Feng Shi

发表

Yaozong Gao, Dinggang Shen, Khosro Bahrami, 2017, Medical physics.

Morphology evolution of doped phosphate glass in ion beam figuring

Feng Shi, Gang Zhou, Ye Tian, 2019, SPIE/SIOM Pacific Rim Laser Damage.

Altered Structural Connectivity in Neonates at Genetic Risk for Schizophrenia: a Combined Study Using Morphological and White Matter Networks

Dinggang Shen, John H. Gilmore, Wei Gao, 2022 .

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.

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.

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

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

Longitudinal Guided Super-Resolution Reconstruction of Neonatal Brain MR Images

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

Spatio‐angular consistent construction of neonatal diffusion MRI atlases

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

Multiple Cortical Surface Correspondence Using Pairwise Shape Similarity

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

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.

Dilated Dense U-Net for Infant Hippocampus Subfield Segmentation

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

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

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

Real‐time strategy video game experience and structural connectivity – A diffusion tensor imaging study

Feng Shi, Artur Marchewka, Natalia Kowalczyk, 2018, Human brain mapping.

Brain anatomical networks in early human brain development

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

Consistent Spatial-Temporal Longitudinal Atlas Construction for Developing Infant Brains

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

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.

Semi-Supervised Discriminative Classification Robust to Sample-Outliers and Feature-Noises

Tao Wang, Ehsan Adeli, Kim-Han Thung, 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.

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

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

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.

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

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

The Numerical Simulation Study of the Inner Flow Field of the Screw Pump

Feng Shi, Chunsheng Wang, Cuiju Feng, 2013 .

Calcium removal from cardiac ct images using deep convolutional neural network

Damini Dey, Feng Shi, Debiao Li, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

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

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

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

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

Low-Rank Total Variation for Image Super-Resolution

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

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.

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.

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.

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.

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

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

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

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

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.

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.

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

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

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.

Isointense Infant Brain Segmentation by Stacked Kernel Canonical Correlation Analysis

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

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.

Space-Frequency Detail-Preserving Construction of Neonatal Brain Atlases

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

Intracranial Vessel Wall Segmentation Using Convolutional Neural Networks

Qi Yang, Damini Dey, Feng Shi, 2019, IEEE Transactions on Biomedical Engineering.

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

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

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

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

Towards the clinical implementation of iterative low-dose cone-beam CT reconstruction in image-guided radiation therapy: cone/ring artifact correction and multiple GPU implementation.

Hao Yan, Steve B. Jiang, Xun Jia, 2014, Medical physics.

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.

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

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

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.

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

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

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

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

Automatic Segmentation of Brain Tissues for Newborn MRI in Longitudinal Study

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

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.

Automated segmentation of dental CBCT image with prior-guided sequential random forests.

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

Registration-Free Infant Cortical Surface Parcellation Using Deep Convolutional Neural Networks

Dinggang Shen, John H. Gilmore, Li Wang, 2018, MICCAI.

Computational neuroanatomy of baby brains: A review

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

Brain MRI super resolution using 3D deep densely connected neural networks

Feng Shi, Debiao Li, Yuhua Chen, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

The causation and treatment of oil breaker tripping overgrade in Shimen Power Station

Feng Shi, 2003 .

aBEAT: A Toolbox for Consistent Analysis of Longitudinal Adult Brain MRI

Dinggang Shen, Guorong Wu, Feng Shi, 2013, PloS one.

iBEAT: A Toolbox for Infant Brain Magnetic Resonance Image Processing

Dinggang Shen, Guorong Wu, Li Wang, 2012, Neuroinformatics.

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.

A Multi-level Canonical Correlation Analysis Scheme for Standard-Dose PET Image Estimation

Dinggang Shen, Feng Shi, Weili Lin, 2015, Patch-MI@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..

4D Segmentation of Longitudinal Brain MR Images with Consistent Cortical Thickness Measurement

Dinggang Shen, Li Wang, Feng Shi, 2012, STIA.

4D Multi-Modality Tissue Segmentation of Serial Infant Images

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

Constructing 4D Infant Cortical Surface Atlases Based on Dynamic Developmental Trajectories of the Cortex

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

Construction of Neonatal Diffusion Atlases via Spatio-Angular Consistency

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

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.

Distinguish activations on sensorimotor cortex using high-resolution diffuse optical tomography

Tianzi Jiang, Feng Shi, Qing Zhao, 2007, International Conference on Photonics and Imaging in Biology and Medicine.

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.

Longitudinally Guided Super-Resolution of Neonatal Brain Magnetic Resonance Images

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

Reconstruction of 7T-Like Images From 3T MRI

Dinggang Shen, Feng Shi, Xiaopeng Zong, 2016, IEEE Transactions on Medical Imaging.

7T-Guided Learning Framework for Improving the Segmentation of 3T MR Images

Yaozong Gao, Dinggang Shen, Feng Shi, 2016, 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.

Power-bandwidth trade-off on TSV array in 3D IC and TSV-RDL junction design challenges

Wei Yao, Feng Shi, Lei He, 2012, 2012 IEEE 21st Conference on Electrical Performance of Electronic Packaging and Systems.

Accurate and Consistent 4D Segmentation of Serial Infant Brain MR Images

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

Simultaneous and consistent labeling of longitudinal dynamic developing cortical surfaces in infants

Dinggang Shen, Li Wang, Feng Shi, 2014, Medical Image Anal..

journal homepage: www.elsevier.com/locate/ynimg

Dinggang Shen, John H. Gilmore, Li Wang, 2022 .

Detecting pantana phyllostachysae using GF-2 images

Feng Shi, Bo Shao, Dong Yang, 2017, 2017 2nd International Conference on Frontiers of Sensors Technologies (ICFST).

Automatic Segmentation of Neonatal Images Using Convex Optimization and Coupled Level Set Method

Dinggang Shen, John H. Gilmore, Li Wang, 2010, MIAR.

Automated Segmentation of CBCT Image Using Spiral CT Atlases and Convex Optimization

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

CENTS: Cortical enhanced neonatal tissue segmentation

Dinggang Shen, Feng Shi, Yong Fan, 2011, Human brain mapping.

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.

Kernel-based Joint Feature Selection and Max-Margin Classification for Early Diagnosis of Parkinson’s Disease

Ehsan Adeli, Guorong Wu, Feng Shi, 2017, Scientific Reports.

Neonatal atlas construction using sparse representation

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

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.

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.

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.

Confidence-Aware Cascaded Network for Fetal Brain Segmentation on MR Images

Dinggang Shen, Feng Shi, Tao Zhou, 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.

GACDN: generative adversarial feature completion and diagnosis network for COVID-19

Dinggang Shen, Liang Sun, Feng Shi, 2021, BMC Medical Imaging.

Consistent Segmentation of Longitudinal Brain MR Images with Spatio-Temporal Constrained Networks

Dinggang Shen, Feng Shi, Yong Xia, 2021, MICCAI.

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.

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.

Functional Brain Parcellations of the Infant Brain and the Associated Developmental Trends

Feng Shi, Wei Gao, Weili Lin, 2018, Cerebral cortex.

Study of brain morphology change in Alzheimer’s disease and amnestic mild cognitive impairment compared with normal controls

Feng Shi, Yan Jin, Wei Li, 2019, General Psychiatry.

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.

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..

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.

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.

Regional white matter decreases in alzheimer's disease using optimized voxel-based morphometry

Tianzi Jiang, Feng Shi, Fang Pu, 2008, Acta radiologica.

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.

Correction: Family Poverty Affects the Rate of Human Infant Brain Growth

John H. Gilmore, Feng Shi, Jamie L. Hanson, 2015, PloS one.

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.

Surface Vulnerability of Cerebral Cortex to Major Depressive Disorder

Dinggang Shen, Jun Liu, Feng Shi, 2015, PloS one.

Mapping longitudinal hemispheric structural asymmetries of the human cerebral cortex from birth to 2 years of age.

Dinggang Shen, Li Wang, Feng Shi, 2014, Cerebral cortex.

Longitudinal development of cortical thickness, folding, and fiber density networks in the first 2 years of life

Dinggang Shen, Li Wang, Feng Shi, 2014, Human brain mapping.

Altered Modular Organization of Structural Cortical Networks in Children with Autism

Dinggang Shen, Feng Shi, Chong-Yaw Wee, 2013, PloS one.

Consistent 4 D Cortical Thickness Measurement for Longitudinal Neuroimaging Study

Dinggang Shen, Yaping Wang, Feng Shi, 2011 .