Pew-Thian Yap

Hongtu Zhu, Joseph G Ibrahim, Pew-Thian Yap, 2016, Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America.

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

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

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

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

Machine Learning Techniques for AD/MCI Diagnosis and Prognosis

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

A New Multi-Atlas Registration Framework for Multimodal Pathological Images Using Conventional Monomodal Normal Atlases

Pew-Thian Yap, Dinggang Shen, Zhenyu Tang, 2019, IEEE Transactions on Image Processing.

Robust Fusion of Diffusion MRI Data for Template Construction

Pew-Thian Yap, Dinggang Shen, Zhanlong Yang, 2017, Scientific Reports.

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.

Medical Image Computing and Computer Assisted Intervention – MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13–17, 2019, Proceedings, Part IV

Terry M. Peters, Lawrence H. Staib, Pew-Thian Yap, 2019, MICCAI.

Low-Rank Total Variation for Image Super-Resolution

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

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

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

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.

Block-Based Statistics for Robust Non-parametric Morphometry

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

Robust anatomical landmark detection with application to MR brain image registration

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

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).

Denoising of Diffusion MRI Data via Graph Framelet Matching in x-q Space

Yong Zhang, Pew-Thian Yap, Weili Lin, 2019, IEEE Transactions on Medical Imaging.

Fiber-driven resolution enhancement of diffusion-weighted images

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

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

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

Image Analysis Using Hahn Moments

Raveendran Paramesran, Pew-Thian Yap, Seng-Huat Ong, 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Improving Estimation of Fiber Orientations in Diffusion MRI Using Inter-Subject Information Sharing

Ke Li, Pew-Thian Yap, Chong-Yaw Wee, 2016, Scientific Reports.

Longitudinal Prediction of Infant Diffusion MRI Data via Graph Convolutional Adversarial Networks

Pew-Thian Yap, Weili Lin, Dinggang Shen, 2019, IEEE Transactions on Medical Imaging.

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..

eHUGS: Enhanced Hierarchical Unbiased Graph Shrinkage for Efficient Groupwise Registration

Shihui Ying, Guorong Wu, Qian Wang, 2016, PloS one.

Two-Dimensional Polar Harmonic Transforms for Invariant Image Representation

Xudong Jiang, Alex ChiChung Kot, Pew-Thian Yap, 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.

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

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

Uncertainty Estimation in Diffusion MRI Using the Nonlocal Bootstrap

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

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..

DWI Denoising Using Spatial, Angular, and Radiometric Filtering

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

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

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

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

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

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.

Image analysis by Krawtchouk moments

Raveendran Paramesran, Pew-Thian Yap, Seng-Huat Ong, 2003, IEEE Trans. Image Process..

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.

Attribute Vector Guided Groupwise Registration

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

Large Deformation Diffeomorphic Registration of Diffusion-Weighted Images

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

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

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

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.

Denoising Diffusion-Weighted Images Using Grouped Iterative Hard Thresholding of Multi-Channel Framelets.

Pew-Thian Yap, Dinggang Shen, Yong Zhang, 2016, Computational Diffusion MRI : MICCAI workshop, Athens, Greece, October 2016. CDMRI (Workshop).

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.

Spatial Transformation of DWI Data Using Non-Negative Sparse Representation

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

Multi-Site Harmonization of Diffusion MRI Data via Method of Moments

Pew-Thian Yap, Ye Wu, Dinggang Shen, 2019, IEEE Transactions on Medical Imaging.

Longitudinal Tractography with Application to Neuronal Fiber Trajectory Reconstruction in Neonates

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

Regularized Spherical Polar Fourier Diffusion MRI with Optimal Dictionary Learning

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

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.

Medical Image Computing and Computer Assisted Intervention – MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13–17, 2019, Proceedings, Part III

Terry M. Peters, Lawrence H. Staib, Pew-Thian Yap, 2019, MICCAI.

One-Shot Generative Adversarial Learning for MRI Segmentation of Craniomaxillofacial Bony Structures

Kim-Han Thung, Chunfeng Lian, Xu Chen, 2020, IEEE Transactions on Medical Imaging.

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

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

Robust Anatomical Landmark Detection for MR Brain Image Registration

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

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

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

Space-Frequency Detail-Preserving Construction of Neonatal Brain Atlases

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

Surface-constrained volumetric registration for the early developing brain

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

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

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

Estimating Reference Bony Shape Model for Personalized Surgical Reconstruction of Posttraumatic Facial Defects

Li Wang, Jihua Zhu, Kim-Han Thung, 2019, MICCAI.

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

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

Probing Tissue Microarchitecture of the Baby Brain via Spherical Mean Spectrum Imaging

Kim-Han Thung, Pew-Thian Yap, Ye Wu, 2019, IEEE Transactions on Medical Imaging.

Multi-channel framelet denoising of diffusion-weighted images

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

Identification of Abnormal Circuit Dynamics in Major Depressive Disorder via Multiscale Neural Modeling of Resting-State fMRI

Yujie Liu, Han Zhang, Pew-Thian Yap, 2019, MICCAI.

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

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

Structural Connectivity Guided Sparse Effective Connectivity for MCI Identification

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

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

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

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.

Difficulty-aware hierarchical convolutional neural networks for deformable registration of brain MR images

Pew-Thian Yap, Dinggang Shen, Jingfan Fan, 2020, Medical Image Anal..

A General Fast Registration Framework by Learning Deformation–Appearance Correlation

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

Wavelet-based Semi-supervised Adversarial Learning for Synthesizing Realistic 7T from 3T MRI

Shuai Wang, Pew-Thian Yap, Dinggang Shen, 2019, MICCAI.

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

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

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..

Medical Image Computing and Computer Assisted Intervention – MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13–17, 2019, Proceedings, Part I

Terry M. Peters, Lawrence H. Staib, Pew-Thian Yap, 2019, 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 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.

Gaussianization of Diffusion MRI Data Using Spatially Adaptive Filtering

Pew-Thian Yap, Dinggang Shen, Jun Feng, 2020, Medical Image Anal..

Improving Functional MRI Registration Using Whole-Brain Functional Correlation Tensors

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

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

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

F-TIMER: Fast Tensor Image Morphing for Elastic Registration

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

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.

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.

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.

Brainwide functional networks associated with anatomically- and functionally-defined hippocampal subfields using ultrahigh-resolution fMRI

Pew-Thian Yap, Kelly S. Giovanello, Han Zhang, 2020, Scientific Reports.

TIMER: Tensor Image Morphing for Elastic Registration

Dinggang Shen, Hongtu Zhu, Guorong Wu, 2009, NeuroImage.

Computational neuroanatomy of baby brains: A review

Dinggang Shen, Yu Meng, Li Wang, 2019, NeuroImage.

Multi-stage Image Quality Assessment of Diffusion MRI via Semi-supervised Nonlocal Residual Networks

Kim-Han Thung, Pew-Thian Yap, Dinggang Shen, 2019, MICCAI.

DeepBundle: Fiber Bundle Parcellation with Graph Convolution Neural Networks pdf

Pew-Thian Yap, Jun Feng, Dinggang Shen, 2019, GLMI@MICCAI.

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.

Resolution Enhancement of Diffusion-Weighted Images by Local Fiber Profiling

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

Reconstructing High-Quality Diffusion MRI Data from Orthogonal Slice-Undersampled Data Using Graph Convolutional Neural Networks

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

Multi-Kernel Filtering: An Extension of Bilateral Filtering Using Image Context pdf

Pew-Thian Yap, Feihong Liu, Dinggang Shen, 2019, ArXiv.

Tight Graph Framelets for Sparse Diffusion MRI q-Space Representation

Dinggang Shen, Bin Dong, Pew-Thian Yap, 2016, MICCAI.

Hierarchical Fiber Clustering Based on Multi-Scale Neuroanatomical Features

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

4D Multi-Modality Tissue Segmentation of Serial Infant Images

Dinggang Shen, John H. Gilmore, Li Wang, 2012, PloS one.

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.

Medical Image Computing and Computer Assisted Intervention – MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13–17, 2019, Proceedings, Part V

Terry M. Peters, Lawrence H. Staib, Pew-Thian Yap, 2019, MICCAI.

Neurodegenerative disease diagnosis using incomplete multi-modality data via matrix shrinkage and completion

Dinggang Shen, Kim-Han Thung, Pew-Thian Yap, 2014, NeuroImage.

Development Trends of White Matter Connectivity in the First Years of Life

Dinggang Shen, John H. Gilmore, Yong Fan, 2011, PloS one.

Information Processing in Medical Imaging

Dinggang Shen, Martin Styner, Hongtu Zhu, 2017, Lecture Notes in Computer Science.

Construction of Neonatal Diffusion Atlases via Spatio-Angular Consistency

Dinggang Shen, Feng Shi, Pew-Thian Yap, 2016, Patch-MI@MICCAI.

An efficient method for the computation of Legendre moments

Raveendran Paramesran, Pew-Thian Yap, P. Yap, 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Deep Modeling of Growth Trajectories for Longitudinal Prediction of Missing Infant Cortical Surfaces pdf

Dinggang Shen, Gang Li, Pew-Thian Yap, 2019, IPMI.

Identification of Alzheimer's Disease Using Incomplete Multimodal Dataset via Matrix Shrinkage and Completion

Dinggang Shen, Kim-Han Thung, Pew-Thian Yap, 2013, MLMI.

Spatiotemporal Analysis of Developing Brain Networks

Dinggang Shen, Han Zhang, Xiaohua Xu, 2018, Front. Neuroinform..

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.

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.

Longitudinally Guided Super-Resolution of Neonatal Brain Magnetic Resonance Images

Li Wang, Feng Shi, Pew-Thian Yap, 2019, IEEE Transactions on Cybernetics.

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..

Noise reduction in diffusion MRI using non-local self-similar information in joint x-q space

Pew-Thian Yap, Dinggang Shen, Yafeng Wu, 2018, Medical Image Anal..

Dual-domain convolutional neural networks for improving structural information in 3 T MRI.

Dinggang Shen, Pew-Thian Yap, Yongqin Zhang, 2019, Magnetic resonance imaging.

Synthesized 7T MRI from 3T MRI via deep learning in spatial and wavelet domains

Shuai Wang, Pew-Thian Yap, Dinggang Shen, 2020, Medical Image Anal..

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.

Group Sparsity Constrained Automatic Brain Label Propagation

Shu Liao, Daoqiang Zhang, Dinggang Shen, 2012, MLMI.

BIRNet: Brain image registration using dual‐supervised fully convolutional networks

Dinggang Shen, Xiaohuan Cao, Pew-Thian Yap, 2018, Medical Image Anal..

Segmentation of Infant Hippocampus Using Common Feature Representations Learned for Multimodal Longitudinal Data

Dinggang Shen, Yanrong Guo, Guorong Wu, 2015, MICCAI.

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.

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.

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.

Hierarchical anatomical brain networks for MCI prediction by partial least square analysis

Dinggang Shen, Yaping Wang, Luping Zhou, 2011, CVPR 2011.

Reconstruction of Fiber Trajectories via Population-Based Estimation of Local Orientations

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

Fast Tensor Image Morphing for Elastic Registration

Dinggang Shen, Hongtu Zhu, Guorong Wu, 2009, MICCAI.

Diffusion Tensor Image Registration with Combined Tract and Tensor Features

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

Embarrassingly Parallel Acceleration of Global Tractography via Dynamic Domain Partitioning

Dinggang Shen, Pew-Thian Yap, Yan Jin, 2016, Front. Neuroinform..

TIMER: Tensor Image Morphing for Elastic Registration

Dinggang Shen, Hongtu Zhu, Guorong Wu, 2009, CVPR Workshops.

Automated DNA fiber tracking and measurement

Dinggang Shen, Yaping Wang, Lei Guo, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Identification of Individuals with MCI via Multimodality Connectivity Networks

Daoqiang Zhang, Dinggang Shen, Lihong Wang, 2011, MICCAI.

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.

Deep Learning Deformation Initialization for Rapid Groupwise Registration of Inhomogeneous Image Populations

Dinggang Shen, Xiaohuan Cao, Pew-Thian Yap, 2019, Frontiers in Neuroinformatics.

Medical Image Computing and Computer Assisted Intervention – MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13–17, 2019, Proceedings, Part II

Terry M. Peters, Lawrence H. Staib, Pew-Thian Yap, 2019, MICCAI.

CENTS: Cortical enhanced neonatal tissue segmentation

Dinggang Shen, Feng Shi, Yong Fan, 2011, 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.

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.

PopTract: Population-Based Tractography

Dinggang Shen, John H. Gilmore, Pew-Thian Yap, 2011, IEEE Transactions on Medical Imaging.

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

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

Deformable Registration of Brain MR Images via a Hybrid Loss pdf

Haoran Dou, Pew-Thian Yap, Luyi Han, 2021, ArXiv.

Noise Mapping and Removal in Complex-Valued Multi-Channel MRI via Optimal Shrinkage of Singular Values

Pew-Thian Yap, Khoi Minh Huynh, Yueh Lee, 2021, MICCAI.

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.

Multi-site Incremental Image Quality Assessment of Structural MRI via Consensus Adversarial Representation Adaptation

Kim-Han Thung, Pew-Thian Yap, Siyuan Liu, 2021, MICCAI.

Segmenting Bones from Brain MRI via Generative Adversarial Learning

Dinggang Shen, Chunfeng Lian, Pew-Thian Yap, 2021, Machine Learning in Dentistry.

DLLNet: An Attention-Based Deep Learning Method for Dental Landmark Localization on High-Resolution 3D Digital Dental Models

Chunfeng Lian, Pew-Thian Yap, Jaime Gateno, 2021, MICCAI.

Estimating Reference Bony Shape Models for Orthognathic Surgical Planning Using 3D Point-Cloud Deep Learning

Chunfeng Lian, Pew-Thian Yap, Jaime Gateno, 2021, IEEE Journal of Biomedical and Health Informatics.

SkullEngine: A Multi-stage CNN Framework for Collaborative CBCT Image Segmentation and Landmark Detection

Chunfeng Lian, Pew-Thian Yap, Jaime Gateno, 2021, MLMI@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.

A Self-Supervised Deep Framework for Reference Bony Shape Estimation in Orthognathic Surgical Planning

Dinggang Shen, Chunfeng Lian, Pew-Thian Yap, 2021, MICCAI.

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.

Real-Time Mapping of Tissue Properties for Magnetic Resonance Fingerprinting

Pew-Thian Yap, Yong Chen, Yilin Liu, 2021, MICCAI.

Surface-Guided Image Fusion for Preserving Cortical Details in Human Brain Templates

Pew-Thian Yap, Sahar Ahmad, Ye Wu, 2021, 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..

Publisher Correction: Learning MRI artefact removal with unpaired data

Dinggang Shen, Kim-Han Thung, Pew-Thian Yap, 2021, Nat. Mach. Intell..

Deep Simulation of Facial Appearance Changes Following Craniomaxillofacial Bony Movements in Orthognathic Surgical Planning

Chunfeng Lian, Pew-Thian Yap, Jaime Gateno, 2021, MICCAI.

Active Cortex Tractography

Pew-Thian Yap, Sahar Ahmad, Ye Wu, 2021, MICCAI.

Learning MRI artefact removal with unpaired data

Dinggang Shen, Kim-Han Thung, Pew-Thian Yap, 2021, Nat. Mach. Intell..

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..

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.

Dual Shape Guided Segmentation Network for Organs-at-Risk in Head and Neck CT Images pdf

Pew-Thian Yap, Jun Lian, Shuai Wang, 2021, ArXiv.

Vox2Surf: Implicit Surface Reconstruction from Volumetric Data

Pew-Thian Yap, Sahar Ahmad, Siyuan Liu, 2021, MLMI@MICCAI.

Highly Reproducible Whole Brain Parcellation in Individuals via Voxel Annotation with Fiber Clusters

Pew-Thian Yap, Sahar Ahmad, Ye Wu, 2021, MICCAI.

Learning multi-site harmonization of magnetic resonance images without traveling human phantoms pdf

Pew-Thian Yap, Siyuan Liu, P. Yap, 2021, Communications engineering.

Diverse data augmentation for learning image segmentation with cross-modality annotations

Dinggang Shen, Chunfeng Lian, Pew-Thian Yap, 2021, Medical Image Anal..

Jacobi moments as image features

Pew-Thian Yap, R. Paramesran, P. Yap, 2004, 2004 IEEE Region 10 Conference TENCON 2004..

LDA enhanced moments

Xudong Jiang, Pew-Thian Yap, A.C. Kot, 2007, 2007 6th International Conference on Information, Communications & Signal Processing.

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.

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).

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.

Diagnosis of autism spectrum disorders using regional and interregional morphological features

Dinggang Shen, Feng Shi, Pew-Thian Yap, 2014, Human brain mapping.

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.

Large‐scale dynamic causal modeling of major depressive disorder based on resting‐state functional magnetic resonance imaging

Dinggang Shen, Pew-Thian Yap, Guoshi Li, 2019, Human brain mapping.