Dinggang Shen

Dinggang Shen, F. H. Qi, D.G. Shen, 1993, Proceedings of TENCON '93. IEEE Region 10 International Conference on Computers, Communications and Automation.

Joint 6D k-q Space Compressed Sensing for Accelerated High Angular Resolution Diffusion MRI

Dinggang Shen, Pew-Thian Yap, Jian Cheng, 2015, IPMI.

Semi-supervised Hierarchical Multimodal Feature and Sample Selection for Alzheimer's Disease Diagnosis

Dinggang Shen, Jun Zhang, Ehsan Adeli, 2016, MICCAI.

Manifold Regularized Multi-Task Feature Selection for Multi-Modality Classification in Alzheimer's Disease

Daoqiang Zhang, Dinggang Shen, Bo Cheng, 2013, MICCAI.

Registration of Longitudinal Image Sequences with Implicit Template and Spatial-Temporal Heuristics

Dinggang Shen, Qian Wang, Guorong Wu, 2010, MICCAI.

Consistent Estimation of Cardiac Motions by 4D Image Registration

Dinggang Shen, Hari Sundar, Yong Fan, 2005, MICCAI.

Parallel optimization of tumor model parameters for fast registration of brain tumor images

Dinggang Shen, Christos Davatzikos, Evangelia I. Zacharaki, 2008, SPIE Medical Imaging.

Prostate Segmentation in CT Images via Spatial-Constrained Transductive Lasso

Yinghuan Shi, Shu Liao, Yaozong Gao, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Meta-Network Analysis of Structural Correlation Networks Provides Insights Into Brain Network Development

Dinggang Shen, Han Zhang, Ping He, 2019, Front. Hum. Neurosci..

Image denoising with morphology- and size-adaptive block-matching transform domain filtering

Dinggang Shen, Yingkun Hou, Dinggang Shen, 2018, EURASIP Journal on Image and Video Processing.

Morphological classification of brains via high-dimensional shape transformations and machine learning methods

Dinggang Shen, Christos Davatzikos, Bilge Karaçali, 2004, NeuroImage.

Hierarchical Representation For Ct Prostate Segmentation

Yaozong Gao, Dinggang Shen, Shuai Wang, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

Construction of spatiotemporal infant cortical surface atlas of rhesus macaque

Dinggang Shen, Fan Wang, Li Wang, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Development of Cortical Anatomical Properties from Early Childhood to Early Adulthood

Dinggang Shen, Gang Li, Jingxin Nie, 2022 .

Deep Learning for Fast and Spatially-Constrained Tissue Quantification from Highly-Undersampled Data in Magnetic Resonance Fingerprinting (MRF)

Dinggang Shen, Yong Chen, Mingxia Liu, 2018, MLMI@MICCAI.

Automatic Segmentation of 3D Perivascular Spaces in 7T MR Images Using Multi-Channel Fully Convolutional Network.

Dinggang Shen, Jun Zhang, Chunfeng Lian, 2018, Proceedings of the International Society for Magnetic Resonance in Medicine ... Scientific Meeting and Exhibition. International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition.

Inferring group-wise consistent multimodal brain networks via multi-view spectral clustering.

Dinggang Shen, Tuo Zhang, Dajiang Zhu, 2013, IEEE transactions on medical imaging.

Correction to "Scalable High-Performance Image Registration Framework by Unsupervised Deep Feature Representations Learning"

Dinggang Shen, Qian Wang, Guorong Wu, 2017, IEEE Trans. Biomed. Eng..

Image registration by local histogram matching

Dinggang Shen, D. Shen, 2007, Pattern Recognit..

RABBIT: Rapid alignment of brains by building intermediate templates

Dinggang Shen, Guorong Wu, Yong Fan, 2009, NeuroImage.

Deep Learning Techniques on Texture Analysis of Chest and Breast Images

Dinggang Shen, Chung-Ming Chen, Jie-Zhi Cheng, 2017 .

Genotype-phenotype association study via new multi-task learning model

Dinggang Shen, Heng Huang, Zhouyuan Huo, 2018, PSB.

LATEST: Local AdapTivE and Sequential Training for Tissue Segmentation of Isointense Infant Brain MR Images

Yaozong Gao, Dinggang Shen, Li Wang, 2016, MCV/BAMBI@MICCAI.

A Generalized Learning Based Framework for Fast Brain Image Registration

Dinggang Shen, Guorong Wu, Pew-Thian Yap, 2010, MICCAI.

Iterative multi-atlas-based multi-image segmentation with tree-based registration

Dinggang Shen, Hongjun Jia, Pew-Thian Yap, 2012, NeuroImage.

Robust detection of skewed symmetries

Dinggang Shen, Eam Khwang Teoh, Horace Ho-Shing Ip, 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

Semantic-guided Encoder Feature Learning for Blurry Boundary Delineation pdf

Dinggang Shen, Dong Nie, 2019, ArXiv.

Weakly Supervised Deep Learning for Brain Disease Prognosis Using MRI and Incomplete Clinical Scores

Dinggang Shen, Jun Zhang, Chunfeng Lian, 2020, IEEE Transactions on Cybernetics.

Registering Histological and MR Images of Prostate for Image-Based Cancer Detection

Dinggang Shen, Christos Davatzikos, Yiqiang Zhan, 2006, MICCAI.

Multiple-Network Classification of Childhood Autism Using Functional Connectivity Dynamics

Dinggang Shen, Wei Gao, Chong-Yaw Wee, 2014, MICCAI.

Novel Effective Connectivity Network Inference for MCI Identification

Dinggang Shen, Ke Li, Hao Yang, 2017, MLMI@MICCAI.

Identification of breast vascular calcium deposition in digital mammography by linear structure analysis

Dinggang Shen, Chung-Ming Chen, Jie-Zhi Cheng, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Applications of wavelets in morphometric analysis of medical images

Dinggang Shen, Christos Davatzikos, Xiaodong Tao, 2003, SPIE Optics + Photonics.

TENSOR GENERALIZED ESTIMATING EQUATIONS FOR LONGITUDINAL IMAGING ANALYSIS.

Dinggang Shen, Xiang Zhang, Lexin Li, 2014, Statistica Sinica.

Segmentation of prostate boundaries from ultrasound images using statistical shape model

Dinggang Shen, Christos Davatzikos, Yiqiang Zhan, 2003, IEEE Transactions on Medical Imaging.

Joint Craniomaxillofacial Bone Segmentation and Landmark Digitization by Context-Guided Fully Convolutional Networks

Dinggang Shen, Peng Yuan, Jun Zhang, 2017, MICCAI.

Groupwise registration based on hierarchical image clustering and atlas synthesis

Dinggang Shen, Qian Wang, Guorong Wu, 2010, Human brain mapping.

Patch-driven neonatal brain MRI segmentation with sparse representation and level sets

Dinggang Shen, John H. Gilmore, Li Wang, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Spatial normalization of diffusion tensor images based on anisotropic segmentation

Dinggang Shen, Xiaoying Wu, Christos Davatzikos, 2008, SPIE Medical Imaging.

Deformable Image Registration Using a Cue-Aware Deep Regression Network

Dinggang Shen, Qian Wang, Jun Zhang, 2018, IEEE Transactions on Biomedical Engineering.

Hierarchical Ensemble of Multi-level Classifiers for Diagnosis of Alzheimer's Disease

Daoqiang Zhang, Dinggang Shen, Manhua Liu, 2012, MLMI.

Learning to Rank Atlases for Multiple-Atlas Segmentation

Yaozong Gao, Dinggang Shen, Guorong Wu, 2014, IEEE Transactions on Medical Imaging.

Multi-label Inductive Matrix Completion for Joint MGMT and IDH1 Status Prediction for Glioma Patients

Dinggang Shen, Qian Wang, Kim-Han Thung, 2017, MICCAI.

Initialising Groupwise Non-rigid Registration Using Multiple Parts+Geometry Models

Dinggang Shen, Timothy F. Cootes, Pew-Thian Yap, 2012, MICCAI.

Groupwise registration from exemplar to group mean: Extending HAMMER to groupwise registration

Dinggang Shen, Qian Wang, Guorong Wu, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Dinggang Shen, Xiaofeng Zhu, Han Zhang, 2019, Pattern Recognit..

Machine Learning in Medical Imaging

Dinggang Shen, Pingkun Yan, Fei Wang, 2012, Lecture Notes in Computer Science.

Construction of spatiotemporal neonatal cortical surface atlases using a large-scale dataset

Dinggang Shen, John H. Gilmore, Li Wang, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Deformable registration of male pelvises in CT images

Dinggang Shen, Russell H. Taylor, Yiqiang Zhan, 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

Supervised Discriminative Group Sparse Representation for Mild Cognitive Impairment Diagnosis

Dinggang Shen, Heung-Il Suk, Chong-Yaw Wee, 2014, Neuroinformatics.

Exploring High-Order Functional Interactions via Structurally-Weighted LASSO Models

Dinggang Shen, Dajiang Zhu, Xi Jiang, 2013, IPMI.

Tensorial Spherical Polar Fourier Diffusion MRI with Optimal Dictionary Learning

Dinggang Shen, Pew-Thian Yap, Jian Cheng, 2015, MICCAI.

Frnet: Flattened Residual Network for Infant MRI Skull Stripping

Dinggang Shen, Qian Zhang, Gang Li, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

Regression Convolutional Neural Network for Automated Pediatric Bone Age Assessment From Hand Radiograph

Dinggang Shen, Yiqiang Zhan, Qian Wang, 2019, IEEE Journal of Biomedical and Health Informatics.

Hierarchical Reconstruction of 7T-like Images from 3T MRI Using Multi-level CCA and Group Sparsity

Dinggang Shen, Feng Shi, Xiaopeng Zong, 2015, MICCAI.

Joint Learning of Appearance and Transformation for Predicting Brain MR Image Registration

Dinggang Shen, Qian Wang, Guorong Wu, 2013, IPMI.

Flexible Locally Weighted Penalized Regression With Applications on Prediction of Alzheimer’s Disease Neuroimaging Initiative’s Clinical Scores

Dinggang Shen, Yufeng Liu, Peiyao Wang, 2019, IEEE Transactions on Medical Imaging.

Proceedings of the Second international conference on Machine learning in medical imaging

Dinggang Shen, Pingkun Yan, Kenji Suzuki, 2010 .

Spherical U-Net For Infant Cortical Surface Parcellation

Dinggang Shen, Li Wang, Weili Lin, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

Longitudinal Guided Super-Resolution Reconstruction of Neonatal Brain MR Images

Dinggang Shen, Li Wang, Feng Shi, 2014, STIA.

Max-Margin Based Learning for Discriminative Bayesian Network from Neuroimaging Data

Dinggang Shen, Lei Wang, Philip Ogunbona, 2014, MICCAI.

Sparse temporally dynamic resting-state functional connectivity networks for early MCI identification

Dinggang Shen, Sen Yang, Pew-Thian Yap, 2013, Brain Imaging and Behavior.

Semi-supervised multimodal classification of alzheimer's disease

Daoqiang Zhang, Dinggang Shen, Daoqiang Zhang, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Locally-constrained boundary regression for segmentation of prostate and rectum in the planning CT images

Yaozong Gao, Dinggang Shen, Xin Yang, 2015, Medical Image Anal..

Low-Rank Representation for Multi-center Autism Spectrum Disorder Identification

Daoqiang Zhang, Dinggang Shen, Mingxia Liu, 2018, MICCAI.

Hierarchical Multi-modal Image Registration by Learning Common Feature Representations

Yaozong Gao, Dinggang Shen, Guorong Wu, 2015, MLMI.

Joint Segmentation of Multiple Thoracic Organs in CT Images with Two Collaborative Deep Architectures

Dinggang Shen, Su Ruan, Dong Nie, 2017, DLMIA/ML-CDS@MICCAI.

First-year development of modules and hubs in infant brain functional networks

Dinggang Shen, Jun Zhang, Han Zhang, 2019, NeuroImage.

Brain Connectivity Hyper-Network for MCI Classification

Daoqiang Zhang, Dinggang Shen, Biao Jie, 2014, MICCAI.

Spatio‐angular consistent construction of neonatal diffusion MRI atlases

Dinggang Shen, Feng Shi, Pew-Thian Yap, 2017, Human brain mapping.

Single- and Multiple-Shell Uniform Sampling Schemes for Diffusion MRI Using Spherical Codes

Dinggang Shen, Pew-Thian Yap, Jian Cheng, 2017, IEEE Transactions on Medical Imaging.

Domain Transfer Learning for MCI Conversion Prediction

Daoqiang Zhang, Dinggang Shen, Bo Cheng, 2012, MICCAI.

Interactive Registration and Segmentation for Multi-Atlas-Based Labeling of Brain MR Image

Dinggang Shen, Qian Wang, Guorong Wu, 2015, CCCV.

Interactive prostate segmentation using atlas-guided semi-supervised learning and adaptive feature selection.

Yinghuan Shi, Yaozong Gao, Dinggang Shen, 2014, Medical physics.

Non-rigid registration between histological and MR images of the prostate: A joint segmentation and registration framework

Dinggang Shen, Christos Davatzikos, Michael D. Feldman, 2009, 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

Latent Representation Learning for Alzheimer’s Disease Diagnosis With Incomplete Multi-Modality Neuroimaging and Genetic Data

Dinggang Shen, Kim-Han Thung, Mingxia Liu, 2019, IEEE Transactions on Medical Imaging.

Multiple Cortical Surface Correspondence Using Pairwise Shape Similarity

Dinggang Shen, Feng Shi, Song Wang, 2010, MICCAI.

Non-Negative Spherical Deconvolution (NNSD) for estimation of fiber Orientation Distribution Function in single-/multi-shell diffusion MRI

Rachid Deriche, Dinggang Shen, Tianzi Jiang, 2014, NeuroImage.

Robust Group Comparison Using Non-Parametric Block-Based Statistics

Dinggang Shen, Sven Haller, Wenliang Pan, 2018, 1807.09157.

Partition Cortical Surfaces into Supervertices: Method and Application

Dinggang Shen, Gang Li, Jingxin Nie, 2012, MeshMed.

Multi-Domain Transfer Learning for Early Diagnosis of Alzheimer’s Disease

Daoqiang Zhang, Dinggang Shen, Bo Cheng, 2016, Neuroinformatics.

Integration of sparse multi-modality representation and anatomical constraint for isointense infant brain MR image segmentation

Yaozong Gao, Dinggang Shen, John H. Gilmore, 2014, NeuroImage.

Diffusion Compartmentalization Using Response Function Groups with Cardinality Penalization

Dinggang Shen, Pew-Thian Yap, Yong Zhang, 2015, MICCAI.

A Hybrid of Deep Network and Hidden Markov Model for MCI Identification with Resting-State fMRI

Dinggang Shen, Heung-Il Suk, Seong-Whan Lee, 2015, MICCAI.

Application of neuroanatomical features to tractography clustering

Dinggang Shen, Qian Wang, Guorong Wu, 2013, Human brain mapping.

Dilated Dense U-Net for Infant Hippocampus Subfield Segmentation

Dinggang Shen, Feng Shi, Weili Lin, 2019, Front. Neuroinform..

iTree: Fast and accurate image registration based on the combinative and incremental tree

Dinggang Shen, Qian Wang, Guorong Wu, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Learning Image Context for Segmentation of Prostate in CT-Guided Radiotherapy

Wei Li, Shu Liao, Dinggang Shen, 2011, MICCAI.

Malignant Brain Tumor Classification Using the Random Forest Method

Yaozong Gao, Dinggang Shen, Han Zhang, 2018, S+SSPR.

Topography-Based Registration of Developing Cortical Surfaces in Infants Using Multidirectional Varifold Representation

Dinggang Shen, Islem Rekik, Weili Lin, 2015, MICCAI.

Unsupervised Deep Learning for Hippocampus Segmentation in 7.0 Tesla MR Images

Dinggang Shen, Guorong Wu, Minjeong Kim, 2013, MLMI.

Late Fusion Incomplete Multi-View Clustering

Dinggang Shen, Xinwang Liu, Jianping Yin, 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Identification of Infants at Risk for Autism Using Multi-parameter Hierarchical White Matter Connectomes

Dinggang Shen, Kim-Han Thung, Feng Shi, 2015, MLMI.

Adaptive-Focus Statistical Shape Model for Segmentation of 3D MR Structures

Dinggang Shen, Christos Davatzikos, 2000, MICCAI.

Sampling the spatial patterns of cancer: Optimized biopsy procedures for estimating prostate cancer volume and Gleason Score

Dinggang Shen, Christos Davatzikos, Yangming Ou, 2009, Medical Image Anal..

Classification of Structural Images via High-Dimensional Image Warping, Robust Feature Extraction, and SVM

Dinggang Shen, Christos Davatzikos, Yong Fan, 2005, MICCAI.

Functional Brain Network Estimation with Time Series Self-scrubbing

Dinggang Shen, Lishan Qiao, Weikai Li, 2017, bioRxiv.

Diffusion tensor image registration using hybrid connectivity and tensor features

Dinggang Shen, Qian Wang, Guorong Wu, 2014, Human brain mapping.

Difficulty-Aware Attention Network with Confidence Learning for Medical Image Segmentation

Dinggang Shen, Ehsan Adeli, Dong Nie, 2019, AAAI.

Video Segment Indexing through Classification and Interactive View-Based Query

Dinggang Shen, Wei Xiong, John Chung-Mong Lee, 1995, ACCV.

Multi-Atlas Based Segmentation of Brainstem Nuclei from MR Images by Deep Hyper-Graph Learning

Dinggang Shen, Yue Gao, Qian Wang, 2016, Patch-MI@MICCAI.

Lane detection using spline model

Dinggang Shen, Eam Khwang Teoh, Yue Wang, 2000, Pattern Recognit. Lett..

Large Deformation Image Classification Using Generalized Locality-Constrained Linear Coding

Dinggang Shen, Marc Niethammer, Pew-Thian Yap, 2013, MICCAI.

Connectivity strength‐weighted sparse group representation‐based brain network construction for MCI classification

Dinggang Shen, Zhihui Wei, Xiaobo Chen, 2017, Human brain mapping.

Atlas-Guided Multi-channel Forest Learning for Human Brain Labeling

Yaozong Gao, Dinggang Shen, Ligang Wu, 2014, MCV.

Image mosaicking using SURF features of line segments

Dinggang Shen, Pew-Thian Yap, Zhanlong Yang, 2017, PloS one.

Temporally Constrained Group Sparse Learning for Longitudinal Data Analysis in Alzheimer's Disease

Daoqiang Zhang, Dinggang Shen, Mingxia Liu, 2017, IEEE Transactions on Biomedical Engineering.

Learning Appearance and Shape Evolution for Infant Image Registration in the First Year of Life

Yaozong Gao, Dinggang Shen, Guorong Wu, 2016, MLMI@MICCAI.

EditorialMachine Learning and Data Mining in Medical Imaging

Daoqiang Zhang, Dinggang Shen, Bahram Parvin, 2015, IEEE J. Biomed. Health Informatics.

Regularized Modal Regression with Applications in Cognitive Impairment Prediction

Dinggang Shen, Hong Chen, Heng Huang, 2017, NIPS.

White matter abnormalities revealed by diffusion tensor imaging in non-demented and demented HIV+ patients

Dinggang Shen, Hongtu Zhu, Weili Lin, 2009, NeuroImage.

Integrating Multiple Network Properties for MCI Identification

Daoqiang Zhang, Dinggang Shen, Heung-Il Suk, 2013, MLMI.

Brain anatomical networks in early human brain development

Dinggang Shen, John H. Gilmore, Yong Fan, 2011, NeuroImage.

Sparse Patch Based Prostate Segmentation in CT Images

Shu Liao, Yaozong Gao, Dinggang Shen, 2012, MICCAI.

Consistent Spatial-Temporal Longitudinal Atlas Construction for Developing Infant Brains

Dinggang Shen, Guorong Wu, Li Wang, 2016, IEEE Transactions on Medical Imaging.

Estimating CT Image From MRI Data Using Structured Random Forest and Auto-Context Model

Yaozong Gao, Dinggang Shen, Li Wang, 2016, IEEE Transactions on Medical Imaging.

Multi-Atlas Segmentation of MR Tumor Brain Images Using Low-Rank Based Image Recovery

Dinggang Shen, Pew-Thian Yap, Zhenyu Tang, 2018, IEEE Transactions on Medical Imaging.

COMPARE: Classification of Morphological Patterns Using Adaptive Regional Elements

Dinggang Shen, Christos Davatzikos, Yong Fan, 2007, IEEE Transactions on Medical Imaging.

A framework for predictive modeling of anatomical deformations

Dinggang Shen, Christos Davatzikos, Ashraf Mohamed, 2001, IEEE Transactions on Medical Imaging.

A learning-based CT prostate segmentation method via joint transductive feature selection and regression

Yinghuan Shi, Shu Liao, Yaozong Gao, 2016, Neurocomputing.

Consistent Reconstruction of Cortical Surfaces from Longitudinal Brain MR Images

Dinggang Shen, Gang Li, Jingxin Nie, 2011, MICCAI.

Learning non‐linear patch embeddings with neural networks for label fusion

Oualid M. Benkarim, Dinggang Shen, Oscar Camara, 2018, Medical Image Anal..

Multi-Modal Multi-Task Learning for Joint Prediction of Clinical Scores in Alzheimer's Disease

Daoqiang Zhang, Dinggang Shen, Daoqiang Zhang, 2011, MBIA.

ABSORB: Atlas building by Self-Organized Registration and Bundling

Dinggang Shen, Qian Wang, Guorong Wu, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Dinggang Shen, Xiaofeng Zhu, Heung-Il Suk, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Tissue probability map constrained 4D clustering algorithm for increased accuracy and robustness in SerialMR brain image segmentation

Dinggang Shen, Stephen T. C. Wong, Hai Li, 2011, Int. J. Medical Eng. Informatics.

Discriminative Dimensionality Reduction for Patch-Based Label Fusion

Oualid M. Benkarim, Dinggang Shen, Xiaofeng Zhu, 2015, MLMMI@ICML.

Landmark‐based deep multi‐instance learning for brain disease diagnosis

Dinggang Shen, Jun Zhang, Ehsan Adeli, 2018, Medical Image Anal..

Deep Learning of Static and Dynamic Brain Functional Networks for Early MCI Detection

Dinggang Shen, Zhicheng Jiao, Tae-Eui Kam, 2020, IEEE Transactions on Medical Imaging.

Reconstruction in deep learning of highly under-sampled T2-weighted image with T1-weighted image.

Dinggang Shen, Qian Wang, Yong Chen, 2018, Proceedings of the International Society for Magnetic Resonance in Medicine ... Scientific Meeting and Exhibition. International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition.

View‐aligned hypergraph learning for Alzheimer's disease diagnosis with incomplete multi‐modality data

Dinggang Shen, Jun Zhang, Mingxia Liu, 2017, Medical Image Anal..

Dinggang Shen, Xiaohuan Cao, Pew-Thian Yap, 2018, MICCAI.

Detecting reflection axes by energy minimisation

Dinggang Shen, Eam Khwang Teoh, Horace Ho-Shing Ip, 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

Inter-modality relationship constrained multi-modality multi-task feature selection for Alzheimer's Disease and mild cognitive impairment identification

Dinggang Shen, Feng Liu, Chong-Yaw Wee, 2014, NeuroImage.

Learning of Atlas Forest Hierarchy for Automatic Labeling of MR Brain Images

Yaozong Gao, Dinggang Shen, Qian Wang, 2014, MLMI.

Early Diagnosis of Alzheimer's Disease by Joint Feature Selection and Classification on Temporally Structured Support Vector Machine

Dinggang Shen, Xiaofeng Zhu, Guorong Wu, 2016, MICCAI.

Groupwise Registration with Sharp Mean

Dinggang Shen, Qian Wang, Guorong Wu, 2010, MICCAI.

Consistent sulcal parcellation of longitudinal cortical surfaces

Dinggang Shen, Yang Li, Gang Li, 2011, ISBI.

Image Registration by Hierarchical Matching of Local Spatial Intensity Histograms

Dinggang Shen, 2004, MICCAI.

Estimating CT Image from MRI Data Using 3D Fully Convolutional Networks

Yaozong Gao, Dinggang Shen, Xiaohuan Cao, 2016, LABELS/DLMIA@MICCAI.

MCI Identification by Joint Learning on Multiple MRI Data

Dinggang Shen, Yue Gao, Sven Haller, 2015, MICCAI.

Context-Aware Anatomical Landmark Detection: Application to Deformable Model Initialization in Prostate CT Images

Yaozong Gao, Dinggang Shen, 2014, MLMI.

Diagnosis of Autism Spectrum Disorders Using Multi-Level High-Order Functional Networks Derived From Resting-State Functional MRI

Dinggang Shen, Feng Zhao, Han Zhang, 2018, Front. Hum. Neurosci..

Neonatal brain image segmentation in longitudinal MRI studies

Dinggang Shen, John H. Gilmore, Yong Fan, 2010, NeuroImage.

Multi-modal Neuroimaging Data Fusion via Latent Space Learning for Alzheimer's Disease Diagnosis

Dinggang Shen, Kim-Han Thung, Feng Shi, 2018, PRIME@MICCAI.

Efficient Groupwise Registration of MR Brain Images via Hierarchical Graph Set Shrinkage

Dinggang Shen, Xiaohuan Cao, Pew-Thian Yap, 2018, MICCAI.

Affine-invariant image retrieval by correspondence matching of shapes

Dinggang Shen, Horace Ho-Shing Ip, Wai-Him Wong, 1999, Image Vis. Comput..

Deep Adversarial Learning for Multi-Modality Missing Data Completion

Dinggang Shen, Zhengyang Wang, Shuiwang Ji, 2018, KDD.

Fast image registration by hierarchical soft correspondence detection

Dinggang Shen, 2009, Pattern Recognit..

Predictive Models of Resting State Networks for Assessment of Altered Functional Connectivity in MCI

Dinggang Shen, Tuo Zhang, Dajiang Zhu, 2013, MICCAI.

Attribute Vector Guided Groupwise Registration

Dinggang Shen, Qian Wang, Guorong Wu, 2009, MICCAI.

Increasing Efficiency of SVM by Adaptively Penalizing Outliers

Dinggang Shen, Yiqiang Zhan, D. Shen, 2005, EMMCVPR.

Interleaved 3D-CNNs for joint segmentation of small-volume structures in head and neck CT images.

Dinggang Shen, Qian Wang, Huan Zhang, 2018, Medical physics.

Joint estimation of multiple clinical variables of neurological diseases from imaging patterns

Dinggang Shen, Yang Fan, Daniel Kaufer, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Robust Anatomical Correspondence Detection by Graph Matching with Sparsity Constraint

Dinggang Shen, Yanrong Guo, Jianguo Jiang, 2012, MCV.

Super-resolution reconstruction of neonatal brain magnetic resonance images via residual structured sparse representation

Dinggang Shen, Pew-Thian Yap, Weili Lin, 2019, Medical Image Anal..

Learning Longitudinal Deformations for Adaptive Segmentation of Lung Fields from Serial Chest Radiographs

Dinggang Shen, Yonghong Shi, 2008, MIAR.

q-Space Upsampling Using x-q Space Regularization

Dinggang Shen, Bin Dong, Pew-Thian Yap, 2017, MICCAI.

Diagnosis of Alzheimer's Disease Using View-Aligned Hypergraph Learning with Incomplete Multi-modality Data

Dinggang Shen, Jun Zhang, Mingxia Liu, 2016, MICCAI.

Dual-Layer ℓ1-Graph Embedding for Semi-supervised Image Labeling

Dinggang Shen, Qian Wang, Guorong Wu, 2015, Patch-MI@MICCAI.

3D Auto-Context-Based Locality Adaptive Multi-Modality GANs for PET Synthesis

Dinggang Shen, Xi Wu, Chen Zu, 2019, IEEE Transactions on Medical Imaging.

Deep auto-context convolutional neural networks for standard-dose PET image estimation from low-dose PET/MRI

Dinggang Shen, Qian Wang, Yu Qiao, 2017, Neurocomputing.

Segmenting Hippocampus from Infant Brains by Sparse Patch Matching with Deep-Learned Features

Dinggang Shen, Yanrong Guo, Guorong Wu, 2014, MICCAI.

An efficient radius-incorporated MKL algorithm for Alzheimer's disease prediction

Dinggang Shen, Lei Wang, Jianping Yin, 2015, Pattern Recognit..

Task Decomposition and Synchronization for Semantic Biomedical Image Segmentation

Dinggang Shen, Fan Yang, Qian Wang, 2019, IEEE Transactions on Image Processing.

Cognitive Impairment Prediction in Alzheimer’s Disease with Regularized Modal Regression

Dinggang Shen, Xiaoqian Wang, Hong Chen, 2017, NIPS 2017.

Large deformation diffeomorphic registration of diffusion-weighted imaging data

Dinggang Shen, Marc Niethammer, Pew-Thian Yap, 2014, Medical Image Anal..

Detection and analysis of T2DM biomarkers from brain MR images using BrainLab

Dinggang Shen, Lin Ma, Bo Peng, 2014, 2014 7th International Conference on Biomedical Engineering and Informatics.

Tailor the longitudinal anaysis for nih longitudinal normal brain developmental study

Dinggang Shen, Hongtu Zhu, Weili Lin, 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).

The Non-Local Bootstrap - Estimation of Uncertainty in Diffusion MRI

Dinggang Shen, Pew-Thian Yap, Yasheng Chen, 2013, IPMI.

TPS-HAMMER: Improving HAMMER registration algorithm by soft correspondence matching and thin-plate splines based deformation interpolation

Dinggang Shen, Guorong Wu, Pew-Thian Yap, 2010, NeuroImage.

An Area-Based Shape Representation for Affine Invariant Content-Based Retrieval

Dinggang Shen, Horace Ho-Shing Ip, Ken Chee-keung Law, 1998, Multimedia Information Analysis and Retrieval.

Structured Sparse Kernel Learning for Imaging Genetics Based Alzheimer's Disease Diagnosis

Dinggang Shen, Xiaofeng Zhu, Yan Jin, 2016, MICCAI.

De-enhancing the Dynamic Contrast-Enhanced Breast MRI for Robust Registration

Dinggang Shen, Yuanjie Zheng, Mitchell D. Schnall, 2007, MICCAI.

An Efficient Method for Deformable Segmentation of 3D US Prostate Images

Dinggang Shen, Yiqiang Zhan, 2004, MIAR.

Estimating myocardial motion by 4D image warping

Dinggang Shen, Hari Sundar, Harold Litt, 2009, Pattern Recognit..

Resolution enhancement of lung 4D-CT via group-sparsity.

Dinggang Shen, Guorong Wu, Jun Lian, 2013, Medical physics.

Deep Chronnectome Learning via Full Bidirectional Long Short-Term Memory Networks for MCI Diagnosis

Dinggang Shen, Han Zhang, Jing Sui, 2018, MICCAI.

Design efficient support vector machine for fast classification

Dinggang Shen, Yiqiang Zhan, D. Shen, 2005, Pattern Recognit..

Learning Best Features for Deformable Registration of MR Brains

Dinggang Shen, Guorong Wu, Feihu Qi, 2005, MICCAI.

Resting-state functional MRI studies on infant brains: A decade of gap-filling efforts

Dinggang Shen, Han Zhang, Weili Lin, 2019, NeuroImage.

Multi-Hypergraph Learning for Incomplete Multimodality Data

Dinggang Shen, Yue Gao, Mingxia Liu, 2018, IEEE Journal of Biomedical and Health Informatics.

Learning-based deformation estimation for fast non-rigid registration

Dinggang Shen, Myoung-Hee Kim, Min-Jeong Kim, 2008, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

Deep Learning based Inter-Modality Image Registration Supervised by Intra-Modality Similarity

Dinggang Shen, Qian Wang, Xiaohuan Cao, 2018, MLMI@MICCAI.

Regularization of diffusion tensor field using coupled robust anisotropic diffusion filters

Dinggang Shen, Wei Gao, Hongtu Zhu, 2009, 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

Multivariate examination of brain abnormality using both structural and functional MRI

Dinggang Shen, Brian B. Avants, James C. Gee, 2007, NeuroImage.

Group sparse reduced rank regression for neuroimaging genetic study

Dinggang Shen, Xiaofeng Zhu, Heung-Il Suk, 2018, World Wide Web.

Multi-atlas and Multi-modal Hippocampus Segmentation for Infant MR Brain Images by Propagating Anatomical Labels on Hypergraph

Dinggang Shen, Yanrong Guo, Guorong Wu, 2015, Patch-MI@MICCAI.

Correlation-Weighted Sparse Group Representation for Brain Network Construction in MCI Classification

Dinggang Shen, Zhihui Wei, Xiaobo Chen, 2016, MICCAI.

Robust Computation of Mutual Information Using Spatially Adaptive Meshes

Dinggang Shen, Christos Davatzikos, Hari Sundar, 2007, MICCAI.

Predictive modeling of anatomic structures using canonical correlation analysis

Dinggang Shen, Christos Davatzikos, Tianming Liu, 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

Sparse Multiview Task-Centralized Ensemble Learning for ASD Diagnosis Based on Age- and Sex-Related Functional Connectivity Patterns

Dinggang Shen, Qian Wang, Shitong Wang, 2019, IEEE Transactions on Cybernetics.

Brain Tissue Segmentation Based on Diffusion MRI Using ℓ0 Sparse-Group Representation Classification

Dinggang Shen, Pew-Thian Yap, Yong Zhang, 2015, MICCAI.

Automated bone segmentation from dental CBCT images using patch-based sparse representation and convex optimization.

Shu Liao, Yaozong Gao, Dinggang Shen, 2014, Medical physics.

Functional Connectivity Network Fusion with Dynamic Thresholding for MCI Diagnosis

Dinggang Shen, Xi Yang, Xiaobo Chen, 2016, MLMI@MICCAI.

Lane detection and tracking using B-Snake

Dinggang Shen, Eam Khwang Teoh, Yue Wang, 2004, Image Vis. Comput..

Structured Learning for 3-D Perivascular Space Segmentation Using Vascular Features

Yaozong Gao, Dinggang Shen, Sang Hyun Park, 2017, IEEE Transactions on Biomedical Engineering.

Combination of Grey Matter and White Matter Features for Early Prediction of Posttraumatic Stress Disorder

Zhen Wang, Dinggang Shen, Qian Wang, 2016, IDEAL.

Convolutional Neural Network for Reconstruction of 7T-like Images from 3T MRI Using Appearance and Anatomical Features

Dinggang Shen, Feng Shi, Islem Rekik, 2016, LABELS/DLMIA@MICCAI.

Improving Parenchyma Segmentation by Simultaneous Estimation of Tissue Property T1 Map and Group-Wise Registration of Inversion Recovery MR Breast Images

Dinggang Shen, Mitchell D. Schnall, Zhong Xue, 2008, MICCAI.

Joint Learning of Image Regressor and Classifier for Deformable Segmentation of CT Pelvic Organs

Yaozong Gao, Dinggang Shen, Jun Lian, 2015, MICCAI.

Integrated feature extraction and selection for neuroimage classification

Dinggang Shen, Yong Fan, D. Shen, 2009, Medical Imaging.

Multi-source Information Gain for Random Forest: An Application to CT Image Prediction from MRI Data

Yaozong Gao, Dinggang Shen, Li Wang, 2015, MLMI.

Polyp detection during colonoscopy using a regression-based convolutional neural network with a tracker

Carmen C. Y. Poon, Dinggang Shen, Yali Zheng, 2018, Pattern Recognit..

Detail‐preserving construction of neonatal brain atlases in space‐frequency domain

Dinggang Shen, Feng Shi, Pew-Thian Yap, 2016, Human brain mapping.

Temporal Correlation Structure Learning for MCI Conversion Prediction

Dinggang Shen, Heng Huang, Weidong Cai, 2018, MICCAI.

Clustering-Induced Multi-task Learning for AD/MCI Classification

Dinggang Shen, Heung-Il Suk, D. Shen, 2014, MICCAI.

Multifold Acceleration of Diffusion MRI via Deep Learning Reconstruction from Slice-Undersampled Data

Dinggang Shen, Pew-Thian Yap, Geng Chen, 2019, IPMI.

Non-rigid registration between histological and MR images of the prostate: A joint segmentation and registration framework

Dinggang Shen, Christos Davatzikos, John E. Tomaszewski, 2009, CVPR 2009.

Machine Learning Techniques for AD/MCI Diagnosis and Prognosis

Daoqiang Zhang, Dinggang Shen, Luping Zhou, 2014, Machine Learning in Healthcare Informatics.

Semi-supervised learning for pelvic MR image segmentation based on multi-task residual fully convolutional networks

Dinggang Shen, Li Wang, Dong Nie, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Sparse Discriminative Feature Selection for Multi-class Alzheimer's Disease Classification

Dinggang Shen, Xiaofeng Zhu, Heung-Il Suk, 2014, MLMI.

Deformable registration of cortical structures via hybrid volumetric and surface warping

Dinggang Shen, Christos Davatzikos, Tianming Liu, 2004, NeuroImage.

Consciousness Level and Recovery Outcome Prediction Using High-Order Brain Functional Connectivity Network

Dinggang Shen, Ehsan Adeli, Han Zhang, 2017, CNI@MICCAI.

3D Deep Learning for Multi-modal Imaging-Guided Survival Time Prediction of Brain Tumor Patients

Dinggang Shen, Ehsan Adeli, Luyan Liu, 2016, MICCAI.

Characterization of U-shape streamline fibers: Methods and applications

Dinggang Shen, Tuo Zhang, Kaiming Li, 2014, Medical Image Anal..

Multi-modal multi-task learning for joint prediction of multiple regression and classification variables in Alzheimer's disease

Daoqiang Zhang, Dinggang Shen, Daoqiang Zhang, 2012, NeuroImage.

Longitudinal regression analysis of spatial–temporal growth patterns of geometrical diffusion measures in early postnatal brain development with diffusion tensor imaging

Dinggang Shen, John H. Gilmore, Hongtu Zhu, 2011, NeuroImage.

Scalable High-Performance Image Registration Framework by Unsupervised Deep Feature Representations Learning

Dinggang Shen, Qian Wang, Guorong Wu, 2016, IEEE Transactions on Biomedical Engineering.

Probabilistic neural network based on neighbor statistic character and its application in automatic target recognition

Dinggang Shen, Feihu Qi, Tianrong Liu, 1995 .

Sparse Patch-Based Label Propagation for Accurate Prostate Localization in CT Images

Shu Liao, Yaozong Gao, Dinggang Shen, 2013, IEEE Transactions on Medical Imaging.

Discovering Cortical Folding Patterns in Neonatal Cortical Surfaces Using Large-Scale Dataset

Dinggang Shen, John H. Gilmore, Yu Meng, 2016, MICCAI.

Automatic segmentation of neonatal images using convex optimization and coupled level sets

Dinggang Shen, John H. Gilmore, Li Wang, 2011, NeuroImage.

Statistical shape model for automatic skull-stripping of brain images

Dinggang Shen, Christos Davatzikos, Zhiqiang Lao, 2002, Proceedings IEEE International Symposium on Biomedical Imaging.

Minimizing Joint Risk of Mislabeling for Iterative Patch-Based Label Fusion

Shu Liao, Daoqiang Zhang, Dinggang Shen, 2013, MICCAI.

LSTGEE: longitudinal analysis of neuroimaging data

Dinggang Shen, John H. Gilmore, Hongtu Zhu, 2009, Medical Imaging.

CLASSIC: Consistent Longitudinal Alignment and Segmentation for Serial Image Computing

Dinggang Shen, Christos Davatzikos, Zhong Xue, 2006, NeuroImage.

New Multi-task Learning Model to Predict Alzheimer's Disease Cognitive Assessment

Dinggang Shen, Heng Huang, Zhouyuan Huo, 2016, MICCAI.

Statistically optimized biopsy strategy for the diagnosis of prostate cancer

Dinggang Shen, Gabor Fichtinger, Christos Davatzikos, 2001, Proceedings 14th IEEE Symposium on Computer-Based Medical Systems. CBMS 2001.

Detecting Anatomical Landmarks for Fast Alzheimer’s Disease Diagnosis

Yaozong Gao, Dinggang Shen, Yue Gao, 2016, IEEE Transactions on Medical Imaging.

Maximum Mean Discrepancy Based Multiple Kernel Learning for Incomplete Multimodality Neuroimaging Data

Dinggang Shen, Yu Zhang, Xiaofeng Zhu, 2017, MICCAI.

Deformable registration of brain tumor images via a statistical model of tumor-induced deformation

Dinggang Shen, Christos Davatzikos, Evangelia I. Zacharaki, 2006, Medical Image Anal..

Dual-Layer Groupwise Registration for Consistent Labeling of Longitudinal Brain Images

Dinggang Shen, Guorong Wu, Minjeong Kim, 2016, MLMI@MICCAI.

Integration of Sparse Multi-modality Representation and Geometrical Constraint for Isointense Infant Brain Segmentation

Dinggang Shen, John H. Gilmore, Li Wang, 2013, MICCAI.

Hierachical Spherical Harmonics Based Deformable HARDI Registration

Dinggang Shen, John H. Gilmore, Pew-Thian Yap, 2010, MIAR.

Human Brain Connectomics: Networks, Techniques, and Applications [Life Sciences]

Dinggang Shen, Guorong Wu, Pew-Thian Yap, 2010, IEEE Signal Processing Magazine.

Automated Delineation of Calcified Vessels in Mammography by Tracking With Uncertainty and Graphical Linking Techniques

Dinggang Shen, Chung-Ming Chen, Elodia B. Cole, 2012, IEEE Transactions on Medical Imaging.

A Framework for Predictive Modeling of Intra-operative Deformations: A Simulation-Based Study

Dinggang Shen, Christos Davatzikos, Stelios K. Kyriacou, 2000, MICCAI.

Automatic Accurate Infant Cerebellar Tissue Segmentation with Densely Connected Convolutional Network

Dinggang Shen, Han Zhang, Li Wang, 2018, MLMI@MICCAI.

Application and validation of registration framework for real-time atlas guided biopsy

Dinggang Shen, Christos Davatzikos, Dinesh Kant Kumar, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Guest Editorial Special Issue on Deep Learning in Medical Imaging

Dinggang Shen, Li Wang, D. Shen, 2018, IEEE Trans. Biomed. Eng..

Low-Rank Total Variation for Image Super-Resolution

Dinggang Shen, Li Wang, Feng Shi, 2013, MICCAI.

Multi-task prediction of infant cognitive scores from longitudinal incomplete neuroimaging data

Dinggang Shen, Yu Meng, Ehsan Adeli, 2019, NeuroImage.

Statistical representation of high-dimensional deformation fields with application to statistically constrained 3D warping

Dinggang Shen, Christos Davatzikos, Zhong Xue, 2006, Medical Image Anal..

Ultra-Fast T2-Weighted MR Reconstruction Using Complementary T1-Weighted Information

Dinggang Shen, Yong Chen, Qian Wang, 2018, MICCAI.

Learning Distance Transform for Boundary Detection and Deformable Segmentation in CT Prostate Images

Yaozong Gao, Dinggang Shen, Li Wang, 2014, MLMI.

Functional MRI registration with tissue‐specific patch‐based functional correlation tensors

Dinggang Shen, Qianjin Feng, Xiaohuan Cao, 2018, Human brain mapping.

Atlas Construction via Dictionary Learning and Group Sparsity

Dinggang Shen, John H. Gilmore, Yu Zhang, 2012, MICCAI.

Learning-Based Meta-Algorithm for MRI Brain Extraction

Dinggang Shen, John H. Gilmore, Li Wang, 2011, MICCAI.

ABSORB: Atlas building by self-organized registration and bundling

Dinggang Shen, Qian Wang, Guorong Wu, 2010, NeuroImage.

Integration of temporal and spatial properties of dynamic connectivity networks for automatic diagnosis of brain disease

Dinggang Shen, Mingxia Liu, Biao Jie, 2018, Medical Image Anal..

Infant brain development prediction with latent partial multi-view representation learning

Dinggang Shen, Weili Lin, Changqing Zhang, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Beyond IID: Learning to Combine Non-IID Metrics for Vision Tasks

Yinghuan Shi, Dinggang Shen, Wenbin Li, 2017, AAAI.

Cortical enhanced tissue segmentation of neonatal brain MR images acquired by a dedicated phased array coil

Dinggang Shen, Guido Gerig, Lawrence L. Wald, 2009, 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

Support Vector Machines for neuroimage analysis: Interpretation from discrimination

Dinggang Shen, Philip Ogunbona, Lei Wang, 2014 .

Inferring functional network-based signatures via structurally-weighted LASSO model

Dinggang Shen, Dajiang Zhu, Tianming Liu, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Block-Based Statistics for Robust Non-parametric Morphometry

Dinggang Shen, Ke Li, Pew-Thian Yap, 2015, Patch-MI@MICCAI.

Deep Morphological Simplification Network (MS-Net) for Guided Registration of Brain Magnetic Resonance Images pdf

Dinggang Shen, Qian Wang, Xiaohuan Cao, 2019, Pattern Recognit..

Increasing the Efficiency of Support Vector Machine by Simplifying the Shape of Separation Hypersurface

Dinggang Shen, Yiqiang Zhan, 2004, CIS.

Robust anatomical landmark detection with application to MR brain image registration

Yaozong Gao, Dinggang Shen, Dong Han, 2015, Comput. Medical Imaging Graph..

Cortical enhanced tissue segmentation of neonatal brain MR images acquired by a dedicated phased array coil

Dinggang Shen, Lawrence L. Wald, Feng Shi, 2009, 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

Multimodal Hyper-connectivity Networks for MCI Classification

Dinggang Shen, Yang Li, Pew-Thian Yap, 2017, MICCAI.

Collaborative non-local means denoising of magnetic resonance images

Dinggang Shen, Pew-Thian Yap, Pei Zhang, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Estimating patient-specific and anatomically correct reference model for craniomaxillofacial deformity via sparse representation.

Yaozong Gao, Dinggang Shen, Li Wang, 2015, Medical physics.

Medical Imaging and Augmented Reality : Third International Workshop, Shanghai, China, August 17-18, 2006 : proceedings

Dinggang Shen, Guang-Zhong Yang, Lixu Gu, 2006 .

Multi-atlas Based Segmentation Editing with Interaction-Guided Constraints

Yaozong Gao, Dinggang Shen, Sang Hyun Park, 2015, MICCAI.

Estimating functional brain networks by incorporating a modularity prior

Dinggang Shen, Han Zhang, Limei Zhang, 2016, NeuroImage.

Fiber-driven resolution enhancement of diffusion-weighted images

Dinggang Shen, Pew-Thian Yap, Yasheng Chen, 2014, NeuroImage.

Learning Best Features and Deformation Statistics for Hierarchical Registration of MR Brain Images

Dinggang Shen, Guorong Wu, Feihu Qi, 2007, IPMI.

Anatomy‐guided joint tissue segmentation and topological correction for 6‐month infant brain MRI with risk of autism

Dinggang Shen, Ehsan Adeli, Li Wang, 2018, Human brain mapping.

Fetal cortical parcellation based on growth patterns

Oualid M. Benkarim, Dinggang Shen, Caiming Zhang, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Improving Accuracy of Automatic Hippocampus Segmentation in Routine MRI by Features Learned from Ultra-High Field MRI

Dinggang Shen, Feng Shi, Shuyu Li, 2015, Patch-MI@MICCAI.

Estimating myocardial fiber orientations by template warping

Dinggang Shen, Christos Davatzikos, Hari Sundar, 2006, 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006..

Automated Segmentation of CBCT Image with Prior-Guided Sequential Random Forest

Yaozong Gao, Dinggang Shen, Li Wang, 2015, MCV@MICCAI.

Anatomy-Guided Dense Individualized and Common Connectivity-Based Cortical Landmarks (A-DICCCOL)

Dinggang Shen, Jinglei Lv, Tuo Zhang, 2015, IEEE Transactions on Biomedical Engineering.

Designing Single- and Multiple-Shell Sampling Schemes for Diffusion MRI Using Spherical Code

Dinggang Shen, Pew-Thian Yap, Jian Cheng, 2014, MICCAI.

Unpaired Deep Cross-Modality Synthesis with Fast Training

Dinggang Shen, Yang Li, Qian Wang, 2018, DLMIA/ML-CDS@MICCAI.

A generative probability model of joint label fusion for multi-atlas based brain segmentation

Daoqiang Zhang, Dinggang Shen, Feiping Nie, 2014, Medical Image Anal..

Multi-modal Image Registration by Quantitative-Qualitative Measure of Mutual Information (Q-MI)

Dinggang Shen, Feihu Qi, Hongxia Luan, 2005, CVBIA.

MRI-Based Intelligence Quotient (IQ) Estimation with Sparse Learning

Dinggang Shen, Xiaoying Tang, Heung-Il Suk, 2015, PloS one.

Accurate Segmentation of CT Male Pelvic Organs via Regression-Based Deformable Models and Multi-Task Random Forests

Yaozong Gao, Dinggang Shen, Yeqin Shao, 2016, IEEE Transactions on Medical Imaging.

Consistent Multi-Atlas Hippocampus Segmentation for Longitudinal MR Brain Images with Temporal Sparse Representation

Dinggang Shen, Yanrong Guo, Guorong Wu, 2016, Patch-MI@MICCAI.

Lung Nodule Growth Analysis from 3D CT Data with a Coupled Segmentation and Registration Framework

Dinggang Shen, Yuanjie Zheng, Chandra Kambhamettu, 2007, 2007 IEEE 11th International Conference on Computer Vision.

A Learning Based Hierarchical Framework for Automatic Prostate Localization in CT Images

Shu Liao, Dinggang Shen, 2011, Prostate Cancer Imaging.

Hybrid High-order Functional Connectivity Networks Using Resting-state Functional MRI for Mild Cognitive Impairment Diagnosis

Dinggang Shen, Han Zhang, Xiaobo Chen, 2017, Scientific Reports.

Gyral net: A new representation of cortical folding organization

Dinggang Shen, Yujie Li, Tianming Liu, 2017, Medical Image Anal..

Longitudinal Sparse Regression for Neuroimage Based Consciousness Assessing and Tracking of Hydrocephalus Patients

Dinggang Shen, Jin Hu, Qian Wang, 2018, 2018 IEEE International Conference on Big Data and Smart Computing (BigComp).

Mitigating Gyral Bias in Cortical Tractography via Asymmetric Fiber Orientation Distributions

Dinggang Shen, Ye Wu, Pew-Thian Yap, 2019, Medical Image Anal..

Fusion of High-Order and Low-Order Effective Connectivity Networks for MCI Classification

Dinggang Shen, Ke Li, Yang Li, 2017, MLMI@MICCAI.

XQ-SR: Joint x-q space super-resolution with application to infant diffusion MRI

Dinggang Shen, Yong Zhang, Pew-Thian Yap, 2019, Medical Image Anal..

High-Order Graph Matching Based Feature Selection for Alzheimer's Disease Identification

Dinggang Shen, Feng Liu, Heung-Il Suk, 2013, MICCAI.

Weighted graph regularized sparse brain network construction for MCI identification

Dinggang Shen, Lishan Qiao, Mingming Chen, 2019, Pattern Recognit..

Fully convolutional networks for multi-modality isointense infant brain image segmentation

Yaozong Gao, Dinggang Shen, Li Wang, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Modified active contour algorithm (MAXA) based on the edge direction information

Dinggang Shen, Feihu Qi, Dinggang Shen, 1997 .

Automatic segmentation of white matter lesions in T1-weighted brain MR images

Dinggang Shen, Christos Davatzikos, Susan M. Resnick, 2002, Proceedings IEEE International Symposium on Biomedical Imaging.

Deformable Registration of Brain Tumor Images Via a Statistical Model of Tumor-Induced Deformation

Dinggang Shen, Christos Davatzikos, Ashraf Mohamed, 2005, MICCAI.

Multi-Task Linear Programming Discriminant Analysis for the Identification of Progressive MCI Individuals

Dinggang Shen, Kim-Han Thung, Guan Yu, 2014, PloS one.

Erratum to "Predicting Infant Cortical Surface Development Using a 4D Varifold-based Learning Framework and Local Topography-based Shape Morphing" [Med. Image Anal. 28 (2016)1-12]

Dinggang Shen, Islem Rekik, Weili Lin, 2017, Medical Image Anal..

CT Prostate Deformable Segmentation by Boundary Regression

Yaozong Gao, Dinggang Shen, Xin Yang, 2014, MCV.

Tissue probability map constrained CLASSIC for increased accuracy and robustness in serial image segmentation

Dinggang Shen, Stephen T. C. Wong, Zhong Xue, 2009, Medical Imaging.

Deep feature descriptor based hierarchical dense matching for X-ray angiographic images

Jian Yang, Dinggang Shen, Hong Song, 2019, Comput. Methods Programs Biomed..

Interactive Prostate Segmentation Based on Adaptive Feature Selection and Manifold Regularization

Yinghuan Shi, Yaozong Gao, Dinggang Shen, 2014, MLMI.

A Point Says a Lot: An Interactive Segmentation Method for MR Prostate via One-Point Labeling

Yinghuan Shi, Yang Gao, Dinggang Shen, 2017, MLMI@MICCAI.

Segmenting Lung Fields in Serial Chest Radiographs Using Both Population and Patient-Specific Shape Statistics

Dinggang Shen, Zhong Xue, Kyoko Ito, 2006, MICCAI.

Estimating Uncertainty in White Matter Tractography Using Wild Non-local Bootstrap

Dinggang Shen, Pew-Thian Yap, Yasheng Chen, 2013, CDMRI/MMBC@MICCAI.

Pelvic Organ Segmentation Using Distinctive Curve Guided Fully Convolutional Networks.

Yinghuan Shi, Yang Gao, Dinggang Shen, 2019, IEEE transactions on medical imaging.

Measuring the dynamic longitudinal cortex development in infants by reconstruction of temporally consistent cortical surfaces

Dinggang Shen, John H. Gilmore, Li Wang, 2014, NeuroImage.

RADTI: regression analyses of diffusion tensor images

Dinggang Shen, Hongtu Zhu, Weili Lin, 2009, Medical Imaging.

A Novel Multi-relation Regularization Method for Regression and Classification in AD Diagnosis

Dinggang Shen, Xiaofeng Zhu, Heung-Il Suk, 2014, MICCAI.

Uncertainty Estimation in Diffusion MRI Using the Nonlocal Bootstrap

Dinggang Shen, Pew-Thian Yap, Yasheng Chen, 2014, IEEE Transactions on Medical Imaging.

Landmark-Based Alzheimer's Disease Diagnosis Using Longitudinal Structural MR Images

Yaozong Gao, Dinggang Shen, Jun Zhang, 2016, MCV/BAMBI@MICCAI.

Multimodality image registration by maximization of quantitative-qualitative measure of mutual information

Dinggang Shen, Zhong Xue, Feihu Qi, 2008, Pattern Recognit..

Two-Phase Incremental Kernel PCA for Learning Massive or Online Datasets

Dinggang Shen, Feng Zhao, Islem Rekik, 2019, Complex..

Hierarchical active shape models, using the wavelet transform

Dinggang Shen, Christos Davatzikos, Xiaodong Tao, 2003, IEEE Transactions on Medical Imaging.

Lane detection using B-snake

Dinggang Shen, Yue Wang, Eam Khwang Teoh, 1999, Proceedings 1999 International Conference on Information Intelligence and Systems (Cat. No.PR00446).

Statistical Representation and Simulation of High-Dimensional Deformations: Application to Synthesizing Brain Deformations

Dinggang Shen, Christos Davatzikos, Bilge Karaçali, 2005, MICCAI.

Learning-Based Topological Correction for Infant Cortical Surfaces

Dinggang Shen, Yu Meng, Li Wang, 2016, MICCAI.

Prediction of Infant MRI Appearance and Anatomical Structure Evolution Using Sparse Patch-Based Metamorphosis Learning Framework

Dinggang Shen, Guorong Wu, Islem Rekik, 2015, Patch-MI@MICCAI.

Noise reduction in diffusion MRI using non‐local self‐similar information in joint Symbol space

Dinggang Shen, Pew-Thian Yap, Geng Chen, 2018, Medical Image Anal..

Maximum-Margin Based Representation Learning from Multiple Atlases for Alzheimer's Disease Classification

Dinggang Shen, Guorong Wu, Rui Min, 2014, MICCAI.

Locality Adaptive Multi-modality GANs for High-Quality PET Image Synthesis

Dinggang Shen, Lei Wang, Yan Wang, 2018, MICCAI.

DWI Denoising Using Spatial, Angular, and Radiometric Filtering

Dinggang Shen, Pew-Thian Yap, 2012, MBIA.

Ensemble sparse classification of Alzheimer's disease

Daoqiang Zhang, Dinggang Shen, Manhua Liu, 2012, NeuroImage.

Non-local Means Resolution Enhancement of Lung 4D-CT Data

Dinggang Shen, Yu Zhang, Qianjin Feng, 2012, MICCAI.

Developing Novel Weighted Correlation Kernels for Convolutional Neural Networks to Extract Hierarchical Functional Connectivities from fMRI for Disease Diagnosis

Dinggang Shen, Chunfeng Lian, Feng Shi, 2018, MLMI@MICCAI.

Does Manual Delineation only Provide the Side Information in CT Prostate Segmentation?

Yinghuan Shi, Yang Gao, Dinggang Shen, 2017, MICCAI.

A novel framework for longitudinal atlas construction with groupwise registration of subject image sequences

Shu Liao, Dinggang Shen, Guorong Wu, 2011 .

Sparse Multi-Response Tensor Regression for Alzheimer's Disease Study With Multivariate Clinical Assessments

Dinggang Shen, Zhou Li, Heung-Il Suk, 2016, IEEE Transactions on Medical Imaging.

Dual‐core steered non‐rigid registration for multi‐modal images via bi‐directional image synthesis

Yaozong Gao, Dinggang Shen, Yanrong Guo, 2017, Medical Image Anal..

Subspace Regularized Sparse Multitask Learning for Multiclass Neurodegenerative Disease Identification

Dinggang Shen, Xiaofeng Zhu, Heung-Il Suk, 2016, IEEE Transactions on Biomedical Engineering.

Automatic brain labeling via multi‐atlas guided fully convolutional networks☆

Dinggang Shen, Huiguang He, Xiaohuan Cao, 2019, Medical Image Anal..

Measuring temporal morphological changes robustly in brain MR images via 4-dimensional template warping

Dinggang Shen, Christos Davatzikos, D. Shen, 2004, NeuroImage.

Fully automated esophagus segmentation with a hierarchical deep learning approach

Dinggang Shen, Su Ruan, Dong Nie, 2017, 2017 IEEE International Conference on Signal and Image Processing Applications (ICSIPA).

A Hopfield neural network for adaptive image segmentation: An active surface paradigm

Dinggang Shen, Horace Ho-Shing Ip, 1997, Pattern Recognit. Lett..

Learning Pairwise-Similarity Guided Sparse Functional Connectivity Network for MCI Classification

Dinggang Shen, Han Zhang, Yu Zhang, 2017, 2017 4th IAPR Asian Conference on Pattern Recognition (ACPR).

Machine Learning in Medical Imaging

Dinggang Shen, Kenji Suzuki, Pingkun Yan, 2012, Machine Vision and Applications.

Classifying spatial patterns of brain activity with machine learning methods: Application to lie detection

Dinggang Shen, Christos Davatzikos, Yong Fan, 2005, NeuroImage.

Brain MR Image Segmentation in Small Dataset with Adversarial Defense and Task Reorganization pdf

Dinggang Shen, Qian Wang, Lichi Zhang, 2019, MLMI@MICCAI.

Medical Image Synthesis with Deep Convolutional Adversarial Networks

Dinggang Shen, Su Ruan, Qian Wang, 2018, IEEE Transactions on Biomedical Engineering.

Joint Coupled-Feature Representation and Coupled Boosting for AD Diagnosis

Yinghuan Shi, Yang Gao, Dinggang Shen, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Pelvic Organ Segmentation with Sample Attention based Stochastic Connection Networks.

Dinggang Shen, Li Wang, Dong Nie, 2018, Proceedings of the International Society for Magnetic Resonance in Medicine ... Scientific Meeting and Exhibition. International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition.

Regression Guided Deformable Models for Segmentation of Multiple Brain ROIs

Yaozong Gao, Dinggang Shen, Sang Hyun Park, 2016, MLMI@MICCAI.

Collaborative Multi-View Denoising

Dinggang Shen, Lei Zhang, Yong Wang, 2016, KDD.

Graph-Constrained Sparse Construction of Longitudinal Diffusion-Weighted Infant Atlases

Dinggang Shen, Pew-Thian Yap, Weili Lin, 2017, MICCAI.

Structural Feature Selection for Connectivity Network-Based MCI Diagnosis

Daoqiang Zhang, Dinggang Shen, Chong-Yaw Wee, 2012, MBIA.

Dynamic Tree-Based Large-Deformation Image Registration for Multi-atlas Segmentation

Yaozong Gao, Dinggang Shen, Guorong Wu, 2015, MCV@MICCAI.

SPHERE: SPherical Harmonic Elastic REgistration of HARDI data

Dinggang Shen, John H. Gilmore, Yang Yang, 2011, NeuroImage.

Constrained Sparse Functional Connectivity Networks for MCI Classification

Daoqiang Zhang, Dinggang Shen, Lihong Wang, 2012, MICCAI.

A novel relational regularization feature selection method for joint regression and classification in AD diagnosis

Dinggang Shen, Xiaofeng Zhu, Heung-Il Suk, 2017, Medical Image Anal..

Deep Learning Based Imaging Data Completion for Improved Brain Disease Diagnosis

Dinggang Shen, Jiang Li, Heung-Il Suk, 2014, MICCAI.

STRAINet: Spatially Varying sTochastic Residual AdversarIal Networks for MRI Pelvic Organ Segmentation

Li Wang, Yaozong Gao, Dinggang Shen, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Correspondence Detection Using Wavelet-Based Attribute Vectors

Dinggang Shen, Christos Davatzikos, Zhong Xue, 2003, MICCAI.

Fully automatic segmentation of paraspinal muscles from 3D torso CT images via multi-scale iterative random forest classifications

Dinggang Shen, Guoyan Zheng, Hiroshi Fujita, 2018, International Journal of Computer Assisted Radiology and Surgery.

Identifying Autism Spectrum Disorder With Multi-Site fMRI via Low-Rank Domain Adaptation

Dinggang Shen, Mingliang Wang, Mingxia Liu, 2020, IEEE Transactions on Medical Imaging.

Volume-Based Analysis of 6-Month-Old Infant Brain MRI for Autism Biomarker Identification and Early Diagnosis

Dinggang Shen, Han Zhang, Xiaohuan Cao, 2018, MICCAI.

Multi-Label Nonlinear Matrix Completion With Transductive Multi-Task Feature Selection for Joint MGMT and IDH1 Status Prediction of Patient With High-Grade Gliomas

Dinggang Shen, Lei Chen, Luyan Liu, 2018, IEEE Transactions on Medical Imaging.

4D Segmentation of Brain MR Images with Constrained Cortical Thickness Variation

Dinggang Shen, Feng Shi, Gang Li, 2013, PloS one.

Mapping Growth Patterns and Genetic Influences on Early Brain Development in Twins

Dinggang Shen, John H. Gilmore, Hongtu Zhu, 2009, MICCAI.

Attribute Vector Guided Groupwise Registration

Dinggang Shen, Qian Wang, Guorong Wu, 2009, MICCAI.

Predicting Clinical Scores Using Semi-supervised Multimodal Relevance Vector Regression

Daoqiang Zhang, Dinggang Shen, Bo Cheng, 2011, MLMI.

Low-rank dimensionality reduction for multi-modality neurodegenerative disease identification

Dinggang Shen, Xiaofeng Zhu, Heung-Il Suk, 2018, World Wide Web.

Large Deformation Diffeomorphic Registration of Diffusion-Weighted Images

Dinggang Shen, Marc Niethammer, Pew-Thian Yap, 2012, MICCAI.

Sparse Multi-view Task-Centralized Learning for ASD Diagnosis

Dinggang Shen, Shitong Wang, Qian Wang, 2017, MLMI@MICCAI.

Integration of Network Topological and Connectivity Properties for Neuroimaging Classification

Daoqiang Zhang, Dinggang Shen, Wei Gao, 2014, IEEE Transactions on Biomedical Engineering.

Detection of Arterial Calcification in Mammograms by Random Walks

Dinggang Shen, Elodia B. Cole, Etta D. Pisano, 2009, IPMI.

Dense Deformation Reconstruction via Sparse Coding

Dinggang Shen, Guorong Wu, Zhijian Song, 2012, MLMI.

Iterative Subspace Screening for Rapid Sparse Estimation of Brain Tissue Microstructural Properties

Dinggang Shen, Pew-Thian Yap, Yong Zhang, 2015, MICCAI.

Learning Discriminative Bayesian Networks from High-Dimensional Continuous Neuroimaging Data

Dinggang Shen, Lei Wang, Philip Ogunbona, 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Multi-View Missing Data Completion

Dinggang Shen, Zhenfeng Zhu, Shuiwang Ji, 2018, IEEE Transactions on Knowledge and Data Engineering.

Learning-Based Estimation of Functional Correlation Tensors in White Matter for Early Diagnosis of Mild Cognitive Impairment

Dinggang Shen, Qian Wang, Xiaobo Chen, 2017, Patch-MI@MICCAI.

Wavelet Transform Based Rotation Invariant Feature Extraction in Object Recognition

Dinggang Shen, Feihu Qi, Lin Quan, 1994 .

Automatic labeling of MR brain images by hierarchical learning of atlas forests.

Yaozong Gao, Dinggang Shen, Qian Wang, 2016, Medical physics.

Topological graph kernel on multiple thresholded functional connectivity networks for mild cognitive impairment classification

Daoqiang Zhang, Dinggang Shen, Chong-Yaw Wee, 2014, Human brain mapping.

Learning-Based Atlas Selection for Multiple-Atlas Segmentation

Yaozong Gao, Dinggang Shen, Guorong Wu, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Predicting Alzheimer's Disease Cognitive Assessment via Robust Low-Rank Structured Sparse Model

Dinggang Shen, Jie Xu, Heng Huang, 2017, IJCAI.

Multiscale Adaptive Generalized Estimating Equations for Longitudinal Neuroimaging Data ☆

Dinggang Shen, Martin Styner, John H. Gilmore, 2022 .

Effective feature learning and fusion of multimodality data using stage‐wise deep neural network for dementia diagnosis

Dinggang Shen, Xiaofeng Zhu, Kim-Han Thung, 2018, Human brain mapping.

Segmenting Hippocampus from 7.0 Tesla MR Images by Combining Multiple Atlases and Auto-Context Models

Wei Li, Dinggang Shen, Guorong Wu, 2011, MLMI.

SU‐E‐T‐607: Accurate Prostate Localization in CT Images with a Learning Based Hierarchical Framework

Shu Liao, Dinggang Shen, 2011 .

Neonatal brain MRI segmentation by building multi-region-multi-reference atlases

Dinggang Shen, John H. Gilmore, Yong Fan, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Stability-Weighted Matrix Completion of Incomplete Multi-modal Data for Disease Diagnosis

Dinggang Shen, Ehsan Adeli, Kim-Han Thung, 2016, MICCAI.

Longitudinal multi-scale mapping of infant cortical folding using spherical wavelets

Dinggang Shen, John H. Gilmore, Shunren Xia, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

Targeted Prostate Biopsy Using Statistical Image Analysis

Dinggang Shen, Gabor Fichtinger, Christos Davatzikos, 2007, IEEE Transactions on Medical Imaging.

Determining correspondence in 3-D MR brain images using attribute vectors as morphological signatures of voxels

Dinggang Shen, Christos Davatzikos, Zhong Xue, 2004, IEEE Transactions on Medical Imaging.

SharpMean: Groupwise registration guided by sharp mean image and tree-based registration

Dinggang Shen, Qian Wang, Guorong Wu, 2011, NeuroImage.

An adaptive error penalization method for training an efficient and generalized SVM

Dinggang Shen, Yiqiang Zhan, D. Shen, 2006, Pattern Recognit..

Nonlocal atlas-guided multi-channel forest learning for human brain labeling.

Yaozong Gao, Dinggang Shen, Ligang Wu, 2016, Medical physics.

Spatial Transformation of DWI Data Using Non-Negative Sparse Representation

Dinggang Shen, Pew-Thian Yap, D. Shen, 2012, IEEE Transactions on Medical Imaging.

Estimating the 4D respiratory lung motion by spatiotemporal registration and super-resolution image reconstruction.

Dinggang Shen, Qian Wang, Guorong Wu, 2013, Medical physics.

Longitudinal Tractography with Application to Neuronal Fiber Trajectory Reconstruction in Neonates

Dinggang Shen, John H. Gilmore, Pew-Thian Yap, 2011, MICCAI.

Deformable Registration of Tumor-Diseased Brain Images

Dinggang Shen, Christos Davatzikos, Tianming Liu, 2004, MICCAI.

Feature Learning and Fusion of Multimodality Neuroimaging and Genetic Data for Multi-status Dementia Diagnosis

Dinggang Shen, Xiaofeng Zhu, Kim-Han Thung, 2017, MLMI@MICCAI.

Isointense Infant Brain Segmentation by Stacked Kernel Canonical Correlation Analysis

Yaozong Gao, Dinggang Shen, Li Wang, 2015, Patch-MI@MICCAI.

Regularized Spherical Polar Fourier Diffusion MRI with Optimal Dictionary Learning

Rachid Deriche, Dinggang Shen, Tianzi Jiang, 2013, MICCAI.

Erratum to multi-modal multi-task learning for joint prediction of multiple regression and classification variables in Alzheimer's disease [Neuroimage 59/2 (2012) 895–907]

Daoqiang Zhang, Dinggang Shen, Daoqiang Zhang, 2012, NeuroImage.

The UNC/UMN Baby Connectome Project (BCP): An overview of the study design and protocol development

Dinggang Shen, John H. Gilmore, Essa Yacoub, 2019, NeuroImage.

Intermediate templates guided groupwise registration of diffusion tensor images

Dinggang Shen, Qian Wang, Guorong Wu, 2011, NeuroImage.

Multi-Layer Multi-View Classification for Alzheimer's Disease Diagnosis

Dinggang Shen, Ehsan Adeli, Xiaobo Chen, 2018, AAAI.

Automated segmentation of white matter lesions in 3D brain MR images, using multivariate pattern classification

Dinggang Shen, Christos Davatzikos, Bilge Karaçali, 2006, 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006..

Robust Deformable-Surface-Based Skull-Stripping for Large-Scale Studies

Dinggang Shen, Yaping Wang, Lei Guo, 2011, MICCAI.

Multi-atlas Based Simultaneous Labeling of Longitudinal Dynamic Cortical Surfaces in Infants

Dinggang Shen, Li Wang, Feng Shi, 2013, MICCAI.

Proceedings of the 4th International Workshop on Machine Learning in Medical Imaging - Volume 8184

Daoqiang Zhang, Dinggang Shen, Pingkun Yan, 2013, ICML 2013.

Joint Classification and Regression via Deep Multi-Task Multi-Channel Learning for Alzheimer's Disease Diagnosis

Dinggang Shen, Jun Zhang, Ehsan Adeli, 2019, IEEE Transactions on Biomedical Engineering.

Predicting Standard-Dose PET Image from Low-Dose PET and Multimodal MR Images Using Mapping-Based Sparse Representation

Dinggang Shen, Jiliu Zhou, Weili Lin, 2015, MLMI.

Automatic classification of sulcal regions of the human brain cortex using pattern recognition

Dinggang Shen, Jerry L. Prince, Christos Davatzikos, 2003, SPIE Medical Imaging.

Prediction of Longitudinal Development of Infant Cortical Surface Shape Using a 4D Current-Based Learning Framework

Dinggang Shen, Islem Rekik, Weili Lin, 2015, IPMI.

Robust Anatomical Landmark Detection for MR Brain Image Registration

Yaozong Gao, Dinggang Shen, Dong Han, 2014, MICCAI.

Multi-contrast diffusion tensor image registration with structural MRI

Dinggang Shen, Martin Styner, John H. Gilmore, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Joint representation of consistent structural and functional profiles for identification of common cortical landmarks

Dinggang Shen, Yu Zhao, Tianming Liu, 2017, Brain Imaging and Behavior.

Kernel-based multi-task joint sparse classification for Alzheimer'S disease

Dinggang Shen, Manhua Liu, Yaping Wang, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Parcellation of Infant Surface Atlas Using Developmental Trajectories of Multidimensional Cortical Attributes

Dinggang Shen, John H. Gilmore, Li Wang, 2015, MICCAI.

Groupwise registration of breast DCE-MR images for accurate tumor measurement

Dinggang Shen, Guorong Wu, Minjeong Kim, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Discriminative wavelet shape descriptors for recognition of 2-D patterns

Dinggang Shen, Horace Ho-Shing Ip, Dinggang Shen, 1999, Pattern Recognit..

Improved image registration by sparse patch-based deformation estimation

Dinggang Shen, Qian Wang, Guorong Wu, 2015, NeuroImage.

Confidence-Guided Sequential Label Fusion for Multi-atlas Based Segmentation

Daoqiang Zhang, Dinggang Shen, Guorong Wu, 2011, MICCAI.

Deep Learning-Based Feature Representation for AD/MCI Classification

Dinggang Shen, Heung-Il Suk, D. Shen, 2013, MICCAI.

Feature Selection Based on Iterative Canonical Correlation Analysis for Automatic Diagnosis of Parkinson's Disease

Dinggang Shen, Qian Wang, Ehsan Adeli, 2016, MICCAI.

Dual-Domain Cascaded Regression for Synthesizing 7T from 3T MRI

Dinggang Shen, Pew-Thian Yap, Yongqin Zhang, 2018, MICCAI.

Densely Deep Supervised Networks with Threshold Loss for Cancer Detection in Automated Breast Ultrasound

Dinggang Shen, Xin Yang, Min Xu, 2018, MICCAI.

Space-Frequency Detail-Preserving Construction of Neonatal Brain Atlases

Dinggang Shen, Feng Shi, Pew-Thian Yap, 2015, MICCAI.

Hierarchical unbiased group-wise registration for atlas construction and population comparison

Dinggang Shen, John H. Gilmore, Hongtu Zhu, 2009, Medical Imaging.

Surface-constrained volumetric registration for the early developing brain

Dinggang Shen, Gang Li, Li Wang, 2019, Medical Image Anal..

Statistically-based reorientation of diffusion tensor field

Dinggang Shen, Christos Davatzikos, Dongrong Xu, 2002, Proceedings IEEE International Symposium on Biomedical Imaging.

Directed graph based image registration

Dinggang Shen, Yaping Wang, Qian Wang, 2012, Comput. Medical Imaging Graph..

DNA Copy Number Selection Using Robust Structured Sparsity-Inducing Norms

Dinggang Shen, Vangelis Metsis, Fillia Makedon, 2014, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Interactive Medical Image Segmentation via Point-Based Interaction and Sequential Patch Learning pdf

Yinghuan Shi, Yang Gao, Dinggang Shen, 2018, ArXiv.

Application of statistical cancer atlas for 3D biopsy

Dinggang Shen, Christos Davatzikos, Dinesh Kant Kumar, 2008, Electronic Imaging.

Angular Upsampling in Infant Diffusion MRI Using Neighborhood Matching in x-q Space

Dinggang Shen, Bin Dong, Pew-Thian Yap, 2018, Front. Neuroinform..

A Novel Longitudinal Atlas Construction Framework by Groupwise Registration of Subject Image Sequences

Shu Liao, Dinggang Shen, Guorong Wu, 2011, IPMI.

Visualization of perivascular spaces in the human brain at 7T: sequence optimization and morphology characterization

Dinggang Shen, Sang Hyun Park, Weili Lin, 2016, NeuroImage.

Robust Brain Registration Using Adaptive Probabilistic Atlas

Dinggang Shen, Jaime S. Ide, Rong Chen, 2008, MICCAI.

Revealing Regional Associations of Cortical Folding Alterations with In Utero Ventricular Dilation Using Joint Spectral Embedding

Oualid M. Benkarim, Dinggang Shen, Islem Rekik, 2018, MICCAI.

Cross-Manifold Guidance in Deformable Registration of Brain MR Images

Dinggang Shen, Qian Wang, Jinpeng Zhang, 2016, MIAR.

Statistically-Constrained High-Dimensional Warping Using Wavelet-Based Priors

Dinggang Shen, Christos Davatzikos, Zhong Xue, 2006, 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06).

Automatic Craniomaxillofacial Landmark Digitization via Segmentation-Guided Partially-Joint Regression Forest Model

Yaozong Gao, Dinggang Shen, Jun Zhang, 2015, MICCAI.

Charting Development-Based Joint Parcellation Maps Of Human and Macaque Brains During Infancy

Dinggang Shen, Caiming Zhang, Weili Lin, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

SU‐E‐J‐44: Reconstruction of 4D‐CT from Single Free‐Breathing 3D‐CT for Image Guided Lung Radiotherapy

Dinggang Shen, Guorong Wu, Qian Wang, 2011 .

Temporally-Constrained Group Sparse Learning for Longitudinal Data Analysis

Daoqiang Zhang, Dinggang Shen, Jun Liu, 2012, MICCAI.

Automatic parcellation of cortical surfaces using random forests

Yaozong Gao, Dinggang Shen, Yu Meng, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

A Multi-Tissue Global Estimation Framework for Asymmetric Fiber Orientation Distributions

Dinggang Shen, Pew-Thian Yap, Ye Wu, 2018, MICCAI.

Non-rigid Brain MRI Registration Using Two-stage Deep Perceptive Networks.

Dinggang Shen, Qian Wang, Jianhua Yang, 2018, Proceedings of the International Society for Magnetic Resonance in Medicine ... Scientific Meeting and Exhibition. International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition.

Prediction of Standard-Dose PET Image by Low-Dose PET and MRI Images

Yaozong Gao, Dinggang Shen, Feng Shi, 2014, MLMI.

Prostate Segmentation by Sparse Representation Based Classification

Shu Liao, Yaozong Gao, Dinggang Shen, 2012, MICCAI.

A Markov Random Field Groupwise Registration Framework for Face Recognition

Shu Liao, Dinggang Shen, Albert C. S. Chung, 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Automated Segmentation of 3D US Prostate Images Using Statistical Texture-Based Matching Method

Dinggang Shen, Yiqiang Zhan, 2003, MICCAI.

State-space model with deep learning for functional dynamics estimation in resting-state fMRI

Dinggang Shen, Heung-Il Suk, Chong-Yaw Wee, 2016, NeuroImage.

Multi-channel framelet denoising of diffusion-weighted images

Dinggang Shen, Jian Zhang, Yong Zhang, 2019, PloS one.

Groupwise Registration by Hierarchical Anatomical Correspondence Detection

Dinggang Shen, Qian Wang, Guorong Wu, 2010, MICCAI.

Multi‐task exclusive relationship learning for alzheimer’s disease progression prediction with longitudinal data

Daoqiang Zhang, Dinggang Shen, Mingliang Wang, 2019, Medical Image Anal..

Automatic Prostate MR Image Segmentation with Sparse Label Propagation and Domain-Specific Manifold Regularization

Yinghuan Shi, Shu Liao, Yaozong Gao, 2013, IPMI.

Robust multi-atlas label propagation by deep sparse representation

Daoqiang Zhang, Dinggang Shen, Chen Zu, 2017, Pattern Recognit..

Joint prediction of longitudinal development of cortical surfaces and white matter fibers from neonatal MRI

Dinggang Shen, Islem Rekik, Pew-Thian Yap, 2017, NeuroImage.

Machine learning in medical imaging.

Daoqiang Zhang, Dinggang Shen, Kenji Suzuki, 2015, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.

Structural Connectivity Guided Sparse Effective Connectivity for MCI Identification

Dinggang Shen, Ke Li, Yang Li, 2017, MLMI@MICCAI.

Semi-Supervised Multimodal Relevance Vector Regression Improves Cognitive Performance Estimation from Imaging and Biological Biomarkers

Daoqiang Zhang, Dinggang Shen, Bo Cheng, 2013, Neuroinformatics.

Voxel Deconvolutional Networks for 3D Brain Image Labeling

Dinggang Shen, Shuiwang Ji, Min Shi, 2018, KDD.

Spatial-Temporal Constraint for Segmentation of Serial Infant Brain MR Images

Dinggang Shen, John H. Gilmore, Feng Shi, 2010, MIAR.

Automated morphometric study of brain variation in XXY males

Dinggang Shen, Christos Davatzikos, Jay N. Giedd, 2004, NeuroImage.

Spatial Warping of DWI Data Using Sparse Representation

Dinggang Shen, Pew-Thian Yap, 2012, MICCAI.

Dinggang Shen, Pew-Thian Yap, Zhenyu Tang, 2019, IEEE Transactions on Biomedical Engineering.

A computational method for longitudinal mapping of orientation-specific expansion of cortical surface area in infants

Dinggang Shen, Caiming Zhang, Yu Meng, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Scalable High Performance Image Registration Framework by Unsupervised Deep Feature Representations Learning

Dinggang Shen, Guorong Wu, Minjeong Kim, 2017, Deep Learning for Medical Image Analysis.

Simulating deformations of MR brain images for validation of atlas-based segmentation and registration algorithms

Dinggang Shen, Christos Davatzikos, David A. Rottenberg, 2006, NeuroImage.

A General Fast Registration Framework by Learning Deformation–Appearance Correlation

Dinggang Shen, Guorong Wu, Pew-Thian Yap, 2012, IEEE Transactions on Image Processing.

Robust Deep Learning for Improved Classification of AD/MCI Patients

Dinggang Shen, Jiang Li, Feng Li, 2014, MLMI.

In Vivo MRI Based Prostate Cancer Identification with Random Forests and Auto-context Model

Dinggang Shen, Li Wang, Chunjun Qian, 2014, MLMI.

Sex differences in grey matter atrophy patterns among AD and aMCI patients: Results from ADNI

Dinggang Shen, Wei Gao, Yaping Wang, 2011, NeuroImage.

Automatic Hippocampal Subfield Segmentation from 3T Multi-modality Images

Yaozong Gao, Dinggang Shen, Feng Shi, 2016, MLMI@MICCAI.

Online Discriminative Multi-atlas Learning for Isointense Infant Brain Segmentation

Dinggang Shen, Heung-Il Suk, Li Wang, 2014, MLMI.

LINKS: Learning-based multi-source IntegratioN frameworK for Segmentation of infant brain images

Yaozong Gao, Dinggang Shen, John H. Gilmore, 2014, NeuroImage.

A General Learning Framework for Non-rigid Image Registration

Dinggang Shen, Guorong Wu, Feihu Qi, 2006, MIAR.

Craniomaxillofacial Deformity Correction via Sparse Representation in Coherent Space

Dinggang Shen, Jun Zhang, Li Wang, 2015, MLMI.

Automated Segmentation of Mouse Brain Images Using Multi-Atlas Multi-ROI Deformation and Label Fusion

Dinggang Shen, Jingxin Nie, D. Shen, 2012, Neuroinformatics.

Learning-based 3T brain MRI segmentation with guidance from 7T MRI labeling.

Dinggang Shen, Li Wang, Feng Shi, 2016, Medical physics.

LINKS: Learning-based multi-source IntegratioN frameworK for Segmentation of infant brain images

Yaozong Gao, Dinggang Shen, John H. Gilmore, 2015, NeuroImage.

Learning longitudinal classification-regression model for infant hippocampus segmentation

Dinggang Shen, Zhengwang Wu, Yanrong Guo, 2020, Neurocomputing.

Inter-modality Relationship Constrained Multi-Task Feature Selection for AD/MCI Classification

Dinggang Shen, Feng Liu, Chong-Yaw Wee, 2013, MICCAI.

Unsupervised Deep Feature Learning for Deformable Registration of MR Brain Images

Shu Liao, Yaozong Gao, Dinggang Shen, 2013, MICCAI.

Decoding EEG by Visual-guided Deep Neural Networks

Dinggang Shen, Xin Li, Han Zhang, 2019, IJCAI.

Conversion and time‐to‐conversion predictions of mild cognitive impairment using low‐rank affinity pursuit denoising and matrix completion

Dinggang Shen, Ehsan Adeli, Kim-Han Thung, 2018, Medical Image Anal..

Constructing Multi-frequency High-Order Functional Connectivity Network for Diagnosis of Mild Cognitive Impairment

Dinggang Shen, Yu Zhang, Xiaobo Chen, 2017, CNI@MICCAI.

Hierarchical Patch-Based Sparse Representation—A New Approach for Resolution Enhancement of 4D-CT Lung Data

Dinggang Shen, Yu Zhang, Qianjin Feng, 2012, IEEE Transactions on Medical Imaging.

A Feature-Based Learning Framework for Accurate Prostate Localization in CT Images

Shu Liao, Dinggang Shen, D. Shen, 2012, IEEE Transactions on Image Processing.

Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation

Dinggang Shen, Jing Yuan, Li Wang, 2017, Comput. Medical Imaging Graph..

Fast Neuroimaging-Based Retrieval for Alzheimer's Disease Analysis

Dinggang Shen, Xiaofeng Zhu, Jun Zhang, 2016, MLMI@MICCAI.

A Hybrid Multishape Learning Framework for Longitudinal Prediction of Cortical Surfaces and Fiber Tracts Using Neonatal Data

Dinggang Shen, Islem Rekik, Pew-Thian Yap, 2016, MICCAI.

Subject-Specific Estimation of Missing Cortical Thickness Maps in Developing Infant Brains

Yaozong Gao, Dinggang Shen, John H. Gilmore, 2015, MCV@MICCAI.

Learning-based prostate localization for image guided radiation therapy

Wei Li, Shu Liao, Dinggang Shen, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Improving Functional MRI Registration Using Whole-Brain Functional Correlation Tensors

Dinggang Shen, Qianjin Feng, Han Zhang, 2017, MICCAI.

Identification of MCI Using Optimal Sparse MAR Modeled Effective Connectivity Networks

Dinggang Shen, Yang Li, Chong-Yaw Wee, 2013, MICCAI.

Graph-guided joint prediction of class label and clinical scores for the Alzheimer’s disease

Dinggang Shen, Guan Yu, Yufeng Liu, 2015, Brain Structure and Function.

Optimized prostate biopsy via a statistical atlas of cancer spatial distribution

Dinggang Shen, Wei Zhang, Gabor Fichtinger, 2004, Medical Image Anal..

Construction of multi-region-multi-reference atlases for neonatal brain MRI segmentation

Dinggang Shen, John H. Gilmore, Yong Fan, 2010, NeuroImage.

Discriminative Group Sparse Representation for Mild Cognitive Impairment Classification

Dinggang Shen, Heung-Il Suk, Chong-Yaw Wee, 2013, MLMI.

Segmentation of neonatal brain MR images using patch-driven level sets

Yaozong Gao, Dinggang Shen, John H. Gilmore, 2014, NeuroImage.

Automatic Cystocele Severity Grading in Ultrasound by Spatio-Temporal Regression

Yaozong Gao, Dinggang Shen, Bai Ying Lei, 2016, MICCAI.

Prediction of Memory Impairment with MRI Data: A Longitudinal Study of Alzheimer's Disease

Dinggang Shen, Heng Huang, Xiaoqian Wang, 2016, MICCAI.

Inherent Structure-Based Multiview Learning With Multitemplate Feature Representation for Alzheimer's Disease Diagnosis

Daoqiang Zhang, Dinggang Shen, Ehsan Adeli, 2016, IEEE Transactions on Biomedical Engineering.

Brain-Wide Genome-Wide Association Study for Alzheimer's Disease via Joint Projection Learning and Sparse Regression Model

Dinggang Shen, Kim-Han Thung, Mingxia Liu, 2019, IEEE Transactions on Biomedical Engineering.

Automatic Segmentation of Brain Tissues for Newborn MRI in Longitudinal Study

Dinggang Shen, Martin Styner, John H. Gilmore, 2009 .

Robust Anatomical Correspondence Detection by Hierarchical Sparse Graph Matching

Dinggang Shen, Yanrong Guo, Jianguo Jiang, 2013, IEEE Transactions on Medical Imaging.

F-TIMER: Fast Tensor Image Morphing for Elastic Registration

Dinggang Shen, Hongtu Zhu, Guorong Wu, 2010, IEEE Transactions on Medical Imaging.

A deformable template model based on fuzzy alignment algorithm

Dinggang Shen, Eam Khwang Teoh, Zhong Xue, 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).

Real-Time Quality Assessment of Pediatric MRI via Semi-Supervised Deep Nonlocal Residual Neural Networks

Dinggang Shen, Siyuan Liu, Kim-Han Thung, 2019, IEEE Transactions on Image Processing.

Directed Graph Based Image Registration

Dinggang Shen, Yaping Wang, Qian Wang, 2011, MLMI.

Measuring longitudinally dynamic cortex development in infants by reconstruction of consistent cortical surfaces

Dinggang Shen, John H. Gilmore, Li Wang, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Motion-guided resolution enhancement for Lung 4D-CT

Dinggang Shen, Guorong Wu, Arnav Bhavsar, 2014, 2014 13th International Conference on Control Automation Robotics & Vision (ICARCV).

Learning-Based Multimodal Image Registration for Prostate Cancer Radiation Therapy

Yaozong Gao, Dinggang Shen, Jianhua Yang, 2016, MICCAI.

Alzheimer's Disease Diagnosis Using Landmark-Based Features From Longitudinal Structural MR Images

Yaozong Gao, Dinggang Shen, Jun Zhang, 2017, IEEE Journal of Biomedical and Health Informatics.

CT male pelvic organ segmentation using fully convolutional networks with boundary sensitive representation

Yaozong Gao, Dinggang Shen, Shuai Wang, 2019, Medical Image Anal..

Anatomical Landmark Based Deep Feature Representation for MR Images in Brain Disease Diagnosis

Dinggang Shen, Jun Zhang, Mingxia Liu, 2018, IEEE Journal of Biomedical and Health Informatics.

Do Baby Brain Cortices that Look Alike at Birth Grow Alike During the First Year of Postnatal Development?

Dinggang Shen, Islem Rekik, Weili Lin, 2018, MICCAI.

Multi-stage Diagnosis of Alzheimer's Disease with Incomplete Multimodal Data via Multi-task Deep Learning

Dinggang Shen, Kim-Han Thung, Pew-Thian Yap, 2017, DLMIA/ML-CDS@MICCAI.

Large Deformation Diffeomorphic Registration of Diffusion-Weighted Images with Explicit Orientation Optimization

Dinggang Shen, Marc Niethammer, Pew-Thian Yap, 2013, MICCAI.

Non-local Atlas-guided Multi-channel Forest Learning for Human Brain Labeling

Yaozong Gao, Dinggang Shen, Ligang Wu, 2015, MICCAI.

Hippocampal Segmentation From Longitudinal Infant Brain MR Images via Classification-Guided Boundary Regression

Yaozong Gao, Dinggang Shen, Qian Wang, 2019, IEEE Access.

Automated segmentation of dental CBCT image with prior-guided sequential random forests.

Yaozong Gao, Dinggang Shen, Li Wang, 2015, Medical physics.

Feature‐based groupwise registration by hierarchical anatomical correspondence detection

Dinggang Shen, Qian Wang, Guorong Wu, 2012, Human brain mapping.

Scalable joint segmentation and registration framework for infant brain images

Dinggang Shen, Guorong Wu, Li Wang, 2017, Neurocomputing.

Reconstruction of 4D-CT from a Single Free-Breathing 3D-CT by Spatial-Temporal Image Registration

Dinggang Shen, Qian Wang, Guorong Wu, 2011, IPMI.

Constraint relationship for reflectional symmetry and rotational symmetry

Dinggang Shen, Eam Khwang Teoh, Horace Ho-Shing Ip, 2001, J. Electronic Imaging.

Structured Sparse Low-Rank Regression Model for Brain-Wide and Genome-Wide Associations

Dinggang Shen, Heng Huang, Xiaofeng Zhu, 2016, MICCAI.

Inherent Structure-Guided Multi-view Learning for Alzheimer's Disease and Mild Cognitive Impairment Classification

Daoqiang Zhang, Dinggang Shen, Mingxia Liu, 2015, MLMI.

Machine Learning in Medical Imaging

Dinggang Shen, Kenji Suzuki, Pingkun Yan, 2012, Int. J. Biomed. Imaging.

Joint Sparse and Low-Rank Regularized Multi-Task Multi-Linear Regression for Prediction of Infant Brain Development with Incomplete Data

Dinggang Shen, Yu Meng, Ehsan Adeli, 2017, MICCAI.

3D conditional generative adversarial networks for high-quality PET image estimation at low dose

Dinggang Shen, Lei Wang, Yan Wang, 2018, NeuroImage.

Hierarchical Fully Convolutional Network for Joint Atrophy Localization and Alzheimer's Disease Diagnosis Using Structural MRI

Dinggang Shen, Jun Zhang, Chunfeng Lian, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Early Diagnosis of Autism Disease by Multi-channel CNNs

Dinggang Shen, Li Wang, Mingxia Liu, 2018, MLMI@MICCAI.

Spherical U-Net on Cortical Surfaces: Methods and Applications

Dinggang Shen, John H. Gilmore, Gang Li, 2019, IPMI.

Hierarchical unbiased graph shrinkage (HUGS): A novel groupwise registration for large data set

Dinggang Shen, Shihui Ying, Qian Wang, 2014, NeuroImage.

Registration-Free Infant Cortical Surface Parcellation Using Deep Convolutional Neural Networks

Dinggang Shen, John H. Gilmore, Li Wang, 2018, MICCAI.

TIMER: Tensor Image Morphing for Elastic Registration

Dinggang Shen, Hongtu Zhu, Guorong Wu, 2009, NeuroImage.

MO‐FF‐A3‐02: In‐Vivo Correspondence Validation of a Deformable Image Registration Method

Dinggang Shen, Jun Lian, Sha Chang, 2009 .

3-D statistical cancer atlas-based targeting of prostate biopsy using ultrasound image guidance

Dinggang Shen, Christos Davatzikos, Dinesh Kant Kumar, 2008, SPIE Medical Imaging.

GLIRT: Groupwise and Longitudinal Image Registration Toolbox

Dinggang Shen, Qian Wang, Guorong Wu, 2011 .

Deformable segmentation of 3D MR prostate images via distributed discriminative dictionary and ensemble learning.

Yaozong Gao, Dinggang Shen, Yanrong Guo, 2014, Medical physics.

Computational neuroanatomy of baby brains: A review

Dinggang Shen, Yu Meng, Li Wang, 2019, NeuroImage.

Brain Network Construction and Classification Toolbox (BrainNetClass) pdf

Dinggang Shen, Gang Pan, Han Zhang, 2019, ArXiv.

Automatic hippocampus segmentation of 7.0Tesla MR images by combining multiple atlases and auto-context models

Wei Li, Dinggang Shen, Guorong Wu, 2013, NeuroImage.

Groupwise Registration via Graph Shrinkage on the Image Manifold

Dinggang Shen, Shihui Ying, Qian Wang, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Population-Guided Large Margin Classifier for High-Dimension Low -Sample-Size Problems

Dinggang Shen, Ehsan Adeli, Qingbo Yin, 2019, Pattern Recognit..

Composite large margin classifiers with latent subclasses for heterogeneous biomedical data

Dinggang Shen, Michael R. Kosorok, Yufeng Liu, 2016, Stat. Anal. Data Min..

Image-Guided Radiotherapy with Machine Learning

Yinghuan Shi, Shu Liao, Yaozong Gao, 2015 .

Multi-task feature selection via supervised canonical graph matching for diagnosis of autism spectrum disorder

Dinggang Shen, Xiaoying Tang, Pew-Thian Yap, 2015, Brain Imaging and Behavior.

Robust detection of skewed symmetries by combining local and semi-local affine invariants

Dinggang Shen, Eam Khwang Teoh, Horace Ho-Shing Ip, 2001, Pattern Recognit..

Hierarchical High-Order Functional Connectivity Networks and Selective Feature Fusion for MCI Classification

Dinggang Shen, Xiaobo Chen, Han Zhang, 2017, Neuroinformatics.

Harnessing Group-Sparsity Regularization for Resolution Enhancement of Lung 4D-CT

Dinggang Shen, Guorong Wu, Arnav Bhavsar, 2013, MICCAI.

Resolution Enhancement of Diffusion-Weighted Images by Local Fiber Profiling

Dinggang Shen, Pew-Thian Yap, 2012, MICCAI.

Rabbit: Rapid Alignment of Brains by Building Intermediate Templates

Dinggang Shen, Guorong Wu, Yong Fan, 2022 .

Benchmark on Automatic Six-Month-Old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge

Gang Li, Dinggang Shen, Guoyan Zheng, 2019, IEEE Transactions on Medical Imaging.

A Statistical Atlas of Prostate Cancer for Optimal Biopsy

Dinggang Shen, Gabor Fichtinger, Christos Davatzikos, 2001, MICCAI.

aBEAT: A Toolbox for Consistent Analysis of Longitudinal Adult Brain MRI

Dinggang Shen, Guorong Wu, Feng Shi, 2013, PloS one.

Hierarchical Shape Statistical Model for Segmentation of Lung Fields in Chest Radiographs

Dinggang Shen, Yonghong Shi, D. Shen, 2008, MICCAI.

Automatic Hippocampus Labeling Using the Hierarchy of Sub-region Random Forests

Yaozong Gao, Dinggang Shen, Qian Wang, 2015, Patch-MI@MICCAI.

Predict brain MR image registration via sparse learning of appearance and transformation

Dinggang Shen, Qian Wang, Guorong Wu, 2015, Medical Image Anal..

Learning Statistical Correlation of Prostate Deformations for Fast Registration

Shu Liao, Dinggang Shen, Yonghong Shi, 2011, MLMI.

S‐HAMMER: Hierarchical attribute‐guided, symmetric diffeomorphic registration for MR brain images

Dinggang Shen, Qian Wang, Guorong Wu, 2014, Human brain mapping.

Registration of longitudinal brain image sequences with implicit template and spatial–temporal heuristics

Dinggang Shen, Qian Wang, Guorong Wu, 2012, NeuroImage.

iBEAT: A Toolbox for Infant Brain Magnetic Resonance Image Processing

Dinggang Shen, Guorong Wu, Li Wang, 2012, Neuroinformatics.

Dual Adversarial Learning with Attention Mechanism for Fine-grained Medical Image Synthesis pdf

Dinggang Shen, Qian Wang, Dong Nie, 2019, ArXiv.

Semisupervised Tripled Dictionary Learning for Standard-Dose PET Image Prediction Using Low-Dose PET and Multimodal MRI

Dinggang Shen, Yi-Fei Pu, Feng Shi, 2017, IEEE Transactions on Biomedical Engineering.

Group-wise registration of large image dataset by hierarchical clustering and alignment

Dinggang Shen, Qian Wang, Liya Chen, 2009, Medical Imaging.

Reveal Consistent Spatial-Temporal Patterns from Dynamic Functional Connectivity for Autism Spectrum Disorder Identification

Dinggang Shen, Wei Gao, Xiaofeng Zhu, 2016, MICCAI.

Remodeling Pearson's Correlation for Functional Brain Network Estimation and Autism Spectrum Disorder Identification

Dinggang Shen, Limei Zhang, Lishan Qiao, 2017, Front. Neuroinform..

Soft-Split Random Forest for Anatomy Labeling

Yaozong Gao, Dinggang Shen, Ligang Wu, 2015, MLMI.

Segmentation of perivascular spaces in 7T MR image using auto-context model with orientation-normalized features

Yaozong Gao, Dinggang Shen, Sang Hyun Park, 2016, NeuroImage.

Enhancement of Perivascular Spaces Using a Very Deep 3D Dense Network

Dinggang Shen, Sang Hyun Park, Weili Lin, 2018, PRIME@MICCAI.

A Multi-level Canonical Correlation Analysis Scheme for Standard-Dose PET Image Estimation

Dinggang Shen, Feng Shi, Weili Lin, 2015, Patch-MI@MICCAI.

Infant Brain Development Prediction With Latent Partial Multi-View Representation Learning

Dinggang Shen, Gang Li, Ehsan Adeli, 2019, IEEE Transactions on Medical Imaging.

Tight Graph Framelets for Sparse Diffusion MRI q-Space Representation

Dinggang Shen, Bin Dong, Pew-Thian Yap, 2016, MICCAI.

Construction of 4D high-definition cortical surface atlases of infants: Methods and applications

Dinggang Shen, John H. Gilmore, Li Wang, 2015, Medical Image Anal..

Early Brain Functional Segregation and Integration Predict Later Cognitive Performance

Dinggang Shen, Han Zhang, Weili Lin, 2017, CNI@MICCAI.

A B-snake model using statistical and geometric information-applications to medical images

Dinggang Shen, Eam Khwang Teoh, Yue Wang, 2002, 7th International Conference on Control, Automation, Robotics and Vision, 2002. ICARCV 2002..

Incremental Learning with Selective Memory (ILSM): Towards Fast Prostate Localization for Image Guided Radiotherapy

Yaozong Gao, Dinggang Shen, Yiqiang Zhan, 2013, MICCAI.

Hierarchical Fiber Clustering Based on Multi-Scale Neuroanatomical Features

Dinggang Shen, Qian Wang, Guorong Wu, 2010, MIAR.

4D Segmentation of Longitudinal Brain MR Images with Consistent Cortical Thickness Measurement

Dinggang Shen, Li Wang, Feng Shi, 2012, STIA.

An energy of asymmetry for accurate detection of global reflection axes

Dinggang Shen, Eam Khwang Teoh, Horace Ho-Shing Ip, 2001, Image Vis. Comput..

Cortical Foldingprints for Infant Identification

Dinggang Shen, Weili Lin, Zhengwang Wu, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

Effect of hierarchical deformable motion compensation on image enhancement for DSA acquired via C-ARM

Dinggang Shen, Dinesh Kant Kumar, Jasjit S. Suri, 2008, Electronic Imaging.

4D Multi-Modality Tissue Segmentation of Serial Infant Images

Dinggang Shen, John H. Gilmore, Li Wang, 2012, PloS one.

STATISTICALLY-CONSTRAINED DEFORMABLE REGISTRATION OF MR BRAIN IMAGES

Dinggang Shen, Zhong Xue, 2007, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Fusion of ULS Group Constrained High- and Low-Order Sparse Functional Connectivity Networks for MCI Classification

Dinggang Shen, Yang Li, Jingyu Liu, 2019, Neuroinformatics.

Tree-Guided Sparse Coding for Brain Disease Classification

Daoqiang Zhang, Dinggang Shen, Manhua Liu, 2012, MICCAI.

Hierarchical Lung Field Segmentation With Joint Shape and Appearance Sparse Learning

Yaozong Gao, Dinggang Shen, Xin Yang, 2014, IEEE Transactions on Medical Imaging.

4D Infant Cortical Surface Atlas Construction Using Spherical Patch-Based Sparse Representation

Dinggang Shen, Yu Meng, Li Wang, 2017, MICCAI.

Estimation of Brain Network Atlases Using Diffusive-Shrinking Graphs: Application to Developing Brains

Dinggang Shen, Islem Rekik, Weili Lin, 2017, IPMI.

Constructing 4D Infant Cortical Surface Atlases Based on Dynamic Developmental Trajectories of the Cortex

Dinggang Shen, Li Wang, Feng Shi, 2014, MICCAI.

Segmentation and Classification of Breast Tumor Using Dynamic Contrast-Enhanced MR Images

Dinggang Shen, Yuanjie Zheng, Mitchell D. Schnall, 2007, MICCAI.

Relationship Induced Multi-Template Learning for Diagnosis of Alzheimer’s Disease and Mild Cognitive Impairment

Daoqiang Zhang, Dinggang Shen, Mingxia Liu, 2016, IEEE Transactions on Medical Imaging.

Generalized Affine Invariant Image Normalization

Dinggang Shen, Horace Ho-Shing Ip, Dinggang Shen, 1997, IEEE Trans. Pattern Anal. Mach. Intell..

Neurodegenerative disease diagnosis using incomplete multi-modality data via matrix shrinkage and completion

Dinggang Shen, Kim-Han Thung, Pew-Thian Yap, 2014, NeuroImage.

Structure-adaptive B-snake for segmenting complex objects

Dinggang Shen, Eam Khwang Teoh, Yue Wang, 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).

An adaptive-focus statistical shape model for segmentation and shape modeling of 3-D brain structures

Dinggang Shen, Christos Davatzikos, Edward Herskovits, 2001, IEEE Transactions on Medical Imaging.

Foreground Fisher Vector: Encoding Class-Relevant Foreground to Improve Image Classification

Dinggang Shen, Yong Xia, Yongsheng Pan, 2019, IEEE Transactions on Image Processing.

Sparse Patch-Based Label Fusion for Multi-Atlas Segmentation

Daoqiang Zhang, Dinggang Shen, Guorong Wu, 2012, MBIA.

Morphological classification of medical images using nonlinear support vector machines

Dinggang Shen, Christos Davatzikos, Bilge Karaçali, 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

Development Trends of White Matter Connectivity in the First Years of Life

Dinggang Shen, John H. Gilmore, Yong Fan, 2011, PloS one.

Enhancing the representation of functional connectivity networks by fusing multi‐view information for autism spectrum disorder diagnosis

Dinggang Shen, Chong-Yaw Wee, Seong-Whan Lee, 2018, Human brain mapping.

Information Processing in Medical Imaging

Dinggang Shen, Martin Styner, Hongtu Zhu, 2017, Lecture Notes in Computer Science.

Sparsity-Learning-Based Longitudinal MR Image Registration for Early Brain Development

Dinggang Shen, Pengfei Shi, Qian Wang, 2014, MLMI.

Construction of Neonatal Diffusion Atlases via Spatio-Angular Consistency

Dinggang Shen, Feng Shi, Pew-Thian Yap, 2016, Patch-MI@MICCAI.

Segmentation of Organs at Risk in thoracic CT images using a SharpMask architecture and Conditional Random Fields

Dinggang Shen, Su Ruan, Caroline Petitjean, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

Brain Functional Networks in the Developing Brain Using Resting BOLD

Dinggang Shen, John H. Gilmore, Weili Lin, 2014 .

Inter-group image registration by hierarchical graph shrinkage

Shu Liao, Dinggang Shen, Shihui Ying, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Hyper-connectivity of functional networks for brain disease diagnosis

Daoqiang Zhang, Dinggang Shen, Chong-Yaw Wee, 2016, Medical Image Anal..

Segmenting hippocampal subfields from 3T MRI with multi‐modality images

Yaozong Gao, Dinggang Shen, Feng Shi, 2018, Medical Image Anal..

The Alzheimer's Disease Neuroimaging Initiative: Consistent 4D Cortical Thickness Measurement for Longitudinal Neuroimaging Study

Dinggang Shen, Yaping Wang, Feng Shi, 2010, MICCAI.

Contour Knowledge Transfer for Salient Object Detection

Dinggang Shen, Wei Liu, Fan Yang, 2018, ECCV.

Non-negative Spherical Deconvolution (NNSD) for Fiber Orientation Distribution Function Estimation

Rachid Deriche, Dinggang Shen, Jian Cheng, 2013, CDMRI/MMBC@MICCAI.

Joint Reconstruction and Segmentation of 7T-like MR Images from 3T MRI Based on Cascaded Convolutional Neural Networks

Dinggang Shen, Feng Shi, Islem Rekik, 2017, MICCAI.

Diagnosis of Brain Abnormality Using both Structural and Functional MR Images

Dinggang Shen, Christos Davatzikos, Jiongjiong Wang, 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

Estimating the 4D Respiratory Lung Motion by Spatiotemporal Registration and Building Super-Resolution Image

Dinggang Shen, Qian Wang, Guorong Wu, 2011, MICCAI.

Robust brain ROI segmentation by deformation regression and deformable shape model

Yaozong Gao, Dinggang Shen, Sang Hyun Park, 2018, Medical Image Anal..

Consistent sulcal parcellation of longitudinal cortical surfaces

Dinggang Shen, Gang Li, Gang Li, 2011, NeuroImage.

A Novel Deep Learning Framework on Brain Functional Networks for Early MCI Diagnosis

Dinggang Shen, Han Zhang, Tae-Eui Kam, 2018, MICCAI.

An Adaptive-Focus Deformable Model Using Statistical and Geometric Information

Dinggang Shen, Christos Davatzikos, D. Shen, 2000, IEEE Trans. Pattern Anal. Mach. Intell..

Improve brain registration using machine learning methods

Dinggang Shen, Guorong Wu, Feihu Qi, 2006, 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006..

Test-Retest Reliability of “High-Order” Functional Connectivity in Young Healthy Adults

Dinggang Shen, Xiaobo Chen, Han Zhang, 2017, Front. Neurosci..

Automatic and reliable segmentation of spinal canals in low-resolution, low-contrast CT images

Dinggang Shen, Le Lu, Dijia Wu, 2014 .

Deep Modeling of Growth Trajectories for Longitudinal Prediction of Missing Infant Cortical Surfaces pdf

Dinggang Shen, Gang Li, Pew-Thian Yap, 2019, IPMI.

Simulation of Brain Mass Effect with an Arbitrary Lagrangian and Eulerian FEM

Dinggang Shen, Hongtu Zhu, Weili Lin, 2010, MICCAI.

A new statistically-constrained deformable registration framework for MR brain images

Dinggang Shen, Zhong Xue, 2009, Int. J. Medical Eng. Informatics.

Construction of 4D Neonatal Cortical Surface Atlases Using Wasserstein Distance

Dinggang Shen, Weili Lin, Zhengwang Wu, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

MultiCost: Multi-stage Cost-sensitive Classification of Alzheimer's Disease

Daoqiang Zhang, Dinggang Shen, Daoqiang Zhang, 2011, MLMI.

Improving Sparsity and Modularity of High-Order Functional Connectivity Networks for MCI and ASD Identification

Dinggang Shen, Lishan Qiao, Yueying Zhou, 2018, Front. Neurosci..

Semi-Automatic Segmentation of Prostate in CT Images via Coupled Feature Representation and Spatial-Constrained Transductive Lasso

Yinghuan Shi, Shu Liao, Yaozong Gao, 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Integrative analysis of multi-dimensional imaging genomics data for Alzheimer's disease prediction

Dinggang Shen, Heng Huang, Ziming Zhang, 2014, Front. Aging Neurosci..

High-Resolution Encoder–Decoder Networks for Low-Contrast Medical Image Segmentation

Dinggang Shen, Jianping Yin, Ehsan Adeli, 2020, IEEE Transactions on Image Processing.

Sparse Multivariate Autoregressive Modeling for Mild Cognitive Impairment Classification

Dinggang Shen, Yang Li, Chong-Yaw Wee, 2014, Neuroinformatics.

Multi-layer Large-Scale Functional Connectome Reveals Infant Brain Developmental Patterns

Dinggang Shen, Han Zhang, Weili Lin, 2018, MICCAI.

Identification of Alzheimer's Disease Using Incomplete Multimodal Dataset via Matrix Shrinkage and Completion

Dinggang Shen, Kim-Han Thung, Pew-Thian Yap, 2013, MLMI.

MRI based attenuation correction for PET/MRI via MRF segmentation and sparse regression estimated CT

Dinggang Shen, Yi Su, Weili Lin, 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).

Spatiotemporal Analysis of Developing Brain Networks

Dinggang Shen, Han Zhang, Xiaohua Xu, 2018, Front. Neuroinform..

Hierarchical Attribute-Guided Symmetric Diffeomorphic Registration for MR Brain Images

Dinggang Shen, Qian Wang, Guorong Wu, 2012, MICCAI.

Hierarchical Label Fusion with Multiscale Feature Representation and Label-Specific Patch Partition

Dinggang Shen, Guorong Wu, D. Shen, 2014, MICCAI.

Joint Discriminative and Representative Feature Selection for Alzheimer's Disease Diagnosis

Dinggang Shen, Xiaofeng Zhu, Heung-Il Suk, 2016, MLMI@MICCAI.

Sparse temporally dynamic resting-state functional connectivity networks for early MCI identification

Dinggang Shen, Pew-Thian Yap, Chong-Yaw Wee, 2016, Brain Imaging and Behavior.

Hierarchical alignment of breast DCE-MR images by groupwise registration and robust feature matching.

Dinggang Shen, Guorong Wu, Minjeong Kim, 2011, Medical physics.

Ensemble Hierarchical High-Order Functional Connectivity Networks for MCI Classification

Dinggang Shen, Xiaobo Chen, Han Zhang, 2016, MICCAI.

SIMULTANEOUS ESTIMATION AND SEGMENTATION OF T1 MAP FOR BREAST PARENCHYMA MEASUREMENT

Dinggang Shen, Mitchell D. Schnall, Yangming Ou, 2007, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Guest Editorial Skin Lesion Image Analysis for Melanoma Detection

Dinggang Shen, M. Emre Celebi, Noel Codella, 2019, IEEE J. Biomed. Health Informatics.

Efficient Groupwise Registration for Brain MRI by Fast Initialization

Dinggang Shen, Jun Zhang, Guorong Wu, 2017, MLMI@MICCAI.

Automatic Craniomaxillofacial Landmark Digitization via Segmentation-Guided Partially-Joint Regression Forest Model and Multiscale Statistical Features

Yaozong Gao, Dinggang Shen, Jun Zhang, 2016, IEEE Transactions on Biomedical Engineering.

Machine learning in medical imaging

Dinggang Shen, Guorong Wu, Fei Wang, 2015, Comput. Medical Imaging Graph..

Synthesis and Inpainting-Based MR-CT Registration for Image-Guided Thermal Ablation of Liver Tumors pdf

Dinggang Shen, Qian Wang, Pew-Thian Yap, 2019, MICCAI.

Joint Segmentation and Registration for Infant Brain Images

Dinggang Shen, John H. Gilmore, Guorong Wu, 2014, MCV.

A dynamic tree-based registration could handle possible large deformations among MR brain images

Yaozong Gao, Dinggang Shen, Guorong Wu, 2016, Comput. Medical Imaging Graph..

Consistent reconstruction of cortical surfaces from longitudinal brain MR images

Dinggang Shen, Yaping Wang, Guorong Wu, 2012, NeuroImage.

Motion Correction Strategies for Interventional Angiography Images: A Comparative Approach

Dinggang Shen, Jasjit S. Suri, Liyang Wei, 2007, 2007 IEEE International Conference on Image Processing.

Reconstruction of 7T-Like Images From 3T MRI

Dinggang Shen, Feng Shi, Xiaopeng Zong, 2016, IEEE Transactions on Medical Imaging.

Estimation of shape and growth brain network atlases for connectomic brain mapping in developing infants

Dinggang Shen, Islem Rekik, Weili Lin, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Dual-domain convolutional neural networks for improving structural information in 3 T MRI.

Dinggang Shen, Pew-Thian Yap, Yongqin Zhang, 2019, Magnetic resonance imaging.

Identifying Informative Imaging Biomarkers via Tree Structured Sparse Learning for AD Diagnosis

Daoqiang Zhang, Dinggang Shen, Manhua Liu, 2013, Neuroinformatics.

Multimodal manifold-regularized transfer learning for MCI conversion prediction

Daoqiang Zhang, Dinggang Shen, Bo Cheng, 2013, Brain Imaging and Behavior.

Multiple Atlases-Based Joint Labeling of Human Cortical Sulcal Curves

Dinggang Shen, Ilwoo Lyu, Gang Li, 2012, MCV.

Progressive Graph-Based Transductive Learning for Multi-modal Classification of Brain Disorder Disease

Dinggang Shen, Feiping Nie, Xiaofeng Zhu, 2016, MICCAI.

Segmenting Lung Fields in Serial Chest Radiographs Using Both Population-Based and Patient-Specific Shape Statistics

Dinggang Shen, Zhong Xue, Kyoko Ito, 2008, IEEE Transactions on Medical Imaging.

Multi-modality Canonical Feature Selection for Alzheimer's Disease Diagnosis

Dinggang Shen, Xiaofeng Zhu, Heung-Il Suk, 2014, MICCAI.

Quantification of relaxation times in MR Fingerprinting using deep learning.

Dinggang Shen, Weili Lin, Zhenghan Fang, 2017, Proceedings of the International Society for Magnetic Resonance in Medicine ... Scientific Meeting and Exhibition. International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition.

CLASSIC: Consistent Longitudinal Alignment and Segmentation for Serial Image Computing

Dinggang Shen, Christos Davatzikos, Zhong Xue, 2005, IPMI.

A Statistical Framework for Inter-Group Image Registration

Shu Liao, Dinggang Shen, Guorong Wu, 2012, Neuroinformatics.

Medical Imaging and Augmented Reality: Third International WorkshopShanghai, China, August 17-18, 2006Proceedings (Lecture Notes in Computer Science)

Dinggang Shen, Tianzi Jiang, Guang-Zhong Yang, 2007 .

Automatic Segmentation of Hippocampus for Longitudinal Infant Brain MR Image Sequence by Spatial-Temporal Hypergraph Learning

Dinggang Shen, Yanrong Guo, Guorong Wu, 2016, Patch-MI@MICCAI.

MR prostate segmentation via distributed discriminative dictionary (DDD) learning

Yaozong Gao, Dinggang Shen, Yanrong Guo, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Learning-based deformable registration of MR brain images

Dinggang Shen, Guorong Wu, Feihu Qi, 2006, IEEE Transactions on Medical Imaging.

Joint Robust Imputation and Classification for Early Dementia Detection Using Incomplete Multi-modality Data

Dinggang Shen, Kim-Han Thung, Pew-Thian Yap, 2018, PRIME@MICCAI.

Cerebellum Tissue Segmentation with Ensemble Sparse Learning.

Dinggang Shen, Li Wang, Jiawei Chen, 2017, Proceedings of the International Society for Magnetic Resonance in Medicine ... Scientific Meeting and Exhibition. International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition.

4D image warping for measurement of longitudinal brain changes

Dinggang Shen, D. Shen, 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

Group Sparsity Constrained Automatic Brain Label Propagation

Shu Liao, Daoqiang Zhang, Dinggang Shen, 2012, MLMI.

7T-Guided Learning Framework for Improving the Segmentation of 3T MR Images

Yaozong Gao, Dinggang Shen, Feng Shi, 2016, MICCAI.

Detecting Cognitive States from fMRI Images by Machine Learning and Multivariate Classification

Dinggang Shen, Christos Davatzikos, Yong Fan, 2006, 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06).

Multi-Channel 3D Deep Feature Learning for Survival Time Prediction of Brain Tumor Patients Using Multi-Modal Neuroimages

Dinggang Shen, Ehsan Adeli, Qian Wang, 2019, Scientific Reports.

Image Super-Resolution by Supervised Adaption of Patchwise Self-similarity from High-Resolution Image

Dinggang Shen, Xiaofeng Zhu, Qian Wang, 2015, Patch-MI@MICCAI.

Spatial distribution and longitudinal development of deep cortical sulcal landmarks in infants

Dinggang Shen, John H. Gilmore, Yu Meng, 2014, NeuroImage.

Hippocampus Segmentation from MR Infant Brain Images via Boundary Regression

Yaozong Gao, Dinggang Shen, Xin Yang, 2015, MCV@MICCAI.

Brain tissue segmentation of neonatal MR images using a longitudinal subject-specific probabilistic atlas

Dinggang Shen, John H. Gilmore, Yong Fan, 2009, Medical Imaging.

Automatic cystocele severity grading in transperineal ultrasound by random forest regression

Dinggang Shen, Min Wu, Dong Ni, 2017, Pattern Recognit..

Progressive Label Fusion Framework for Multi-atlas Segmentation by Dictionary Evolution

Dinggang Shen, Chunming Li, Guorong Wu, 2015, MICCAI.

BIRNet: Brain image registration using dual‐supervised fully convolutional networks

Dinggang Shen, Xiaohuan Cao, Pew-Thian Yap, 2018, Medical Image Anal..

Fine-Granularity Functional Interaction Signatures for Characterization of Brain Conditions

Dinggang Shen, Xintao Hu, Dajiang Zhu, 2013, Neuroinformatics.

Hierarchical and symmetric infant image registration by robust longitudinal-example-guided correspondence detection.

Dinggang Shen, Qian Wang, Qianjin Feng, 2015, Medical physics.

Developmental Patterns Based Individualized Parcellation of Infant Cortical Surface

Dinggang Shen, Li Wang, Weili Lin, 2017, MICCAI.

Sparse Patch-Guided Deformation Estimation for Improved Image Registration

Dinggang Shen, Guorong Wu, Minjeong Kim, 2012, MLMI.

Identifying High Order Brain Connectome Biomarkers via Learning on Hypergraph

Daoqiang Zhang, Dinggang Shen, Yue Gao, 2016, MLMI@MICCAI.

Multiscale adaptive regression models for neuroimaging data

Dinggang Shen, Hongtu Zhu, Joseph G Ibrahim, 2011, Journal of the Royal Statistical Society. Series B, Statistical methodology.

A transversal approach for patch-based label fusion via matrix completion

Yaozong Gao, Dinggang Shen, Yanrong Guo, 2015, Medical Image Anal..

Synthesizing Missing PET from MRI with Cycle-consistent Generative Adversarial Networks for Alzheimer's Disease Diagnosis

Dinggang Shen, Chunfeng Lian, Mingxia Liu, 2018, MICCAI.

Segmentation of Infant Hippocampus Using Common Feature Representations Learned for Multimodal Longitudinal Data

Dinggang Shen, Yanrong Guo, Guorong Wu, 2015, MICCAI.

HAMMER: hierarchical attribute matching mechanism for elastic registration

Dinggang Shen, Christos Davatzikos, 2001, Proceedings IEEE Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA 2001).

Discriminative Brain Effective Connectivity Analysis for Alzheimer's Disease: A Kernel Learning Approach upon Sparse Gaussian Bayesian Network

Dinggang Shen, Lei Wang, Philip Ogunbona, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Multimodal hyper‐connectivity of functional networks using functionally‐weighted LASSO for MCI classification

Dinggang Shen, Yang Li, Pew-Thian Yap, 2019, Medical Image Anal..

Neighborhood Matching for Curved Domains with Application to Denoising in Diffusion MRI

Dinggang Shen, Bin Dong, Pew-Thian Yap, 2017, MICCAI.

Learning-Based 3T Brain MRI Segmentation with Guidance from 7T MRI Labeling

Dinggang Shen, Zhihui Wei, Li Wang, 2016, MLMI@MICCAI.

Cognitive Assessment Prediction in Alzheimer’s Disease by Multi-Layer Multi-Target Regression

Dinggang Shen, Heng Huang, Xiantong Zhen, 2018, Neuroinformatics.

A computational method for longitudinal mapping of orientation‐specific expansion of cortical surface in infants

Dinggang Shen, Li Wang, Caiming Zhang, 2018, Medical Image Anal..

Consistent 4D brain extraction of serial brain MR images

Dinggang Shen, Yaping Wang, Lei Guo, 2013, Medical Imaging.

Reconstruction of super-resolution lung 4D-CT using patch-based sparse representation

Dinggang Shen, Yu Zhang, Qianjin Feng, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Hierarchical Anatomical Brain Networks for MCI Prediction: Revisiting Volumetric Measures

Dinggang Shen, Yaping Wang, Pew-Thian Yap, 2011, PloS one.

Multi-atlas Context Forests for Knee MR Image Segmentation

Yaozong Gao, Dinggang Shen, Qian Wang, 2015, MLMI.

Estimating Anatomically-Correct Reference Model for Craniomaxillofacial Deformity via Sparse Representation

Yaozong Gao, Dinggang Shen, Yi Ren, 2014, MICCAI.

Segmentation of Perivascular Spaces Using Vascular Features and Structured Random Forest from 7T MR Image

Yaozong Gao, Dinggang Shen, Sang Hyun Park, 2016, MLMI@MICCAI.

Accurate and Consistent 4D Segmentation of Serial Infant Brain MR Images

Dinggang Shen, John H. Gilmore, Li Wang, 2011, MBIA.

Asymmetry Spectrum Imaging for Baby Diffusion Tractography

Dinggang Shen, Pew-Thian Yap, Ye Wu, 2019, IPMI.

Connectomics signature for characterizaton of mild cognitive impairment and schizophrenia

Dinggang Shen, Dajiang Zhu, Tianming Liu, 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).

Hierarchical anatomical brain networks for MCI prediction by partial least square analysis

Dinggang Shen, Yaping Wang, Luping Zhou, 2011, CVPR 2011.

Concatenated spatially-localized random forests for hippocampus labeling in adult and infant MR brain images

Yaozong Gao, Dinggang Shen, Qian Wang, 2017, Neurocomputing.

Reconstruction of Fiber Trajectories via Population-Based Estimation of Local Orientations

Dinggang Shen, John H. Gilmore, Pew-Thian Yap, 2011, MICCAI.

Non-diffeomorphic registration of brain tumor images by simulating tissue loss and tumor growth

Dinggang Shen, Christos Davatzikos, Evangelia I. Zacharaki, 2009, NeuroImage.

STEP: SPATIAL-TEMPORAL ENHANCEMENT PATTERN, FOR MR-BASED BREAST TUMOR DIAGNOSIS

Dinggang Shen, Yuanjie Zheng, Mitchell D. Schnall, 2007, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Diffusion Tensor Image Registration Using Tensor Geometry and Orientation Features

Dinggang Shen, Christos Davatzikos, Ragini Verma, 2008, MICCAI.

Fast Tensor Image Morphing for Elastic Registration

Dinggang Shen, Hongtu Zhu, Guorong Wu, 2009, MICCAI.

Deep Multi-task Multi-channel Learning for Joint Classification and Regression of Brain Status

Dinggang Shen, Jun Zhang, Ehsan Adeli, 2017, MICCAI.

Global Deep Learning Methods for Multimodality Isointense Infant Brain Image Segmentation pdf

Dinggang Shen, Zhengyang Wang, Shuiwang Ji, 2018, ArXiv.

Brain atlas fusion from high-thickness diagnostic magnetic resonance images by learning-based super-resolution

Dinggang Shen, Qian Wang, Jinpeng Zhang, 2017, Pattern Recognit..

Diffusion Tensor Image Registration with Combined Tract and Tensor Features

Dinggang Shen, Qian Wang, Guorong Wu, 2011, MICCAI.

ORBIT: A Multiresolution Framework for Deformable Registration of Brain Tumor Images

Dinggang Shen, Christos Davatzikos, Evangelia I. Zacharaki, 2008, IEEE Transactions on Medical Imaging.

Embarrassingly Parallel Acceleration of Global Tractography via Dynamic Domain Partitioning

Dinggang Shen, Pew-Thian Yap, Yan Jin, 2016, Front. Neuroinform..

View‐centralized multi‐atlas classification for Alzheimer's disease diagnosis

Daoqiang Zhang, Dinggang Shen, Mingxia Liu, 2015, Human brain mapping.

TIMER: Tensor Image Morphing for Elastic Registration

Dinggang Shen, Hongtu Zhu, Guorong Wu, 2009, CVPR Workshops.

Multimodal Brain Image Analysis: First International Workshop, MBIA 2011, Held in Conjunction with MICCAI 2011, Toronto, Canada, September 18, 2011, ... Vision, Pattern Recognition, and Graphics)

Dinggang Shen, Tianming Liu, Luis Ibanez, 2011 .

Angular Resolution Enhancement of Diffusion MRI Data Using Inter-Subject Information Transfer.

Dinggang Shen, Yafeng Wu, Pew Thian Yap, 2016, Computational diffusion MRI : MICCAI Workshop, Munich, Germany, October 9th, 2015. CDMRI (Workshop).

Moving target location by neighbour-search algorithm

Dinggang Shen, Feihu Qi, Yen Wu, 1994, Proceedings of ICSIPNN '94. International Conference on Speech, Image Processing and Neural Networks.

Automated DNA fiber tracking and measurement

Dinggang Shen, Yaping Wang, Lei Guo, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Simultaneous and consistent labeling of longitudinal dynamic developing cortical surfaces in infants

Dinggang Shen, Li Wang, Feng Shi, 2014, Medical Image Anal..

Prostate Segmentation by Sparse Representation Based Classification

Shu Liao, Yaozong Gao, Dinggang Shen, 2012, MICCAI.

Symmetry Detection by Generalized Complex (GC) Moments: A Close-Form Solution

Dinggang Shen, Eam Khwang Teoh, Horace Ho-Shing Ip, 1999, IEEE Trans. Pattern Anal. Mach. Intell..

Identification of Individuals with MCI via Multimodality Connectivity Networks

Daoqiang Zhang, Dinggang Shen, Lihong Wang, 2011, MICCAI.

journal homepage: www.elsevier.com/locate/ynimg

Dinggang Shen, John H. Gilmore, Li Wang, 2022 .

Very High-Resolution Morphometry Using Mass-Preserving Deformations and HAMMER Elastic Registration

Dinggang Shen, Christos Davatzikos, D. Shen, 2003, NeuroImage.

Estimating clinical variables from brain images using Bayesian regression

Dinggang Shen, Yong Fan, Daniel Kaufer, 2009, Alzheimer's & Dementia.

In vivo MRI based prostate cancer localization with random forests and auto-context model

Yaozong Gao, Dinggang Shen, Li Wang, 2016, Comput. Medical Imaging Graph..

Deep Ensemble Sparse Regression Network for Alzheimer's Disease Diagnosis

Dinggang Shen, Heung-Il Suk, D. Shen, 2016, MLMI@MICCAI.

MARM: Multiscale Adaptive Regression Models for Neuroimaging Data

Dinggang Shen, Hongtu Zhu, Weili Lin, 2009, IPMI.

Diagnosis of Autism Spectrum Disorders Using Temporally Distinct Resting‐State Functional Connectivity Networks

Dinggang Shen, Pew-Thian Yap, Chong-Yaw Wee, 2016, CNS neuroscience & therapeutics.

Multi-task Sparse Classifier for Diagnosis of MCI Conversion to AD with Longitudinal MR Images

Dinggang Shen, Manhua Liu, Heung-Il Suk, 2013, MLMI.

Deep Learning Deformation Initialization for Rapid Groupwise Registration of Inhomogeneous Image Populations

Dinggang Shen, Xiaohuan Cao, Pew-Thian Yap, 2019, Frontiers in Neuroinformatics.

Automatic Segmentation of Neonatal Images Using Convex Optimization and Coupled Level Set Method

Dinggang Shen, John H. Gilmore, Li Wang, 2010, MIAR.

Low-Rank Graph-Regularized Structured Sparse Regression for Identifying Genetic Biomarkers

Dinggang Shen, Heng Huang, Xiaofeng Zhu, 2017, IEEE Transactions on Big Data.

Fine-Grained Segmentation Using Hierarchical Dilated Neural Networks

Yaozong Gao, Dinggang Shen, Jianping Yin, 2018, MICCAI.

A novel theorem on symmetries of 2D images

Dinggang Shen, Eam Khwang Teoh, Horace Ho-Shing Ip, 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

Automated Segmentation of CBCT Image Using Spiral CT Atlases and Convex Optimization

Shu Liao, Yaozong Gao, Dinggang Shen, 2013, MICCAI.

A Novel Lane Model for Lane Boundary Detection

Dinggang Shen, Han Wang, Eam Khwang Teoh, 1998, MVA.

Cortical Surface-Based Construction of Individual Structural Network with Application to Early Brain Development Study

Dinggang Shen, John H. Gilmore, Yu Meng, 2015, MICCAI.

CENTS: Cortical enhanced neonatal tissue segmentation

Dinggang Shen, Feng Shi, Yong Fan, 2011, Human brain mapping.

Functional Brain Network Estimation With Time Series Self-Scrubbing

Dinggang Shen, Lishan Qiao, Weikai Li, 2019, IEEE Journal of Biomedical and Health Informatics.

A Robust Deep Model for Improved Classification of AD/MCI Patients

Dinggang Shen, Jiang Li, Feng Li, 2015, IEEE Journal of Biomedical and Health Informatics.

DTI Smoothing by Hierarchical, Adaptive and Robust Strategy

Dinggang Shen, S. Tang, H. Zhu, 2009 .

Construction of 4D infant cortical surface atlases with sharp folding patterns via spherical patch‐based group‐wise sparse representation

Dinggang Shen, Weili Lin, Zhengwang Wu, 2019, Human brain mapping.

XQ-NLM: Denoising Diffusion MRI Data via x-q Space Non-local Patch Matching

Dinggang Shen, Pew-Thian Yap, Yafeng Wu, 2016, MICCAI.

A Generative Model for Resolution Enhancement of Diffusion MRI Data

Dinggang Shen, Pew-Thian Yap, Yasheng Chen, 2013, MICCAI.

Proceedings of Third International Workshop on Multimodal Brain Image Analysis - Volume 8159

Dinggang Shen, Carl-Fredrik Westin, Tianming Liu, 2013 .

Machine Learning in Medical Imaging

Dinggang Shen, Pingkun Yan, Fei Wang, 2012, Machine Vision and Applications.

Knowledge-Guided Robust MRI Brain Extraction for Diverse Large-Scale Neuroimaging Studies on Humans and Non-Human Primates

Dinggang Shen, Feng Shi, Pew-Thian Yap, 2014, PloS one.

Representation Learning: A Unified Deep Learning Framework for Automatic Prostate MR Segmentation

Shu Liao, Yaozong Gao, Dinggang Shen, 2013, MICCAI.

PopTract: Population-Based Tractography

Dinggang Shen, John H. Gilmore, Pew-Thian Yap, 2011, IEEE Transactions on Medical Imaging.

Joint labeling of multiple regions of interest (ROIS) by enhanced auto context models

Dinggang Shen, Yanrong Guo, Guorong Wu, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Building dynamic population graph for accurate correspondence detection

Dinggang Shen, Yanrong Guo, Dong Ni, 2015, Medical Image Anal..

Evaluation of machine learning algorithms for treatment outcome prediction in patients with epilepsy based on structural connectome data

Dinggang Shen, Martin Styner, Chong-Yaw Wee, 2015, NeuroImage.

Deformable segmentation of 3-D ultrasound prostate images using statistical texture matching method

Dinggang Shen, Yiqiang Zhan, D. Shen, 2006, IEEE Transactions on Medical Imaging.

Optimal Sparse Linear Prediction for Block-missing Multi-modality Data Without Imputation

Dinggang Shen, Guan Yu, Quefeng Li, 2019, Journal of the American Statistical Association.

Predicting infant cortical surface development using a 4D varifold-based learning framework and local topography-based shape morphing

Dinggang Shen, Islem Rekik, Weili Lin, 2016, Medical Image Anal..

Novel Multi-Atlas Segmentation by Matrix Completion

Dinggang Shen, Yanrong Guo, Kim-Han Thung, 2014, MLMI.

Hierarchical Rough-to-Fine Model for Infant Age Prediction Based on Cortical Features

Gang Li, Dinggang Shen, Dan Hu, 2020, IEEE Journal of Biomedical and Health Informatics.

Hierarchical multi-atlas label fusion with multi-scale feature representation and label-specific patch partition

Dinggang Shen, Qian Wang, Guorong Wu, 2015, NeuroImage.

Multi‐channel multi‐scale fully convolutional network for 3D perivascular spaces segmentation in 7T MR images

Dinggang Shen, Jun Zhang, Chunfeng Lian, 2018, Medical Image Anal..

Data-driven graph construction and graph learning: A review

Dinggang Shen, Limei Zhang, Lishan Qiao, 2018, Neurocomputing.

Novel Single and Multiple Shell Uniform Sampling Schemes for Diffusion MRI Using Spherical Codes

Dinggang Shen, Pew-Thian Yap, Jian Cheng, 2015, MICCAI.

Spatial distribution and longitudinal development of deep cortical sulcal landmarks in infants

Dinggang Shen, John H. Gilmore, Yu Meng, 2014, NeuroImage.

Affine invariant detection of perceptually parallel 3D planar curves

Dinggang Shen, Eam Khwang Teoh, Horace Ho-Shing Ip, 2000, Pattern Recognit..

Neonatal atlas construction using sparse representation

Dinggang Shen, Guorong Wu, Li Wang, 2014, Human brain mapping.

Craniomaxillofacial Bony Structures Segmentation from MRI with Deep-Supervision Adversarial Learning

Dinggang Shen, Peng Yuan, Li Wang, 2018, MICCAI.

Robust Construction of Diffusion MRI Atlases with Correction for Inter-Subject Fiber Dispersion.

Dinggang Shen, Pew-Thian Yap, Geng Chen, 2016, Computational Diffusion MRI : MICCAI workshop, Athens, Greece, October 2016. CDMRI (Workshop).

Collaborative Image Synthesis and Disease Diagnosis for Classification of Neurodegenerative Disorders with Incomplete Multi-modal Neuroimages

Dinggang Shen, Yongsheng Pan, Yuanyuan Chen, 2021, MICCAI.

Hierarchical Morphology-Guided Tooth Instance Segmentation from CBCT Images

Dinggang Shen, Chunfeng Lian, Changjian Li, 2021, IPMI.

Knee Cartilage Defect Assessment by Graph Representation and Surface Convolution pdf

Dinggang Shen, Yiqiang Zhan, Zhong Xue, 2022, IEEE Transactions on Medical Imaging.

Multiresolution Registration Network (MRN) Hierarchy with Prior Knowledge Learning

Dinggang Shen, Xiaohuan Cao, Zhong Xue, 2021, MLMI@MICCAI.

Diagnosis of Hippocampal Sclerosis from Clinical Routine Head MR Images Using Structure-constrained Super-Resolution Network

Dinggang Shen, Feng Shi, Zhiqiang Zhang, 2021, MLMI@MICCAI.

Multi-Modal MRI Reconstruction with Spatial Alignment Network pdf

Shu Liao, Dinggang Shen, Lichi Zhang, 2021, ArXiv.

Nodule Synthesis and Selection for Augmenting Chest X-ray Nodule Detection

Dinggang Shen, Yiqiang Zhan, Zhong Xue, 2021, PRCV.

Unsupervised Learning of Reference Bony Shapes for Orthognathic Surgical Planning with a Surface Deformation Network.

Dinggang Shen, Chunfeng Lian, Pew-Thian Yap, 2021, Medical physics.

Self-adversarial Learning for Detection of Clustered Microcalcifications in Mammograms

Dinggang Shen, Yiqiang Zhan, Zhong Xue, 2021, MICCAI.

Segmenting Bones from Brain MRI via Generative Adversarial Learning

Dinggang Shen, Chunfeng Lian, Pew-Thian Yap, 2021, Machine Learning in Dentistry.

Fast T2w/FLAIR MRI Acquisition by Optimal Sampling of Information Complementary to Pre-acquired T1w MRI pdf

Dinggang Shen, Junwei Yang, Dong Nie, 2021, ArXiv.

3D Transformer-GAN for High-Quality PET Reconstruction

Dinggang Shen, Yan Wang, Chen Zu, 2021, MICCAI.

NHBS-Net: A Feature Fusion Attention Network for Ultrasound Neonatal Hip Bone Segmentation

Dinggang Shen, Bin Sheng, Ping Li, 2021, IEEE Transactions on Medical Imaging.

ABCnet: Adversarial bias correction network for infant brain MR images

Dinggang Shen, Zhengwang Wu, Fan Wang, 2021, Medical Image Anal..

Large-scale screening to distinguish between COVID-19 and community-acquired pneumonia using infection size-aware classification

Yaozong Gao, Dinggang Shen, Feng Shi, 2021, Physics in medicine and biology.

Motion Correction for Liver DCE-MRI with Time-Intensity Curve Constraint

Dinggang Shen, Qianjin Feng, Yujia Zhou, 2021, MICCAI.

Skull Segmentation from CBCT Images via Voxel-Based Rendering

Dinggang Shen, Chunfeng Lian, Pew-Thian Yap, 2021, MLMI@MICCAI.

Fast and Accurate Craniomaxillofacial Landmark Detection via 3D Faster R-CNN

Dinggang Shen, Chunfeng Lian, Pew-Thian Yap, 2021, IEEE Transactions on Medical Imaging.

TSegNet: An efficient and accurate tooth segmentation network on 3D dental model

Dinggang Shen, Nenglun Chen, Yuanfeng Zhou, 2020, Medical Image Anal..

A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning

Yinghuan Shi, Dinggang Shen, Feng Shi, 2021, Medical Image Analysis.

A Self-Supervised Deep Framework for Reference Bony Shape Estimation in Orthognathic Surgical Planning

Dinggang Shen, Chunfeng Lian, Pew-Thian Yap, 2021, MICCAI.

Contrastive Learning Based Stain Normalization Across Multiple Tumor in Histopathology

Dinggang Shen, Jing Ke, Xiaoyao Liang, 2021, MICCAI.

Reducing magnetic resonance image spacing by learning without ground-truth

Dinggang Shen, Lichi Zhang, Zhong Xue, 2020, Pattern Recognit..

A Mutual Multi-Scale Triplet Graph Convolutional Network for Classification of Brain Disorders Using Functional or Structural Connectivity

Dinggang Shen, Jing Sui, Mingxia Liu, 2021, IEEE Transactions on Medical Imaging.

Multi-Class ASD Classification via Label Distribution Learning with Class-Shared and Class-Specific Decomposition

Dinggang Shen, Shihui Ying, Han Zhang, 2021, Medical Image Anal..

Confidence-Aware Cascaded Network for Fetal Brain Segmentation on MR Images

Dinggang Shen, Feng Shi, Tao Zhou, 2021, MICCAI.

Assessing clinical progression from subjective cognitive decline to mild cognitive impairment with incomplete multi-modal neuroimages

Dinggang Shen, Yunbi Liu, Ling Yue, 2021, Medical Image Anal..

3DMeT: 3D Medical Image Transformer for Knee Cartilage Defect Assessment

Dinggang Shen, Lichi Zhang, Zhong Xue, 2021, MLMI@MICCAI.

Two-Stage Self-Supervised Cycle-Consistency Network for Reconstruction of Thin-Slice MR Images

Dinggang Shen, Jun Wang, Zhiyang Lu, 2021, MICCAI.

Cross-Site Severity Assessment of COVID-19 From CT Images via Domain Adaptation

Yaozong Gao, Dinggang Shen, Feng Shi, 2021, IEEE Transactions on Medical Imaging.

Incomplete multi-modal representation learning for Alzheimer's disease diagnosis

Dinggang Shen, Zhitao Xiao, Changqing Zhang, 2021, Medical Image Anal..

S3Reg: Superfast Spherical Surface Registration Based on Deep Learning

Dinggang Shen, Shunren Xia, Weili Lin, 2021, IEEE Transactions on Medical Imaging.

A Few-Shot Learning Graph Multi-trajectory Evolution Network for Forecasting Multimodal Baby Connectivity Development from a Baseline Timepoint pdf

Dinggang Shen, Islem Rekik, Mohamed Ali Mahjoub, 2021, PRIME@MICCAI.

Variational Encoding and Decoding for Hybrid Supervision of Registration Network

Dinggang Shen, Xiaohuan Cao, Zhong Xue, 2021, MLMI@MICCAI.

Asymmetric multi-task attention network for prostate bed segmentation in computed tomography images

Dinggang Shen, Chunfeng Lian, Pew-Thian Yap, 2021, Medical Image Anal..

An artificial-intelligence lung imaging analysis system (ALIAS) for population-based nodule computing in CT scans

Yaozong Gao, Dinggang Shen, Xiaohuan Cao, 2021, Comput. Medical Imaging Graph..

Machine (Deep) Learning for Orthodontic CAD/CAM Technologies

Dinggang Shen, Chunfeng Lian, Tai-Hsien Wu, 2021, Machine Learning in Dentistry.

CA2.5-Net Nuclei Segmentation Framework with a Microscopy Cell Benchmark Collection

Dinggang Shen, Jing Ke, Yiqing Shen, 2021, MICCAI.

Edge-preserving MRI image synthesis via adversarial network with iterative multi-scale fusion

Dinggang Shen, Yan Wang, Jiliu Zhou, 2021, Neurocomputing.

Publisher Correction: Learning MRI artefact removal with unpaired data

Dinggang Shen, Kim-Han Thung, Pew-Thian Yap, 2021, Nat. Mach. Intell..

Spherical Deformable U-Net: Application to Cortical Surface Parcellation and Development Prediction

Dinggang Shen, Shunren Xia, Weili Lin, 2021, IEEE Transactions on Medical Imaging.

Multi-Modal MRI Reconstruction Assisted with Spatial Alignment Network

Shu Liao, Dinggang Shen, Lichi Zhang, 2021 .

Machine Learning for Craniomaxillofacial Landmark Digitization of 3D Imaging

Dinggang Shen, Chunfeng Lian, Li Wang, 2021, Machine Learning in Dentistry.

Multi-scale Segmentation Network for Rib Fracture Classification from CT Images

Dinggang Shen, Zhiming Cui, Dijia Wu, 2021, MLMI@MICCAI.

Cross-Modality Brain Tumor Segmentation via Bidirectional Global-to-Local Unsupervised Domain Adaptation pdf

Dinggang Shen, Jing Huo, Kelei He, 2021, ArXiv.

A consistent deep registration network with group data modeling

Dinggang Shen, Xiaohuan Cao, Zhong Xue, 2021, Comput. Medical Imaging Graph..

Learning to Synthesize 7 T MRI from 3 T MRI with Few Data by Deformable Augmentation

Dinggang Shen, Yong Xia, Yongsheng Pan, 2021, MLMI@MICCAI.

Spine-Rib Segmentation and Labeling via Hierarchical Matching and Rib-Guided Registration

Dinggang Shen, Zhiming Cui, Dijia Wu, 2021, MLMI@MICCAI.

Domain Generalization for Mammography Detection via Multi-style and Multi-view Contrastive Learning pdf

Dinggang Shen, Zhong Xue, Jie-Zhi Cheng, 2021, MICCAI.

Predicting Symptoms from Multiphasic MRI via Multi-instance Attention Learning for Hepatocellular Carcinoma Grading

Dinggang Shen, Yongsheng Pan, Dijia Wu, 2021, MICCAI.

GACDN: generative adversarial feature completion and diagnosis network for COVID-19

Dinggang Shen, Liang Sun, Feng Shi, 2021, BMC Medical Imaging.

Learning MRI artefact removal with unpaired data

Dinggang Shen, Kim-Han Thung, Pew-Thian Yap, 2021, Nat. Mach. Intell..

A review of deep learning-based three-dimensional medical image registration methods.

Dinggang Shen, Haonan Xiao, Ruijie Yang, 2021, Quantitative imaging in medicine and surgery.

Multi-site MRI harmonization via attention-guided deep domain adaptation for brain disorder identification

Dinggang Shen, Pew-Thian Yap, Erkun Yang, 2021, Medical Image Anal..

Automatic Prostate Cancer Detection On Multi-Parametric Mri With Hierarchical Weakly Supervised Learning

Shu Liao, Dinggang Shen, Guangyu Wu, 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI).

Consistent Segmentation of Longitudinal Brain MR Images with Spatio-Temporal Constrained Networks

Dinggang Shen, Feng Shi, Yong Xia, 2021, MICCAI.

Structure-Driven Unsupervised Domain Adaptation for Cross-Modality Cardiac Segmentation

Dinggang Shen, Nenglun Chen, Runnan Chen, 2021, IEEE Transactions on Medical Imaging.

Two-Stage Mesh Deep Learning for Automated Tooth Segmentation and Landmark Localization on 3D Intraoral Scans pdf

Dinggang Shen, Chunfeng Lian, Tai-Hsien Wu, 2021, ArXiv.

Sparse Dictionary Learning for 3D Craniomaxillofacial Skeleton Estimation Based on 2D Face Photographs

Dinggang Shen, Kim-Han Thung, Chunfeng Lian, 2021, Machine Learning in Dentistry.

Machine Learning for CBCT Segmentation of Craniomaxillofacial Bony Structures

Dinggang Shen, Chunfeng Lian, Li Wang, 2021, Machine Learning in Dentistry.

Cross-Model Attention-Guided Tumor Segmentation for 3D Automated Breast Ultrasound (ABUS) Images

Dinggang Shen, Houjin Chen, Yanfeng Li, 2022, IEEE Journal of Biomedical and Health Informatics.

VertNet: Accurate Vertebra Localization and Identification Network from CT Images

Dinggang Shen, Chunfeng Lian, Feng Shi, 2021, MICCAI.

Task-Induced Pyramid and Attention GAN for Multimodal Brain Image Imputation and Classification in Alzheimer's Disease

Dinggang Shen, Manhua Liu, Feng Shi, 2021, IEEE Journal of Biomedical and Health Informatics.

Building Dynamic Hierarchical Brain Networks and Capturing Transient Meta-states for Early Mild Cognitive Impairment Diagnosis

Dinggang Shen, Feng Shi, Han Zhang, 2021, MICCAI.

Learning Brain Functional Networks With Latent Temporal Dependency for MCI Identification

Dinggang Shen, Seong-Whan Lee, Lishan Qiao, 2021, IEEE Transactions on Biomedical Engineering.

A Recurrent Two-Stage Anatomy-Guided Network for Registration of Liver DCE-MRI

Dinggang Shen, Yiqiang Zhan, Wenjun Shen, 2021, MLMI@MICCAI.

Hippocampus segmentation in MR images: Multiatlas methods and deep learning methods

Dinggang Shen, Hancan Zhu, Liangqiong Qu, 2021, Big Data in Psychiatry #x0026; Neurology.

Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge

Dinggang Shen, M.N.S. Swamy, Jun Ma, 2020, IEEE Transactions on Medical Imaging.

Diverse data augmentation for learning image segmentation with cross-modality annotations

Dinggang Shen, Chunfeng Lian, Pew-Thian Yap, 2021, Medical Image Anal..

Learning statistical correlation for fast prostate registration in image-guided radiotherapy.

Shu Liao, Dinggang Shen, Yonghong Shi, 2011, Medical physics.

Correction for Evidence on the emergence of the brain's default network from 2-week-old to 2-year-old healthy pediatric subjects, by Wei Gao, Hongtu Zhu, Kelly S. Giovanello, J. Keith

Dinggang Shen, John H. Gilmore, Hongtu Zhu, 2009 .

Spatial normalization of spine MR images for statistical correlation of lesions with clinical symptoms.

Dinggang Shen, Christos Davatzikos, Edward H Herskovits, 2002, Radiology.

Improving image-guided radiation therapy of lung cancer by reconstructing 4D-CT from a single free-breathing 3D-CT on the treatment day.

Dinggang Shen, Guorong Wu, Jun Lian, 2012, Medical physics.

Multi-Modal MultiTask Learning for Joint Prediction of Clinical Scores in Alzheimer ’ s Disease

Dinggang Shen, Daoqiang Zhang, .

Environmental Influences on Infant Cortical Thickness and Surface Area

Dinggang Shen, Hongtu Zhu, Li Wang, 2019, Cerebral cortex.

A cybernetic eye for rare disease.

Dinggang Shen, Qian Wang, 2017, Nature biomedical engineering.

Discriminative self-representation sparse regression for neuroimaging-based alzheimer’s disease diagnosis

Dinggang Shen, Seong-Whan Lee, Heung-Il Suk, 2017, Brain Imaging and Behavior.

Canonical feature selection for joint regression and multi-class identification in Alzheimer’s disease diagnosis

Dinggang Shen, Seong-Whan Lee, Heung-Il Suk, 2015, Brain Imaging and Behavior.

Prediction of Alzheimer's disease and mild cognitive impairment using cortical morphological patterns

Dinggang Shen, Pew-Thian Yap, Chong-Yaw Wee, 2013, Human brain mapping.

Non-Local Non-Negative Spherical Deconvolution for Single and Multiple Shell Diffusion MRI

Rachid Deriche, Dinggang Shen, Tianzi Jiang, 2013, ISBI 2013.

Dinggang Shen, Christos Davatzikos, Jay N. Giedd, 2006, Molecular and Cellular Endocrinology.

Super-Resolution Reconstruction of Diffusion-Weighted Images using 4D Low-Rank and Total Variation

Dinggang Shen, Li Wang, Feng Shi, 2015, Computational diffusion MRI : MICCAI Workshop, Munich, Germany, October 9th, 2015. CDMRI (Workshop).

Cortical thickness and surface area in neonates at high risk for schizophrenia

Dinggang Shen, John H. Gilmore, Hongtu Zhu, 2014, Brain Structure and Function.

Segmenting CT prostate images using population and patient-specific statistics for radiotherapy

Dinggang Shen, Qianjin Feng, Wufan Chen, 2010, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Evidence on the emergence of the brain's default network from 2-week-old to 2-year-old healthy pediatric subjects

Dinggang Shen, John H. Gilmore, Hongtu Zhu, 2009, Proceedings of the National Academy of Sciences.

Automated quantification of cerebral edema following hemispheric infarction: Application of a machine-learning algorithm to evaluate CSF shifts on serial head CTs

Dinggang Shen, Weili Lin, Yasheng Chen, 2016, NeuroImage: Clinical.

Learning image context for segmentation of the prostate in CT-guided radiotherapy

Shu Liao, Dinggang Shen, Qianjin Feng, 2012, Physics in medicine and biology.

Multivariate Longitudinal Shape Analysis of Human Lateral Ventricles during the First Twenty-Four Months of Life

Dinggang Shen, Martin Styner, Hongtu Zhu, 2014, PloS one.

Coregistration of Magnetic Resonance and Single Photon Emission Computed Tomography Images for Noninvasive Localization of Stem Cells Grafted in the Infarcted Rat Myocardium

Dinggang Shen, Rong Zhou, Zixiong Cao, 2006, Molecular Imaging and Biology.

Predictive models of resting state networks for assessment of altered functional connectivity in mild cognitive impairment

Dinggang Shen, Tuo Zhang, Dajiang Zhu, 2013, Brain Imaging and Behavior.

Cerebral Cortex doi:10.1093/cercor/bhs043 Cerebral Cortex Advance Access published February 24, 2012 The Synchronization within and Interaction between the Default and Dorsal Attention Networks in Early Infancy

Dinggang Shen, Hongtu Zhu, Wei Gao, 2022 .

Cerebral blood volume in Alzheimer's disease and correlation with tissue structural integrity

Dinggang Shen, Jinsoo Uh, Ramon Diaz-Arrastia, 2010, Neurobiology of Aging.

Mapping hemispheric asymmetries of the macaque cerebral cortex during early brain development

Dinggang Shen, Caiming Zhang, Li Wang, 2019, Human brain mapping.

A computational growth model for measuring dynamic cortical development in the first year of life.

Dinggang Shen, Li Wang, Weili Lin, 2012, Cerebral cortex.

Can we predict subject‐specific dynamic cortical thickness maps during infancy from birth?

Yaozong Gao, Dinggang Shen, Islem Rekik, 2017, Human brain mapping.

Discriminative multitask feature selection for multimodality classification of Alzheimer ’ s disease

Dinggang Shen, Chen Zu, Biao Jie, 2015 .

Label-aligned multitask feature learning for multimodal classification of Alzheimer ’ s disease and mild cognitive impairment

Dinggang Shen, Chen Zu, Mingxia Liu, 2016 .

Disrupted Brain Functional Network in Internet Addiction Disorder: A Resting-State Functional Magnetic Resonance Imaging Study

Dinggang Shen, Guorong Wu, Feng Shi, 2014, PloS one.

Axonal fiber terminations concentrate on gyri.

Dinggang Shen, Degang Zhang, Jinglei Lv, 2012, Cerebral cortex.

An Approach To Tensor Fields Reorientation Based On Optimized Neighborhood

Dinggang Shen, Christos Davatzikos, Dongrong Xu, 2003 .

Abnormal Changes of Brain Cortical Anatomy and the Association with Plasma MicroRNA107 Level in Amnestic Mild Cognitive Impairment

Dinggang Shen, Feng Shi, Yan Jin, 2016, Front. Aging Neurosci..

Overall survival time prediction for high-grade glioma patients based on large-scale brain functional networks

Dinggang Shen, Qian Wang, Islem Rekik, 2018, Brain Imaging and Behavior.

Online updating of context-aware landmark detectors for prostate localization in daily treatment CT images.

Yaozong Gao, Dinggang Shen, Xiubin Dai, 2015, Medical physics.

Incremental Learning With Selective Memory (ILSM): Towards Fast Prostate Localization for Image Guided Radiotherapy

Yaozong Gao, Dinggang Shen, Yiqiang Zhan, 2014, IEEE Transactions on Medical Imaging.

Evidence on the emergence of the brain's default network from 2-week-old to 2-year-old healthy pediatric subjects

Dinggang Shen, John H. Gilmore, Hongtu Zhu, 2009, Proceedings of the National Academy of Sciences.

Multi-Layer MultiView Classification for Alzheimer ’ s Disease Diagnosis

Dinggang Shen, Ehsan Adeli, Changqing Zhang, 2017 .

Synergistic learning of lung lobe segmentation and hierarchical multi-instance classification for automated severity assessment of COVID-19 in CT images

Dinggang Shen, Wen Ji, Feng Shi, 2020, Pattern Recognition.

Developmental topography of cortical thickness during infancy

Dinggang Shen, Chunfeng Lian, Weili Lin, 2019, Proceedings of the National Academy of Sciences.

Prostate volumes derived from MRI and volume-adjusted serum prostate-specific antigen: correlation with Gleason score of prostate cancer.

Shu Liao, Dinggang Shen, Ambereen Yousuf, 2013, AJR. American journal of roentgenology.

Genetic influences on neonatal cortical thickness and surface area

Dinggang Shen, Hongtu Zhu, Li Wang, 2018, Human brain mapping.

Fetal cortical surface atlas parcellation based on growth patterns

Dinggang Shen, Caiming Zhang, Gemma Piella, 2019, Human brain mapping.

Collaborative MultiView Denoising

Dinggang Shen, Lei Zhang, Yong Wang, 2016 .

Extraction of dynamic functional connectivity from brain grey matter and white matter for MCI classification

Dinggang Shen, Seong-Whan Lee, Lichi Zhang, 2017, Human brain mapping.

Segmenting lung fields in serial chest radiographs using both population and patient-specific shape statistics.

Dinggang Shen, Zhong Xue, Yonghong Shi, 2006, Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention.

Cortical Structure and Cognition in Infants and Toddlers.

Dinggang Shen, Li Wang, Rebecca C. Knickmeyer, 2019, Cerebral cortex.

Altered brain network modules induce helplessness in major depressive disorder.

Dinggang Shen, Feng Shi, Jun Liu, 2014, Journal of affective disorders.

Diagnosis of autism spectrum disorders using regional and interregional morphological features

Dinggang Shen, Feng Shi, Pew-Thian Yap, 2014, Human brain mapping.

Severity assessment of COVID-19 using CT image features and laboratory indices

Dinggang Shen, Feng Shi, Jun Liu, 2020, Physics in medicine and biology.

Multilevel Deficiency of White Matter Connectivity Networks in Alzheimer's Disease: A Diffusion MRI Study with DTI and HARDI Models

Dinggang Shen, Tao Wang, Feng Shi, 2016, Neural plasticity.

Discriminative multi-task feature selection for multi-modality classification of Alzheimer’s disease

Dinggang Shen, Chen Zu, Biao Jie, 2015, Brain Imaging and Behavior.

Fast histogram equalization for medical image enhancement.

Dinggang Shen, Qian Wang, Liya Chen, 2008, Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference.

Prediction of standard-dose brain PET image by using MRI and low-dose brain [18F]FDG PET images.

Yaozong Gao, Dinggang Shen, Feng Shi, 2015, Medical physics.

O2-03-06 MCI diagnosis via high-dimensional pattern classification with simultaneous utilization of MR and pet-CBF images yields 100% correct classification

Dinggang Shen, Christos Davatzikos, Yong Fan, 2007, Alzheimer's & Dementia.

Hybrid PET/MR May Improve Diagnostic Yield of Epileptic Lesions (P6.288)

Dinggang Shen, Weili Lin, Hongyu An, 2015 .

Gyral Growth Patterns of Macaque Brains Revealed by Scattered Orthogonal Nonnegative Matrix Factorization

Dinggang Shen, Lei Du, Jinglei Lv, 2020, MLMI@MICCAI.

Treatment-naïve first episode depression classification based on high-order brain functional network.

Dinggang Shen, Danian Li, Han Zhang, 2019, Journal of affective disorders.

Inferring Groupwise Consistent Multimodal Brain Networks via Multiview Spectral Clustering

Dinggang Shen, Tuo Zhang, Dajiang Zhu, 2022 .