Shape Analysis of Human Brain with Cognitive Disorders. - Tianzi Jiang; Feng Shi 001; Wanlin Zhu; Shuyu Li; Xiaobo Li (HCI (12), 2007)

Regional Homogeneity and Anatomical Parcellation for fMRI Image Classification: Application to Schizophrenia and Normal Controls. - Feng Shi 001; Yong Liu 002; Tianzi Jiang; Yuan Zhou 009; Wanlin Zhu; Jiefeng Jiang; Haihong Liu; Zhening Liu (MICCAI (2), 2007)

A Surface-Based Fractal Information Dimension Method for Cortical Complexity Analysis. - Yuanchao Zhang; Jiefeng Jiang; Lei Lin; Feng Shi 001; Yuan Zhou 009; Chunshui Yu; Kuncheng Li; Tianzi Jiang (MIAR, 2008)

Cortical enhanced tissue segmentation of neonatal brain MR images acquired by a dedicated phased array coil. - Feng Shi 001; Pew-Thian Yap; Yong Fan 001; Jie-Zhi Cheng; Lawrence L. Wald; Guido Gerig; Weili Lin; Dinggang Shen (CVPR Workshops, 2009)

Brain tissue segmentation of neonatal MR images using a longitudinal subject-specific probabilistic atlas. - Feng Shi 001; Yong Fan 001; Songyuan Tang; John H. Gilmore; Weili Lin; Dinggang Shen (Image Processing, 2009)

Neonatal brain MRI segmentation by building multi-region-multireference atlases. - Feng Shi 001; Pew-Thian Yap; Yong Fan 001; John H. Gilmore; Weili Lin; Dinggang Shen (ISBI, 2010)

Spatial-Temporal Constraint for Segmentation of Serial Infant Brain MR Images. - Feng Shi 001; Pew-Thian Yap; John H. Gilmore; Weili Lin; Dinggang Shen (MIAR, 2010)

Automatic Segmentation of Neonatal Images Using Convex Optimization and Coupled Level Set Method. - Li Wang 026; Feng Shi 001; John H. Gilmore; Weili Lin; Dinggang Shen (MIAR, 2010)

Multiple Cortical Surface Correspondence Using Pairwise Shape Similarity. - Pahal Dalal; Feng Shi 001; Dinggang Shen; Song Wang 002 (MICCAI (1), 2010)

The Alzheimer's Disease Neuroimaging Initiative: Consistent 4D Cortical Thickness Measurement for Longitudinal Neuroimaging Study. - Yang Li 010; Yaping Wang; Zhong Xue; Feng Shi 001; Weili Lin; Dinggang Shen (MICCAI (2), 2010)

Neonatal brain image segmentation in longitudinal MRI studies. - Feng Shi 001; Yong Fan 001; Songyuan Tang; John H. Gilmore; Weili Lin; Dinggang Shen (NeuroImage, 2010)

Construction of multi-region-multi-reference atlases for neonatal brain MRI segmentation. - Feng Shi 001; Pew-Thian Yap; Yong Fan 001; John H. Gilmore; Weili Lin; Dinggang Shen (NeuroImage, 2010)

Learning-Based Meta-Algorithm for MRI Brain Extraction. - Feng Shi 001; Li Wang 026; John H. Gilmore; Weili Lin; Dinggang Shen (MICCAI (3), 2011)

Robust Deformable-Surface-Based Skull-Stripping for Large-Scale Studies. - Yaping Wang; Jingxin Nie; Pew-Thian Yap; Feng Shi 001; Lei Guo 002; Dinggang Shen (MICCAI (3), 2011)

Accurate and Consistent 4D Segmentation of Serial Infant Brain MR Images. - Li Wang 026; Feng Shi 001; Pew-Thian Yap; John H. Gilmore; Weili Lin; Dinggang Shen (MBIA, 2011)

Brain anatomical networks in early human brain development. - Yong Fan 001; Feng Shi 001; Jeffrey Keith Smith; Weili Lin; John H. Gilmore; Dinggang Shen (NeuroImage, 2011)

Sex differences in grey matter atrophy patterns among AD and aMCI patients: Results from ADNI. - Martha Skup; Hongtu Zhu; Yaping Wang; Kelly S. Giovanello; Ja-an Lin; Dinggang Shen; Feng Shi 001; Wei Gao; Weili Lin; Yong Fan 001; Heping Zhang (NeuroImage, 2011)

Automatic segmentation of neonatal images using convex optimization and coupled level sets. - Li Wang 026; Feng Shi 001; Weili Lin; John H. Gilmore; Dinggang Shen (NeuroImage, 2011)

Atlas Construction via Dictionary Learning and Group Sparsity. - Feng Shi 001; Li Wang 026; Guorong Wu 001; Yu Zhang; Manhua Liu; John H. Gilmore; Weili Lin; Dinggang Shen (MICCAI (1), 2012)

4D Segmentation of Longitudinal Brain MR Images with Consistent Cortical Thickness Measurement. - Li Wang 026; Feng Shi 001; Gang Li 001; Dinggang Shen (STIA, 2012)

LABEL: Pediatric brain extraction using learning-based meta-algorithm. - Feng Shi 001; Li Wang 026; Yakang Dai; John H. Gilmore; Weili Lin; Dinggang Shen (NeuroImage, 2012)

Altered structural connectivity in neonates at genetic risk for schizophrenia: A combined study using morphological and white matter networks. - Feng Shi 001; Pew-Thian Yap; Wei Gao; Weili Lin; John H. Gilmore; Dinggang Shen (NeuroImage, 2012)

Measuring longitudinally dynamic cortex development in infants by reconstruction of consistent cortical surfaces. - Gang Li 001; Jingxin Nie; Li Wang 026; Feng Shi 001; John H. Gilmore; Weili Lin; Dinggang Shen (ISBI, 2013)

Patch-driven neonatal brain MRI segmentation with sparse representation and level sets. - Li Wang 026; Feng Shi 001; Gang Li 001; Weili Lin; John H. Gilmore; Dinggang Shen (ISBI, 2013)

Multi-atlas Based Simultaneous Labeling of Longitudinal Dynamic Cortical Surfaces in Infants. - Gang Li 001; Li Wang 026; Feng Shi 001; Weili Lin; Dinggang Shen (MICCAI (1), 2013)

Low-Rank Total Variation for Image Super-Resolution. - Feng Shi 001; Jian Cheng 002; Li Wang 026; Pew-Thian Yap; Dinggang Shen (MICCAI (1), 2013)

Automated Segmentation of CBCT Image Using Spiral CT Atlases and Convex Optimization. - Li Wang 026; Ken-Chung Chen; Feng Shi 001; Shu Liao; Gang Li 001; Yaozong Gao; Steve G. Shen; Jin Yan; Philip K. M. Lee; Ben Chow; Nancy X. Liu; James J. Xia; et al. (MICCAI (3), 2013)

Integration of Sparse Multi-modality Representation and Geometrical Constraint for Isointense Infant Brain Segmentation. - Li Wang 026; Feng Shi 001; Gang Li 001; Weili Lin; John H. Gilmore; Dinggang Shen (MICCAI (1), 2013)

iBEAT: A Toolbox for Infant Brain Magnetic Resonance Image Processing. - Yakang Dai; Feng Shi 001; Li Wang 026; Guorong Wu 001; Dinggang Shen (Neuroinformatics, 2013)

Prediction of Standard-Dose PET Image by Low-Dose PET and MRI Images. - Jiayin Kang; Yaozong Gao; Yao Wu; Guangkai Ma; Feng Shi 001; Weili Lin; Dinggang Shen (MLMI, 2014)

Constructing 4D Infant Cortical Surface Atlases Based on Dynamic Developmental Trajectories of the Cortex. - Gang Li 001; Li Wang 026; Feng Shi 001; Weili Lin; Dinggang Shen (MICCAI (3), 2014)

Longitudinal Guided Super-Resolution Reconstruction of Neonatal Brain MR Images. - Feng Shi 001; Jian Cheng 002; Li Wang 026; Pew-Thian Yap; Dinggang Shen (STIA, 2014)

Simultaneous and consistent labeling of longitudinal dynamic developing cortical surfaces in infants. - Gang Li 001; Li Wang 026; Feng Shi 001; Weili Lin; Dinggang Shen (Medical Image Anal., 2014)

Measuring the dynamic longitudinal cortex development in infants by reconstruction of temporally consistent cortical surfaces. - Gang Li 001; Jingxin Nie; Li Wang 026; Feng Shi 001; John H. Gilmore; Weili Lin; Dinggang Shen (NeuroImage, 2014)

Integration of sparse multi-modality representation and anatomical constraint for isointense infant brain MR image segmentation. - Li Wang 026; Feng Shi 001; Yaozong Gao; Gang Li 001; John H. Gilmore; Weili Lin; Dinggang Shen (NeuroImage, 2014)

Segmentation of neonatal brain MR images using patch-driven level sets. - Li Wang 026; Feng Shi 001; Gang Li 001; Yaozong Gao; Weili Lin; John H. Gilmore; Dinggang Shen (NeuroImage, 2014)

Automated Segmentation of CBCT Image with Prior-Guided Sequential Random Forest. - Li Wang 026; Yaozong Gao; Feng Shi 001; Gang Li 001; Ken-Chung Chen; Zhen Tang; James J. Xia; Dinggang Shen (MCV@MICCAI, 2015)

Joint Feature-Sample Selection and Robust Classification for Parkinson's Disease Diagnosis. - Ehsan Adeli-Mosabbeb; Chong-Yaw Wee; Le An; Feng Shi 001; Dinggang Shen (MCV@MICCAI, 2015)

A Multi-level Canonical Correlation Analysis Scheme for Standard-Dose PET Image Estimation. - Le An; Pei Zhang 002; Ehsan Adeli-Mosabbeb; Yan Wang 015; Guangkai Ma; Feng Shi 001; David S. Lalush; Weili Lin; Dinggang Shen (Patch-MI@MICCAI, 2015)

Hierarchical Reconstruction of 7T-like Images from 3T MRI Using Multi-level CCA and Group Sparsity. - Khosro Bahrami; Feng Shi 001; Xiaopeng Zong; Hae Won Shin; Hongyu An; Dinggang Shen (MICCAI (2), 2015)

Identification of Infants at Risk for Autism Using Multi-parameter Hierarchical White Matter Connectomes. - Yan Jin 001; Chong-Yaw Wee; Feng Shi 001; Kim-Han Thung; Pew-Thian Yap; Dinggang Shen (MLMI, 2015)

Improving Accuracy of Automatic Hippocampus Segmentation in Routine MRI by Features Learned from Ultra-High Field MRI. - Shuyu Li; Feng Shi 001; Guangkai Ma; Minjeong Kim; Dinggang Shen (Patch-MI@MICCAI, 2015)

Isointense Infant Brain Segmentation by Stacked Kernel Canonical Correlation Analysis. - Li Wang 026; Feng Shi 001; Yaozong Gao; Gang Li 001; Weili Lin; Dinggang Shen (Patch-MI@MICCAI, 2015)

Space-Frequency Detail-Preserving Construction of Neonatal Brain Atlases. - Yuyao Zhang; Feng Shi 001; Pew-Thian Yap; Dinggang Shen (MICCAI (2), 2015)

Robust Feature-Sample Linear Discriminant Analysis for Brain Disorders Diagnosis. - Ehsan Adeli-Mosabbeb; Kim-Han Thung; Le An; Feng Shi 001; Dinggang Shen (NIPS, 2015)

Construction of 4D high-definition cortical surface atlases of infants: Methods and applications. - Gang Li 001; Li Wang 026; Feng Shi 001; John H. Gilmore; Weili Lin; Dinggang Shen (Medical Image Anal., 2015)

LINKS: Learning-based multi-source IntegratioN frameworK for Segmentation of infant brain images. - Li Wang 026; Yaozong Gao; Feng Shi 001; Gang Li 001; John H. Gilmore; Weili Lin; Dinggang Shen (NeuroImage, 2015)

7T-Guided Learning Framework for Improving the Segmentation of 3T MR Images. - Khosro Bahrami; Islem Rekik; Feng Shi 001; Yaozong Gao; Dinggang Shen (MICCAI (2), 2016)

Convolutional Neural Network for Reconstruction of 7T-like Images from 3T MRI Using Appearance and Anatomical Features. - Khosro Bahrami; Feng Shi 001; Islem Rekik; Dinggang Shen (LABELS/DLMIA@MICCAI, 2016)

Construction of Neonatal Diffusion Atlases via Spatio-Angular Consistency. - Behrouz Saghafi; Geng Chen 001; Feng Shi 001; Pew-Thian Yap; Dinggang Shen (Patch-MI@MICCAI, 2016)

LATEST: Local AdapTivE and Sequential Training for Tissue Segmentation of Isointense Infant Brain MR Images. - Li Wang 026; Yaozong Gao; Gang Li 001; Feng Shi 001; Weili Lin; Dinggang Shen (MCV/BAMBI@MICCAI, 2016)

Automatic Hippocampal Subfield Segmentation from 3T Multi-modality Images. - Zhengwang Wu; Yaozong Gao; Feng Shi 001; Valerie Jewells; Dinggang Shen (MLMI@MICCAI, 2016)

Joint feature-sample selection and robust diagnosis of Parkinson's disease from MRI data. - Ehsan Adeli 001; Feng Shi 001; Le An; Chong-Yaw Wee; Guorong Wu 001; Tao Wang; Dinggang Shen (NeuroImage, 2016)

Multi-Level Canonical Correlation Analysis for Standard-Dose PET Image Estimation. - Le An; Pei Zhang 002; Ehsan Adeli-Mosabbeb; Yan Wang 015; Guangkai Ma; Feng Shi 001; David S. Lalush; Weili Lin; Dinggang Shen (IEEE Trans. Image Process., 2016)

Reconstruction of 7T-Like Images From 3T MRI. - Khosro Bahrami; Feng Shi 001; Xiaopeng Zong; Hae Won Shin; Hongyu An; Dinggang Shen (IEEE Trans. Medical Imaging, 2016)

Consistent Spatial-Temporal Longitudinal Atlas Construction for Developing Infant Brains. - Yuyao Zhang; Feng Shi 001; Guorong Wu 001; Li Wang 026; Pew-Thian Yap; Dinggang Shen (IEEE Trans. Medical Imaging, 2016)

Joint Reconstruction and Segmentation of 7T-like MR Images from 3T MRI Based on Cascaded Convolutional Neural Networks. - Khosro Bahrami; Islem Rekik; Feng Shi 001; Dinggang Shen (MICCAI (1), 2017)

Semisupervised Tripled Dictionary Learning for Standard-Dose PET Image Prediction Using Low-Dose PET and Multimodal MRI. - Yan Wang 015; Guangkai Ma; Le An; Feng Shi 001; Pei Zhang 002; David S. Lalush; Xi Wu 004; Yi-Fei Pu; Jiliu Zhou; Dinggang Shen (IEEE Trans. Biomed. Eng., 2017)

Brain MRI super resolution using 3D deep densely connected neural networks. - Yuhua Chen; Yibin Xie; Zhengwei Zhou; Feng Shi 001; Anthony G. Christodoulou; Debiao Li (ISBI, 2018)

Calcium removal from cardiac ct images using deep convolutional neural network. - Siming Yan; Feng Shi 001; Yuhua Chen; Damini Dey; Sang-Eun Lee; Hyuk-Jae Chang; Debiao Li; Yibin Xie (ISBI, 2018)

On Quantifying Local Geometric Structures of Fiber Tracts. - Jian Cheng 002; Tao Liu 067; Feng Shi 001; Ruiliang Bai; Jicong Zhang; Haogang Zhu; Dacheng Tao; Peter J. Basser (MICCAI (3), 2018)

Efficient and Accurate MRI Super-Resolution Using a Generative Adversarial Network and 3D Multi-level Densely Connected Network. - Yuhua Chen; Feng Shi 001; Anthony G. Christodoulou; Yibin Xie; Zhengwei Zhou; Debiao Li (MICCAI (1), 2018)

Multimodal Brain Tumor Segmentation Using Cascaded V-Nets. - Rui Hua; Quan Huo; Yaozong Gao; Yu Sun; Feng Shi 001 (BrainLes@MICCAI (2), 2018)

Developing Novel Weighted Correlation Kernels for Convolutional Neural Networks to Extract Hierarchical Functional Connectivities from fMRI for Disease Diagnosis. - Biao Jie; Mingxia Liu 001; Chunfeng Lian; Feng Shi 001; Dinggang Shen (MLMI@MICCAI, 2018)

Volume-Based Analysis of 6-Month-Old Infant Brain MRI for Autism Biomarker Identification and Early Diagnosis. - Li Wang 026; Gang Li 001; Feng Shi 001; Xiaohuan Cao; Chunfeng Lian; Dong Nie; Mingxia Liu 001; Han Zhang 002; Guannan Li; Zhengwang Wu; Weili Lin; Dinggang Shen (MICCAI (3), 2018)

Registration-Free Infant Cortical Surface Parcellation Using Deep Convolutional Neural Networks. - Zhengwang Wu; Gang Li 001; Li Wang 026; Feng Shi 001; Weili Lin; John H. Gilmore; Dinggang Shen (MICCAI (3), 2018)

Multi-modal Neuroimaging Data Fusion via Latent Space Learning for Alzheimer's Disease Diagnosis. - Tao Zhou 002; Kim-Han Thung; Mingxia Liu 001; Feng Shi 001; Changqing Zhang; Dinggang Shen (PRIME@MICCAI, 2018)

Segmenting hippocampal subfields from 3T MRI with multi-modality images. - Zhengwang Wu; Yaozong Gao; Feng Shi 001; Guangkai Ma; Valerie Jewells; Dinggang Shen (Medical Image Anal., 2018)

Spatial and depth weighted neural network for diagnosis of Alzheimer's disease. - Qingfeng Li; Quan Huo; Xiaodan Xing; Yiqiang Zhan; Xiang Sean Zhou; Feng Shi 001 (Computer-Aided Diagnosis, 2019)

Diagnosis of OCD using functional connectome and Riemann kernel PCA. - Xiaodan Xing; Lili Jin; Feng Shi 001; Ziwen Peng (Computer-Aided Diagnosis, 2019)

Novel Iterative Attention Focusing Strategy for Joint Pathology Localization and Prediction of MCI Progression. - Qingfeng Li; Xiaodan Xing; Ying Sun; Bin Xiao; Hao Wei; Quan Huo; Minqing Zhang; Xiang Sean Zhou; Yiqiang Zhan; Zhong Xue; Feng Shi 001 (MICCAI (4), 2019)

Regression-Based Line Detection Network for Delineation of Largely Deformed Brain Midline. - Hao Wei; Xiangyu Tang; Minqing Zhang; Qingfeng Li; Xiaodan Xing; Xiang Sean Zhou; Zhong Xue; Wenzhen Zhu; Zailiang Chen 001; Feng Shi 001 (MICCAI (3), 2019)

Weakly Supervised Confidence Learning for Brain MR Image Dense Parcellation. - Bin Xiao; Xiaoqing Cheng; Qingfeng Li; Qian Wang 001; Lichi Zhang; Dongming Wei; Yiqiang Zhan; Xiang Sean Zhou; Zhong Xue; Guangming Lu 001; Feng Shi 001 (MLMI@MICCAI, 2019)

Dynamic Spectral Graph Convolution Networks with Assistant Task Training for Early MCI Diagnosis. - Xiaodan Xing; Qingfeng Li; Hao Wei; Minqing Zhang; Yiqiang Zhan; Xiang Sean Zhou; Zhong Xue; Feng Shi 001 (MICCAI (4), 2019)

Dilated Dense U-Net for Infant Hippocampus Subfield Segmentation. - Hancan Zhu; Feng Shi 001; Li Wang 026; Sheng-Che Hung; Meng-Hsiang Chen; Shuai Wang 002; Weili Lin; Dinggang Shen (Frontiers Neuroinformatics, 2019)

Computational neuroanatomy of baby brains: A review. - Gang Li 001; Li Wang 026; Pew-Thian Yap; Fan Wang 023; Zhengwang Wu; Yu Meng 003; Pei Dong; Jaeil Kim; Feng Shi 001; Islem Rekik; Weili Lin; Dinggang Shen (NeuroImage, 2019)

Semi-Supervised Discriminative Classification Robust to Sample-Outliers and Feature-Noises. - Ehsan Adeli 001; Kim-Han Thung; Le An; Guorong Wu 001; Feng Shi 001; Tao Wang; Dinggang Shen (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Intracranial Vessel Wall Segmentation Using Convolutional Neural Networks. - Feng Shi 001; Qi Yang; Xiuhai Guo; Touseef Ahmad Qureshi; Zixiao Tian; Huijuan Miao; Damini Dey; Debiao Li; Zhaoyang Fan (IEEE Trans. Biomed. Eng., 2019)

Longitudinally Guided Super-Resolution of Neonatal Brain Magnetic Resonance Images. - Yongqin Zhang; Feng Shi 001; Jian Cheng 002; Li Wang 026; Pew-Thian Yap; Dinggang Shen (IEEE Trans. Cybern., 2019)

Modeling Heterogeneity in Feature Selection for MCI Classification. - Wei Zhu 015; Feng Shi 001; Jiebo Luo 001 (ISBI, 2020)

Two-Stage Mapping-Segmentation Framework for Delineating COVID-19 Infections from Heterogeneous CT Images. - Tong Li; Zhuochen Wang; Yanbo Chen; Lichi Zhang; Yaozong Gao; Feng Shi 001; Dahong Qian; Qian Wang 001; Dinggang Shen (TIA@MICCAI, 2020)

Joint Appearance-Feature Domain Adaptation: Application to QSM Segmentation Transfer. - Bin Xiao; Naying He; Qian Wang 001; Zhong Xue; Lei Chen 011; Fuhua Yan; Feng Shi 001; Dinggang Shen (MLMI@MICCAI, 2020)

Detection of Discriminative Neurological Circuits Using Hierarchical Graph Convolutional Networks in fMRI Sequences. - Xiaodan Xing; Lili Jin; Qinfeng Li; Lei Chen 011; Zhong Xue; Ziwen Peng; Feng Shi 001; Dinggang Shen (UNSURE/GRAIL@MICCAI, 2020)

Graph Convolutional Network Based Point Cloud for Head and Neck Vessel Labeling. - Linlin Yao; Pengbo Jiang; Zhong Xue; Yiqiang Zhan; Dijia Wu; Lichi Zhang; Qian Wang 001; Feng Shi 001; Dinggang Shen (MLMI@MICCAI, 2020)

Ischemic Stroke Segmentation from CT Perfusion Scans Using Cluster-Representation Learning. - Jianyuan Zhang; Feng Shi 001; Lei Chen 011; Zhong Xue; Lichi Zhang; Dahong Qian (MLCN/RNO-AI@MICCAI, 2020)

MRI Super-Resolution with GAN and 3D Multi-Level DenseNet: Smaller, Faster, and Better. - Yuhua Chen; Anthony G. Christodoulou; Zhengwei Zhou; Feng Shi 001; Yibin Xie; Debiao Li (CoRR, 2020)

Large-Scale Screening of COVID-19 from Community Acquired Pneumonia using Infection Size-Aware Classification. - Feng Shi 001; Liming Xia; Fei Shan; Dijia Wu; Ying Wei 009; Huan Yuan; Huiting Jiang; Yaozong Gao; He Sui; Dinggang Shen (CoRR, 2020)

Severity Assessment of Coronavirus Disease 2019 (COVID-19) Using Quantitative Features from Chest CT Images. - Zhenyu Tang 002; Wei Zhao 040; Xingzhi Xie; Zheng Zhong; Feng Shi 001; Jun Liu 075; Dinggang Shen (CoRR, 2020)

Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19. - Feng Shi 001; Jun Wang 024; Jun Shi 004; Ziyan Wu 001; Qian Wang 001; Zhenyu Tang 002; Kelei He; Yinghuan Shi; Dinggang Shen (CoRR, 2020)

Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification with Chest CT. - Liang Sun 009; Zhanhao Mo; Fuhua Yan; Liming Xia; Fei Shan; Zhongxiang Ding; Wei Shao 005; Feng Shi 001; Huan Yuan; Huiting Jiang; Dijia Wu; Ying Wei 009; et al. (CoRR, 2020)

Synergistic Learning of Lung Lobe Segmentation and Hierarchical Multi-Instance Classification for Automated Severity Assessment of COVID-19 in CT Images. - Kelei He; Wei Zhao 040; Xingzhi Xie; Wen Ji; Mingxia Liu 001; Zhenyu Tang 002; Feng Shi 001; Yang Gao 001; Jun Liu 075; Junfeng Zhang; Dinggang Shen (CoRR, 2020)

Hypergraph Learning for Identification of COVID-19 with CT Imaging. - Donglin Di; Feng Shi 001; Fuhua Yan; Liming Xia; Zhanhao Mo; Zhongxiang Ding; Fei Shan; Shengrui Li; Ying Wei 009; Ying Shao; Miaofei Han; Yaozong Gao; et al. (CoRR, 2020)

Assessing Road Traffic Safety During COVID-19: Inequality, Irregularity, and Severity. - Lei Lin; Feng Shi 001; Weizi Li (CoRR, 2020)

Segmenting Brain Tumor Using Cascaded V-Nets in Multimodal MR Images. - Rui Hua; Quan Huo; Yaozong Gao; He Sui; Bing Zhang; Yu Sun; Zhanhao Mo; Feng Shi 001 (Frontiers Comput. Neurosci., 2020)

Designing weighted correlation kernels in convolutional neural networks for functional connectivity based brain disease diagnosis. - Biao Jie; Mingxia Liu 001; Chunfeng Lian; Feng Shi 001; Dinggang Shen (Medical Image Anal., 2020)

Multi-modal latent space inducing ensemble SVM classifier for early dementia diagnosis with neuroimaging data. - Tao Zhou 002; Kim-Han Thung; Mingxia Liu 001; Feng Shi 001; Changqing Zhang; Dinggang Shen (Medical Image Anal., 2020)

FCN Based Label Correction for Multi-Atlas Guided Organ Segmentation. - Hancan Zhu; Ehsan Adeli 001; Feng Shi 001; Dinggang Shen (Neuroinformatics, 2020)

Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification With Chest CT. - Liang Sun 009; Zhanhao Mo; Fuhua Yan; Liming Xia; Fei Shan; Zhongxiang Ding; Bin Song 002; Wanchun Gao; Wei Shao 005; Feng Shi 001; Huan Yuan; Huiting Jiang; et al. (IEEE J. Biomed. Health Informatics, 2020)

Diagnosis of Coronavirus Disease 2019 (COVID-19) With Structured Latent Multi-View Representation Learning. - Hengyuan Kang; Liming Xia; Fuhua Yan; Zhibin Wan; Feng Shi 001; Huan Yuan; Huiting Jiang; Dijia Wu; He Sui; Changqing Zhang; Dinggang Shen (IEEE Trans. Medical Imaging, 2020)

Dual-Sampling Attention Network for Diagnosis of COVID-19 From Community Acquired Pneumonia. - Xi Ouyang; Jiayu Huo; Liming Xia; Fei Shan; Jun Liu 075; Zhanhao Mo; Fuhua Yan; Zhongxiang Ding; Qi Yang; Bin Song 002; Feng Shi 001; Huan Yuan; et al. (IEEE Trans. Medical Imaging, 2020)

Multi-Task Learning for False-Positive Reduction and Segmentation of Cerebral Aneurysms in CTA Scans. - Heng Lin; Yuanfang Qiao; Feng Shi 001; Dahong Qian; Na Hu; Lizhou Chen; Bin Song 002; Ke Wu; Lichi Zhang (CISP-BMEI, 2021)

SMILE: Sparse-Attention based Multiple Instance Contrastive Learning for Glioma Sub-Type Classification Using Pathological Images. - Mengkang Lu; Yongsheng Pan; Dong Nie; Feihong Liu; Feng Shi 001; Yong Xia 001; Dinggang Shen (COMPAY@MICCAI, 2021)

A Multi-scale Graph Network with Multi-head Attention for Histopathology Image Diagnosisn. - Xiaodan Xing; Yixin Ma; Lei Jin 006; Tianyang Sun; Zhong Xue; Feng Shi 001; Jinsong Wu 002; Dinggang Shen (COMPAY@MICCAI, 2021)

Diagnosis of Hippocampal Sclerosis from Clinical Routine Head MR Images Using Structure-constrained Super-Resolution Network. - Zehong Cao; Feng Shi 001; Qiang Xu; Gaoping Liu; Tianyang Sun; Xiaodan Xing; Yichu He; Guangming Lu 001; Zhiqiang Zhang; Dinggang Shen (MLMI@MICCAI, 2021)

VertNet: Accurate Vertebra Localization and Identification Network from CT Images. - Zhiming Cui; Changjian Li 001; Lei Yang 048; Chunfeng Lian; Feng Shi 001; Wenping Wang 001; Dijia Wu; Dinggang Shen (MICCAI (5), 2021)

Building Dynamic Hierarchical Brain Networks and Capturing Transient Meta-states for Early Mild Cognitive Impairment Diagnosis. - Mianxin Liu; Han Zhang 002; Feng Shi 001; Dinggang Shen (MICCAI (7), 2021)

Consistent Segmentation of Longitudinal Brain MR Images with Spatio-Temporal Constrained Networks. - Jie Wei; Feng Shi 001; Zhiming Cui; Yongsheng Pan; Yong Xia 001; Dinggang Shen (MICCAI (1), 2021)

Confidence-Aware Cascaded Network for Fetal Brain Segmentation on MR Images. - Xukun Zhang; Zhiming Cui; Changan Chen; Jie Wei; Jingjiao Lou; Wenxin Hu; He Zhang; Tao Zhou 002; Feng Shi 001; Dinggang Shen (MICCAI (3), 2021)

Computing infection distributions and longitudinal evolution patterns in lung CT images. - Dongdong Gu; Liyun Chen; Fei Shan; Liming Xia; Jun Liu 075; Zhanhao Mo; Fuhua Yan; Bin Song 002; Yaozong Gao; Xiaohuan Cao; Yanbo Chen; Ying Shao; et al. (BMC Medical Imaging, 2021)

GACDN: generative adversarial feature completion and diagnosis network for COVID-19. - Qi Zhu 001; Haizhou Ye; Liang Sun 009; Zhongnian Li; Ran Wang 002; Feng Shi 001; Dinggang Shen; Daoqiang Zhang (BMC Medical Imaging, 2021)

Differentiation between COVID-19 and bacterial pneumonia using radiomics of chest computed tomography and clinical features. - Junbang Feng; Yi Guo; Shike Wang; Feng Shi 001; Ying Wei 009; Yichu He; Ping Zeng; Jun Liu 075; Wenjing Wang; Liping Lin; Qingning Yang; Chuanming Li; et al. (Int. J. Imaging Syst. Technol., 2021)

Hypergraph learning for identification of COVID-19 with CT imaging. - Donglin Di; Feng Shi 001; Fuhua Yan; Liming Xia; Zhanhao Mo; Zhongxiang Ding; Fei Shan; Bin Song 002; Shengrui Li; Ying Wei 009; Ying Shao; Miaofei Han; et al. (Medical Image Anal., 2021)

A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning. - Zekun Li 010; Wei Zhao 040; Feng Shi 001; Lei Qi 001; Xingzhi Xie; Ying Wei 009; Zhongxiang Ding; Yang Gao 001; Shangjie Wu; Jun Liu 075; Yinghuan Shi; Dinggang Shen (Medical Image Anal., 2021)

Joint prediction and time estimation of COVID-19 developing severe symptoms using chest CT scan. - Xiaofeng Zhu 001; Bin Song 002; Feng Shi 001; Yanbo Chen; Rongyao Hu; Jiangzhang Gan; Wenhai Zhang; Man Li; Liye Wang; Yaozong Gao; Fei Shan; Dinggang Shen (Medical Image Anal., 2021)

Recycling diagnostic MRI for empowering brain morphometric research - Critical & practical assessment on learning-based image super-resolution. - Gaoping Liu; Zehong Cao; Qiang Xu; Qirui Zhang 004; Fang Yang; Xinyu Xie; Jingru Hao; Yinghuan Shi; Boris C. Bernhardt; Yichu He; Feng Shi 001; Guangming Lu 001; et al. (NeuroImage, 2021)

Synergistic learning of lung lobe segmentation and hierarchical multi-instance classification for automated severity assessment of COVID-19 in CT images. - Kelei He; Wei Zhao 040; Xingzhi Xie; Wen Ji; Mingxia Liu 001; Zhenyu Tang 002; Yinghuan Shi; Feng Shi 001; Yang Gao 001; Jun Liu 075; Junfeng Zhang; Dinggang Shen (Pattern Recognit., 2021)

Multi-scale and Focal Region Based Deep Learning Network for Fine Brain Parcellation. - Yuyan Ge; Zhenyu Tang 002; Lei Ma 006; Caiwen Jiang; Feng Shi 001; Shaoyi Du; Dinggang Shen (MLMI@MICCAI, 2022)

Modular Graph Encoding and Hierarchical Readout for Functional Brain Network Based eMCI Diagnosis. - Lang Mei; Mianxin Liu; Lingbin Bian; Yuyao Zhang; Feng Shi 001; Han Zhang 002; Dinggang Shen (ISGIE/GRAIL@MICCAI, 2022)

CSGAN: Synthesis-Aided Brain MRI Segmentation on 6-Month Infants. - Xin Tang; Jiadong Zhang; Yongsheng Pan; Yuyao Zhang; Feng Shi 001 (DALI@MICCAI, 2022)

TaG-Net: Topology-Aware Graph Network for Vessel Labeling. - Linlin Yao; Zhong Xue; Yiqiang Zhan; Lizhou Chen; Yuntian Chen; Bin Song 002; Qian Wang 001; Feng Shi 001; Dinggang Shen (ISGIE/GRAIL@MICCAI, 2022)

Head and Neck Vessel Segmentation with Connective Topology Using Affinity Graph. - Linlin Yao; Zhong Xue; Yiqiang Zhan; Lizhou Chen; Yuntian Chen; Bin Song 002; Qian Wang 001; Feng Shi 001; Dinggang Shen (MLMI@MICCAI, 2022)

Application value of a deep learning method based on a 3D V-Net convolutional neural network in the recognition and segmentation of the auditory ossicles. - Xing-Rui Wang; Xi Ma; Liu-Xu Jin; Yan-Jun Gao; Yong-Jie Xue; Jing-Long Li; Wei-Xian Bai; Miao-fei Han; Qing Zhou; Feng Shi 001; Jing Wang (Frontiers Neuroinformatics, 2022)

Task-Induced Pyramid and Attention GAN for Multimodal Brain Image Imputation and Classification in Alzheimer's Disease. - Xingyu Gao; Feng Shi 001; Dinggang Shen; Manhua Liu (IEEE J. Biomed. Health Informatics, 2022)

Semi-Supervised Deep Transfer Learning for Benign-Malignant Diagnosis of Pulmonary Nodules in Chest CT Images. - Feng Shi 001; Bojiang Chen; Qiqi Cao; Ying Wei 009; Qing Zhou; Rui Zhang; Yaojie Zhou; Wenjie Yang; Xiang Wang; Rongrong Fan; Fan Yang 054; Yanbo Chen; et al. (IEEE Trans. Medical Imaging, 2022)

Cross-Site Severity Assessment of COVID-19 From CT Images via Domain Adaptation. - Gengxin Xu; Chen Liu 026; Jun Liu 075; Zhongxiang Ding; Feng Shi 001; Man Guo; Wei Zhao 040; Xiaoming Li; Ying Wei 009; Yaozong Gao; Chuan-Xian Ren; Dinggang Shen (IEEE Trans. Medical Imaging, 2022)

MT-NeT: Multi-Modality Transfer Learning Network for Automated Carotid Vessel Wall Segmentation using Sparse Annotation in MRI. - Xibao Li; Xi Ouyang; Jiadong Zhang; Dongdong Gu; Zehong Cao; Zhongxiang Ding; Yiqiang Zhan; Xiang Sean Zhou; Zhong Xue; Yuyao Zhang; Feng Shi 001; Dinggang Shen (ISBI, 2023)

Mining Fmri Dynamics with Parcellation Prior for Brain Disease Diagnosis. - Xiaozhao Liu; Mianxin Liu; Lang Mei; Yuyao Zhang; Feng Shi 001; Han Zhang 002; Dinggang Shen (ISBI, 2023)

Multi-Scale Supervised Contrastive Learning for Benign-Malignant Classification of Pulmonary Nodules in Chest Ct Scans. - Xiaoxian Xu; Ying Wei 009; Jie Zheng; Zhongxiang Ding; Yiqiang Zhan; Xiang Sean Zhou; Zhong Xue; Feng Shi 001; Dinggang Shen (ISBI, 2023)

Self-Supervised Arbitrary Scale Super-Resolution Framework for Anisotropic MRI. - Haonan Zhang; Yuhan Zhang; Qing Wu 001; Jiangjie Wu; Zhiming Zhen; Feng Shi 001; Jianmin Yuan; Hongjiang Wei; Chen Liu 026; Yuyao Zhang (ISBI, 2023)

Feature-Based Transformer with Incomplete Multimodal Brain Images for Diagnosis of Neurodegenerative Diseases. - Xingyu Gao; Feng Shi 001; Dinggang Shen; Manhua Liu (PRIME@MICCAI, 2023)

HENet: Hierarchical Enhancement Network for Pulmonary Vessel Segmentation in Non-contrast CT Images. - Wenqi Zhou; Xiao Zhang 028; Dongdong Gu; Sheng Wang 014; Jiayu Huo; Rui Zhang; Zhihao Jiang; Feng Shi 001; Zhong Xue; Yiqiang Zhan; Xi Ouyang; Dinggang Shen (MICCAI (3), 2023)

Identifying Alzheimer's Disease-Induced Topology Alterations in Structural Networks Using Convolutional Neural Networks. - Feihong Liu; Yongsheng Pan; Junwei Yang; Fang Xie; Xiaowei He; Han Zhang 002; Feng Shi 001; Jun Feng 003; Qihao Guo; Dinggang Shen (MLMI@MICCAI (2), 2023)

Consistent and Accurate Segmentation for Serial Infant Brain MR Images with Registration Assistance. - Yuhang Sun; Jiameng Liu; Feihong Liu; Kaicong Sun; Han Zhang 002; Feng Shi 001; Qianjin Feng; Dinggang Shen (MLMI@MICCAI (1), 2023)

FAST-Net: A Coarse-to-fine Pyramid Network for Face-Skull Transformation. - Lei Zhao; Lei Ma 006; Zhiming Cui; Jie Zheng; Zhong Xue; Feng Shi 001; Dinggang Shen (MLMI@MICCAI (2), 2023)

Modeling Life-Span Brain Age from Large-Scale Dataset Based on Multi-level Information Fusion. - Nan Zhao; Yongsheng Pan; Kaicong Sun; Yuning Gu; Mianxin Liu; Zhong Xue; Han Zhang 002; Qing Yang; Fei Gao 010; Feng Shi 001; Dinggang Shen (MLMI@MICCAI (2), 2023)

Deep learning reveals the common spectrum underlying multiple brain disorders in youth and elders from brain functional networks. - Mianxin Liu; Jingyang Zhang; Yao Wang; Yan Zhou; Fang Xie; Qihao Guo; Feng Shi 001; Han Zhang 002; Qian Wang 001; Dinggang Shen (CoRR, 2023)

Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge. - Yang Nan 002; Xiaodan Xing; Shiyi Wang; Zeyu Tang 001; Federico N. Felder; Sheng Zhang 024; Roberta Eufrasia Ledda; Xiaoliu Ding; Ruiqi Yu; Weiping Liu; Feng Shi 001; Tianyang Sun; et al. (CoRR, 2023)

Structural Attention Graph Neural Network for Diagnosis and Prediction of COVID-19 Severity. - Yanbei Liu; Henan Li; Tao Luo 010; Changqing Zhang; Zhitao Xiao; Ying Wei 009; Yaozong Gao; Feng Shi 001; Fei Shan; Dinggang Shen (IEEE Trans. Medical Imaging, 2023)

Segment aorta and localize landmarks simultaneously on noncontrast CT using a multitask learning framework for patients without severe vascular disease. - Jinrong Yang; Xiang Li; Jie-Zhi Cheng; Zhong Xue; Feng Shi 001; Yuqing Ji; Xuechun Wang; Fan Yang 054 (Comput. Biol. Medicine, 2023)

Semi-Supervised Multi-View Fusion for Identifying CAP and COVID-19 With Unlabeled CT Images. - Qi Zhu 001; Yuze Zhou; Yuan Yao; Liang Sun 009; Feng Shi 001; Wei Shao 005; Daoqiang Zhang; Dinggang Shen (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

Discrimination Between Glioblastoma and Solitary Brain Metastasis Using Conventional MRI and Diffusion-Weighted Imaging Based on a Deep Learning Algorithm. - Qingqing Yan; Fuyan Li; Yi Cui; Yong Wang; Xiao Wang; Wenjing Jia; Xinhui Liu; Yuting Li; Huan Chang; Feng Shi 001; Yuwei Xia; Qing Zhou; et al. (J. Digit. Imaging, 2023)

Brain Status Transferring Generative Adversarial Network for Decoding Individualized Atrophy in Alzheimer's Disease. - Xingyu Gao; Hongrui Liu; Feng Shi 001; Dinggang Shen; Manhua Liu (IEEE J. Biomed. Health Informatics, 2023)

Individualized Assessment of Brain Aβ Deposition With fMRI Using Deep Learning. - Chaolin Li; Mianxin Liu; Jing Xia; Lang Mei; Qing Yang; Feng Shi 001; Han Zhang 002; Dinggang Shen (IEEE J. Biomed. Health Informatics, 2023)

TaG-Net: Topology-Aware Graph Network for Centerline-Based Vessel Labeling. - Linlin Yao; Feng Shi 001; Sheng Wang 014; Xiao Zhang 028; Zhong Xue; Xiaohuan Cao; Yiqiang Zhan; Lizhou Chen; Yuntian Chen; Bin Song 002; Qian Wang 001; Dinggang Shen (IEEE Trans. Medical Imaging, 2023)

Multimodal transformer network for incomplete image generation and diagnosis of Alzheimer's disease. - Xingyu Gao; Feng Shi 001; Dinggang Shen; Manhua Liu (Comput. Medical Imaging Graph., 2023)

Prompt-Based Segmentation Model of Anatomical Structures and Lesions in CT Images. - Xi Ouyang; Dongdong Gu; Xuejian Li; Wenqi Zhou; Qianqian Chen; Yiqiang Zhan; Xiang Sean Zhou; Feng Shi 001; Zhong Xue; Dinggang Shen (MICCAI (8), 2024)

Knowledge-Guided Prompt Learning for Lifespan Brain MR Image Segmentation. - Lin Teng; Zihao Zhao 002; Jiawei Huang; Zehong Cao; Runqi Meng; Feng Shi 001; Dinggang Shen (MICCAI (2), 2024)

Clinical Brain MRI Super-Resolution with 2D Slice-Wise Diffusion Model. - Runqi Wang; Zehong Cao; Yichu He; Jiameng Liu; Feng Shi 001; Dinggang Shen (MLMI@MICCAI (1), 2024)

Automatic detection of cognitive impairment in patients with white matter hyperintensity and causal analysis of related factors using artificial intelligence of MRI. - Junbang Feng; Dongming Hui; Qingqing Zheng; Yi Guo; Yuwei Xia; Feng Shi 001; Qing Zhou; Fei Yu; Xiaojing He; Shike Wang; Chuanming Li (Comput. Biol. Medicine, 2024)

Role of [18F]-PSMA-1007 PET radiomics for seminal vesicle invasion prediction in primary prostate cancer. - Liang Luo; Xinyi Wang; Hongjun Xie; Hua Liang; Jungang Gao; Yang Li 010; Yuwei Xia; Mengmeng Zhao; Feng Shi 001; Cong Shen; Xiaoyi Duan (Comput. Biol. Medicine, 2024)

Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge. - Yang Nan 002; Xiaodan Xing; Shiyi Wang; Zeyu Tang 001; Federico N. Felder; Sheng Zhang 024; Roberta Eufrasia Ledda; Xiaoliu Ding; Ruiqi Yu; Weiping Liu; Feng Shi 001; Tianyang Sun; et al. (Medical Image Anal., 2024)

Coarse-to-fine registration and time-intensity curves constraint for liver DCE-MRI synthesis. - Yuhang Sun; Yuning Gu; Feng Shi 001; Jiameng Liu; Guoqiang Li; Qianjin Feng; Dinggang Shen (Comput. Medical Imaging Graph., 2024)

Hierarchical Graph Convolutional Network Built by Multiscale Atlases for Brain Disorder Diagnosis Using Functional Connectivity. - Mianxin Liu; Han Zhang 002; Feng Shi 001; Dinggang Shen (IEEE Trans. Neural Networks Learn. Syst., 2024)

Application research on the diagnosis of classic trigeminal neuralgia based on VB-Net technology and radiomics. - Lei Pan; Xuechun Wang; Xiuhong Ge; Haiqi Ye; Xiaofen Zhu; Qi Feng; Haibin Wang; Feng Shi 001; Zhongxiang Ding (BMC Medical Imaging, 2024)

Carotid Vessel Wall Segmentation Through Domain Aligner, Topological Learning, and Segment Anything Model for Sparse Annotation in MR Images. - Xibao Li; Xi Ouyang; Jiadong Zhang; Zhongxiang Ding; Yuyao Zhang; Zhong Xue; Feng Shi 001; Dinggang Shen (IEEE Trans. Medical Imaging, 2024)

Segmentation of infarct lesions and prognosis prediction for acute ischemic stroke using non-contrast CT scans. - Xuechun Wang; Yuting Meng; Zhijian Dong; Zehong Cao; Yichu He; Tianyang Sun; Qing Zhou; Guozhong Niu; Zhongxiang Ding; Feng Shi 001; Dinggang Shen (Comput. Methods Programs Biomed., 2025)

AASeg: Artery-Aware Global-to-Local Framework for Aneurysm Segmentation in Head and Neck CTA Images. - Linlin Yao; Dongdong Chen 003; Xiangyu Zhao 003; Manman Fei; Zhiyun Song; Zhong Xue; Yiqiang Zhan; Bin Song 002; Feng Shi 001; Qian Wang 001; Dinggang Shen (IEEE Trans. Medical Imaging, 2025)

PathCoT: Chain-of-Thought Prompting for Zero-shot Pathology Visual Reasoning. - Junjie Zhou; Yingli Zuo; Feng Shi 001; Peng Wan 004; Qi Zhu 001; Daoqiang Zhang; Wei Shao 005 (CoRR, 2025)

Unified Model for Children's Brain Image Segmentation With Co-Registration Framework Guided by Longitudinal MRI. - Lin Teng; Yichu He; Zehong Cao; Rui Hua; Ye Han; Qianjin Feng; Feng Shi 001; Dinggang Shen (IEEE J. Biomed. Health Informatics, 2025)

Automatic recognition and differentiation of pulmonary contusion and bacterial pneumonia based on deep learning and radiomics. - Tie Deng; Junbang Feng; Xingyan Le; Yuwei Xia; Feng Shi 001; Fei Yu; Yiqiang Zhan; Xinghua Liu; Chuanming Li (BMC Medical Imaging, 2025)