Feng Shi - RankMe

176 papers B 1Journal 87Unranked 88

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	BrainSMM: Lifespan Brain Segmentation Model With Metadata-Driven Prompt Learning. IEEE Trans. Medical Imaging Lin Teng, Zihao Zhao, Yulin Wang, Feng Shi, Dinggang Shen
2025	—	`conf`	A Curvature-Guided Diffeomorphic Mesh Deformation Framework for Lifespan Brain Cortical Surface Reconstruction. MICCAI (1) Lin Teng, Shen Zhao, Feng Shi, Dinggang Shen
2025	J	`jnl`	AASeg: Artery-Aware Global-to-Local Framework for Aneurysm Segmentation in Head and Neck CTA Images. IEEE Trans. Medical Imaging Linlin Yao, Dongdong Chen, Xiangyu Zhao, Manman Fei, Zhiyun Song, Zhong Xue, Yiqiang Zhan, Bin Song, Feng Shi, Qian Wang, Dinggang Shen
2025	J	`jnl`	Automatic recognition and differentiation of pulmonary contusion and bacterial pneumonia based on deep learning and radiomics. BMC Medical Imaging Tie Deng, Junbang Feng, Xingyan Le, Yuwei Xia, Feng Shi, Fei Yu, Yiqiang Zhan, Xinghua Liu, Chuanming Li
2025	—	`conf`	Neuro-AMS: Neuro-Informed Age-Aware and Medical Knowledge-Integrated Strategy for Diagnosis of Multiple Brain Disorders. MICCAI (15) Zhenguo Zhang, Lin Teng, Nan Zhao, Yuxiao Liu, Zhaoyu Qiu, Zehao Weng, Jinwei Kong, Feng Shi, Dinggang Shen
2025	J	`jnl`	PathCoT: Chain-of-Thought Prompting for Zero-shot Pathology Visual Reasoning. CoRR Junjie Zhou, Yingli Zuo, Feng Shi, Peng Wan, Qi Zhu, Daoqiang Zhang, Wei Shao
2025	J	`jnl`	Segmentation of infarct lesions and prognosis prediction for acute ischemic stroke using non-contrast CT scans. Comput. Methods Programs Biomed. Xuechun Wang, Yuting Meng, Zhijian Dong, Zehong Cao, Yichu He, Tianyang Sun, Qing Zhou, Guozhong Niu, Zhongxiang Ding, Feng Shi, Dinggang Shen
2025	J	`jnl`	Unified Model for Children's Brain Image Segmentation With Co-Registration Framework Guided by Longitudinal MRI. IEEE J. Biomed. Health Informatics Lin Teng, Yichu He, Zehong Cao, Rui Hua, Ye Han, Qianjin Feng, Feng Shi, Dinggang Shen
2024	J	`jnl`	Application research on the diagnosis of classic trigeminal neuralgia based on VB-Net technology and radiomics. BMC Medical Imaging Lei Pan, Xuechun Wang, Xiuhong Ge, Haiqi Ye, Xiaofen Zhu, Qi Feng, Haibin Wang, Feng Shi, Zhongxiang Ding
2024	J	`jnl`	Automatic detection of cognitive impairment in patients with white matter hyperintensity and causal analysis of related factors using artificial intelligence of MRI. Comput. Biol. Medicine Junbang Feng, Dongming Hui, Qingqing Zheng, Yi Guo, Yuwei Xia, Feng Shi, Qing Zhou, Fei Yu, Xiaojing He, Shike Wang, Chuanming Li
2024	J	`jnl`	Carotid Vessel Wall Segmentation Through Domain Aligner, Topological Learning, and Segment Anything Model for Sparse Annotation in MR Images. IEEE Trans. Medical Imaging Xibao Li, Xi Ouyang, Jiadong Zhang, Zhongxiang Ding, Yuyao Zhang, Zhong Xue, Feng Shi, Dinggang Shen
2024	—	`conf`	Clinical Brain MRI Super-Resolution with 2D Slice-Wise Diffusion Model. MLMI@MICCAI (1) Runqi Wang, Zehong Cao, Yichu He, Jiameng Liu, Feng Shi, Dinggang Shen
2024	J	`jnl`	Coarse-to-fine registration and time-intensity curves constraint for liver DCE-MRI synthesis. Comput. Medical Imaging Graph. Yuhang Sun, Yuning Gu, Feng Shi, Jiameng Liu, Guoqiang Li, Qianjin Feng, Dinggang Shen
2024	J	`jnl`	Hierarchical Graph Convolutional Network Built by Multiscale Atlases for Brain Disorder Diagnosis Using Functional Connectivity. IEEE Trans. Neural Networks Learn. Syst. Mianxin Liu, Han Zhang, Feng Shi, Dinggang Shen
2024	J	`jnl`	Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge. Medical Image Anal. Yang Nan, Xiaodan Xing, Shiyi Wang, Zeyu Tang, Federico N. Felder, Sheng Zhang, Roberta Eufrasia Ledda, Xiaoliu Ding, Ruiqi Yu, Weiping Liu, Feng Shi, Tianyang Sun, Zehong Cao, Minghui Zhang, Yun Gu, Hanxiao Zhang, Jian Gao, Pingyu Wang, Wen Tang, Pengxin Yu, Han Kang, Junqiang Chen, Xing Lu, Boyu Zhang, Michail Mamalakis, Francesco Prinzi, Gianluca Carlini, Lisa Cuneo, Abhirup Banerjee, Zhaohu Xing, Lei Zhu, Zacharia Mesbah, Dhruv Jain, Tsiry Mayet, Hongyu Yuan, Qing Lyu, Abdul Qayyum, Moona Mazher, Athol Wells, Simon L. F. Walsh, Guang Yang
2024	J	`jnl`	Identification of Prolactinoma in Pituitary Neuroendocrine Tumors Using Radiomics Analysis Based on Multiparameter MRI. J. Imaging Inform. Medicine Hongxia Li, Zhiling Liu, Fuyan Li, Yuwei Xia, Tong Zhang, Feng Shi, Qingshi Zeng
2024	—	`conf`	Knowledge-Guided Prompt Learning for Lifespan Brain MR Image Segmentation. MICCAI (2) Lin Teng, Zihao Zhao, Jiawei Huang, Zehong Cao, Runqi Meng, Feng Shi, Dinggang Shen
2024	J	`jnl`	Knowledge-Guided Prompt Learning for Lifespan Brain MR Image Segmentation. CoRR Lin Teng, Zihao Zhao, Jiawei Huang, Zehong Cao, Runqi Meng, Feng Shi, Dinggang Shen
2024	—	`conf`	Prompt-Based Segmentation Model of Anatomical Structures and Lesions in CT Images. MICCAI (8) Xi Ouyang, Dongdong Gu, Xuejian Li, Wenqi Zhou, Qianqian Chen, Yiqiang Zhan, Xiang Sean Zhou, Feng Shi, Zhong Xue, Dinggang Shen
2024	J	`jnl`	Role of [18F]-PSMA-1007 PET radiomics for seminal vesicle invasion prediction in primary prostate cancer. Comput. Biol. Medicine Liang Luo, Xinyi Wang, Hongjun Xie, Hua Liang, Jungang Gao, Yang Li, Yuwei Xia, Mengmeng Zhao, Feng Shi, Cong Shen, Xiaoyi Duan
2023	J	`jnl`	Brain Status Transferring Generative Adversarial Network for Decoding Individualized Atrophy in Alzheimer's Disease. IEEE J. Biomed. Health Informatics Xingyu Gao, Hongrui Liu, Feng Shi, Dinggang Shen, Manhua Liu
2023	—	`conf`	Consistent and Accurate Segmentation for Serial Infant Brain MR Images with Registration Assistance. MLMI@MICCAI (1) Yuhang Sun, Jiameng Liu, Feihong Liu, Kaicong Sun, Han Zhang, Feng Shi, Qianjin Feng, Dinggang Shen
2023	J	`jnl`	Deep learning reveals the common spectrum underlying multiple brain disorders in youth and elders from brain functional networks. CoRR Mianxin Liu, Jingyang Zhang, Yao Wang, Yan Zhou, Fang Xie, Qihao Guo, Feng Shi, Han Zhang, Qian Wang, Dinggang Shen
2023	J	`jnl`	Discrimination Between Glioblastoma and Solitary Brain Metastasis Using Conventional MRI and Diffusion-Weighted Imaging Based on a Deep Learning Algorithm. J. Digit. Imaging Qingqing Yan, Fuyan Li, Yi Cui, Yong Wang, Xiao Wang, Wenjing Jia, Xinhui Liu, Yuting Li, Huan Chang, Feng Shi, Yuwei Xia, Qing Zhou, Qingshi Zeng
2023	—	`conf`	FAST-Net: A Coarse-to-fine Pyramid Network for Face-Skull Transformation. MLMI@MICCAI (2) Lei Zhao, Lei Ma, Zhiming Cui, Jie Zheng, Zhong Xue, Feng Shi, Dinggang Shen
2023	—	`conf`	Feature-Based Transformer with Incomplete Multimodal Brain Images for Diagnosis of Neurodegenerative Diseases. PRIME@MICCAI Xingyu Gao, Feng Shi, Dinggang Shen, Manhua Liu
2023	—	`conf`	HENet: Hierarchical Enhancement Network for Pulmonary Vessel Segmentation in Non-contrast CT Images. MICCAI (3) Wenqi Zhou, Xiao Zhang, Dongdong Gu, Sheng Wang, Jiayu Huo, Rui Zhang, Zhihao Jiang, Feng Shi, Zhong Xue, Yiqiang Zhan, Xi Ouyang, Dinggang Shen
2023	J	`jnl`	Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge. CoRR Yang Nan, Xiaodan Xing, Shiyi Wang, Zeyu Tang, Federico N. Felder, Sheng Zhang, Roberta Eufrasia Ledda, Xiaoliu Ding, Ruiqi Yu, Weiping Liu, Feng Shi, Tianyang Sun, Zehong Cao, Minghui Zhang, Yun Gu, Hanxiao Zhang, Jian Gao, Wen Tang, Pengxin Yu, Han Kang, Junqiang Chen, Xing Lu, Boyu Zhang, Michail Mamalakis, Francesco Prinzi, Gianluca Carlini, Lisa Cuneo, Abhirup Banerjee, Zhaohu Xing, Lei Zhu, Zacharia Mesbah, Dhruv Jain, Tsiry Mayet, Hongyu Yuan, Qing Lyu, Athol Wells, Simon Walsh, Guang Yang
2023	—	`conf`	Identifying Alzheimer's Disease-Induced Topology Alterations in Structural Networks Using Convolutional Neural Networks. MLMI@MICCAI (2) Feihong Liu, Yongsheng Pan, Junwei Yang, Fang Xie, Xiaowei He, Han Zhang, Feng Shi, Jun Feng, Qihao Guo, Dinggang Shen
2023	J	`jnl`	Individualized Assessment of Brain Aβ Deposition With fMRI Using Deep Learning. IEEE J. Biomed. Health Informatics Chaolin Li, Mianxin Liu, Jing Xia, Lang Mei, Qing Yang, Feng Shi, Han Zhang, Dinggang Shen
2023	—	`conf`	MT-NeT: Multi-Modality Transfer Learning Network for Automated Carotid Vessel Wall Segmentation using Sparse Annotation in MRI. ISBI Xibao Li, Xi Ouyang, Jiadong Zhang, Dongdong Gu, Zehong Cao, Zhongxiang Ding, Yiqiang Zhan, Xiang Sean Zhou, Zhong Xue, Yuyao Zhang, Feng Shi, Dinggang Shen
2023	—	`conf`	Mining Fmri Dynamics with Parcellation Prior for Brain Disease Diagnosis. ISBI Xiaozhao Liu, Mianxin Liu, Lang Mei, Yuyao Zhang, Feng Shi, Han Zhang, Dinggang Shen
2023	—	`conf`	Modeling Life-Span Brain Age from Large-Scale Dataset Based on Multi-level Information Fusion. MLMI@MICCAI (2) Nan Zhao, Yongsheng Pan, Kaicong Sun, Yuning Gu, Mianxin Liu, Zhong Xue, Han Zhang, Qing Yang, Fei Gao, Feng Shi, Dinggang Shen
2023	—	`conf`	Multi-Scale Supervised Contrastive Learning for Benign-Malignant Classification of Pulmonary Nodules in Chest Ct Scans. ISBI Xiaoxian Xu, Ying Wei, Jie Zheng, Zhongxiang Ding, Yiqiang Zhan, Xiang Sean Zhou, Zhong Xue, Feng Shi, Dinggang Shen
2023	J	`jnl`	Multimodal transformer network for incomplete image generation and diagnosis of Alzheimer's disease. Comput. Medical Imaging Graph. Xingyu Gao, Feng Shi, Dinggang Shen, Manhua Liu
2023	J	`jnl`	Segment aorta and localize landmarks simultaneously on noncontrast CT using a multitask learning framework for patients without severe vascular disease. Comput. Biol. Medicine Jinrong Yang, Xiang Li, Jie-Zhi Cheng, Zhong Xue, Feng Shi, Yuqing Ji, Xuechun Wang, Fan Yang
2023	—	`conf`	Self-Supervised Arbitrary Scale Super-Resolution Framework for Anisotropic MRI. ISBI Haonan Zhang, Yuhan Zhang, Qing Wu, Jiangjie Wu, Zhiming Zhen, Feng Shi, Jianmin Yuan, Hongjiang Wei, Chen Liu, Yuyao Zhang
2023	J	`jnl`	Self-supervised arbitrary scale super-resolution framework for anisotropic MRI. CoRR Haonan Zhang, Yuhan Zhang, Qing Wu, Jiangjie Wu, Zhiming Zhen, Feng Shi, Jianmin Yuan, Hongjiang Wei, Chen Liu, Yuyao Zhang
2023	J	`jnl`	Semi-Supervised Multi-View Fusion for Identifying CAP and COVID-19 With Unlabeled CT Images. IEEE Trans. Emerg. Top. Comput. Intell. Qi Zhu, Yuze Zhou, Yuan Yao, Liang Sun, Feng Shi, Wei Shao, Daoqiang Zhang, Dinggang Shen
2023	J	`jnl`	Structural Attention Graph Neural Network for Diagnosis and Prediction of COVID-19 Severity. IEEE Trans. Medical Imaging Yanbei Liu, Henan Li, Tao Luo, Changqing Zhang, Zhitao Xiao, Ying Wei, Yaozong Gao, Feng Shi, Fei Shan, Dinggang Shen
2023	J	`jnl`	TaG-Net: Topology-Aware Graph Network for Centerline-Based Vessel Labeling. IEEE Trans. Medical Imaging Linlin Yao, Feng Shi, Sheng Wang, Xiao Zhang, Zhong Xue, Xiaohuan Cao, Yiqiang Zhan, Lizhou Chen, Yuntian Chen, Bin Song, Qian Wang, Dinggang Shen
2022	J	`jnl`	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. Frontiers Neuroinformatics 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, Jing Wang
2022	—	`conf`	CSGAN: Synthesis-Aided Brain MRI Segmentation on 6-Month Infants. DALI@MICCAI Xin Tang, Jiadong Zhang, Yongsheng Pan, Yuyao Zhang, Feng Shi
2022	J	`jnl`	Cross-Site Severity Assessment of COVID-19 From CT Images via Domain Adaptation. IEEE Trans. Medical Imaging Gengxin Xu, Chen Liu, Jun Liu, Zhongxiang Ding, Feng Shi, Man Guo, Wei Zhao, Xiaoming Li, Ying Wei, Yaozong Gao, Chuan-Xian Ren, Dinggang Shen
2022	—	`conf`	Head and Neck Vessel Segmentation with Connective Topology Using Affinity Graph. MLMI@MICCAI Linlin Yao, Zhong Xue, Yiqiang Zhan, Lizhou Chen, Yuntian Chen, Bin Song, Qian Wang, Feng Shi, Dinggang Shen
2022	J	`jnl`	Hierarchical Graph Convolutional Network Built by Multiscale Atlases for Brain Disorder Diagnosis Using Functional Connectivity. CoRR Mianxin Liu, Han Zhang, Feng Shi, Dinggang Shen
2022	—	`conf`	Modular Graph Encoding and Hierarchical Readout for Functional Brain Network Based eMCI Diagnosis. ISGIE/GRAIL@MICCAI Lang Mei, Mianxin Liu, Lingbin Bian, Yuyao Zhang, Feng Shi, Han Zhang, Dinggang Shen
2022	—	`conf`	Multi-scale and Focal Region Based Deep Learning Network for Fine Brain Parcellation. MLMI@MICCAI Yuyan Ge, Zhenyu Tang, Lei Ma, Caiwen Jiang, Feng Shi, Shaoyi Du, Dinggang Shen
2022	J	`jnl`	Semi-Supervised Deep Transfer Learning for Benign-Malignant Diagnosis of Pulmonary Nodules in Chest CT Images. IEEE Trans. Medical Imaging Feng Shi, Bojiang Chen, Qiqi Cao, Ying Wei, Qing Zhou, Rui Zhang, Yaojie Zhou, Wenjie Yang, Xiang Wang, Rongrong Fan, Fan Yang, Yanbo Chen, Weimin Li, Yaozong Gao, Dinggang Shen
2022	—	`conf`	TaG-Net: Topology-Aware Graph Network for Vessel Labeling. ISGIE/GRAIL@MICCAI Linlin Yao, Zhong Xue, Yiqiang Zhan, Lizhou Chen, Yuntian Chen, Bin Song, Qian Wang, Feng Shi, Dinggang Shen
2022	J	`jnl`	Task-Induced Pyramid and Attention GAN for Multimodal Brain Image Imputation and Classification in Alzheimer's Disease. IEEE J. Biomed. Health Informatics Xingyu Gao, Feng Shi, Dinggang Shen, Manhua Liu
2021	—	`conf`	A Multi-scale Graph Network with Multi-head Attention for Histopathology Image Diagnosisn. COMPAY@MICCAI Xiaodan Xing, Yixin Ma, Lei Jin, Tianyang Sun, Zhong Xue, Feng Shi, Jinsong Wu, Dinggang Shen
2021	J	`jnl`	A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning. CoRR Zekun Li, Wei Zhao, Feng Shi, Lei Qi, Xingzhi Xie, Ying Wei, Zhongxiang Ding, Yang Gao, Shangjie Wu, Jun Liu, Yinghuan Shi, Dinggang Shen
2021	J	`jnl`	A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning. Medical Image Anal. Zekun Li, Wei Zhao, Feng Shi, Lei Qi, Xingzhi Xie, Ying Wei, Zhongxiang Ding, Yang Gao, Shangjie Wu, Jun Liu, Yinghuan Shi, Dinggang Shen
2021	—	`conf`	Building Dynamic Hierarchical Brain Networks and Capturing Transient Meta-states for Early Mild Cognitive Impairment Diagnosis. MICCAI (7) Mianxin Liu, Han Zhang, Feng Shi, Dinggang Shen
2021	J	`jnl`	Computing infection distributions and longitudinal evolution patterns in lung CT images. BMC Medical Imaging Dongdong Gu, Liyun Chen, Fei Shan, Liming Xia, Jun Liu, Zhanhao Mo, Fuhua Yan, Bin Song, Yaozong Gao, Xiaohuan Cao, Yanbo Chen, Ying Shao, Miaofei Han, Bin Wang, Guocai Liu, Qian Wang, Feng Shi, Dinggang Shen, Zhong Xue
2021	—	`conf`	Confidence-Aware Cascaded Network for Fetal Brain Segmentation on MR Images. MICCAI (3) Xukun Zhang, Zhiming Cui, Changan Chen, Jie Wei, Jingjiao Lou, Wenxin Hu, He Zhang, Tao Zhou, Feng Shi, Dinggang Shen
2021	—	`conf`	Consistent Segmentation of Longitudinal Brain MR Images with Spatio-Temporal Constrained Networks. MICCAI (1) Jie Wei, Feng Shi, Zhiming Cui, Yongsheng Pan, Yong Xia, Dinggang Shen
2021	J	`jnl`	Cross-Site Severity Assessment of COVID-19 from CT Images via Domain Adaptation. CoRR Gengxin Xu, Chen Liu, Jun Liu, Zhongxiang Ding, Feng Shi, Man Guo, Wei Zhao, Xiaoming Li, Ying Wei, Yaozong Gao, Chuan-Xian Ren, Dinggang Shen
2021	—	`conf`	Diagnosis of Hippocampal Sclerosis from Clinical Routine Head MR Images Using Structure-constrained Super-Resolution Network. MLMI@MICCAI Zehong Cao, Feng Shi, Qiang Xu, Gaoping Liu, Tianyang Sun, Xiaodan Xing, Yichu He, Guangming Lu, Zhiqiang Zhang, Dinggang Shen
2021	J	`jnl`	Differentiation between COVID-19 and bacterial pneumonia using radiomics of chest computed tomography and clinical features. Int. J. Imaging Syst. Technol. Junbang Feng, Yi Guo, Shike Wang, Feng Shi, Ying Wei, Yichu He, Ping Zeng, Jun Liu, Wenjing Wang, Liping Lin, Qingning Yang, Chuanming Li, Xinghua Liu
2021	J	`jnl`	GACDN: generative adversarial feature completion and diagnosis network for COVID-19. BMC Medical Imaging Qi Zhu, Haizhou Ye, Liang Sun, Zhongnian Li, Ran Wang, Feng Shi, Dinggang Shen, Daoqiang Zhang
2021	J	`jnl`	Hypergraph learning for identification of COVID-19 with CT imaging. Medical Image Anal. Donglin Di, Feng Shi, Fuhua Yan, Liming Xia, Zhanhao Mo, Zhongxiang Ding, Fei Shan, Bin Song, Shengrui Li, Ying Wei, Ying Shao, Miaofei Han, Yaozong Gao, He Sui, Yue Gao, Dinggang Shen
2021	J	`jnl`	Joint prediction and time estimation of COVID-19 developing severe symptoms using chest CT scan. Medical Image Anal. Xiaofeng Zhu, Bin Song, Feng Shi, Yanbo Chen, Rongyao Hu, Jiangzhang Gan, Wenhai Zhang, Man Li, Liye Wang, Yaozong Gao, Fei Shan, Dinggang Shen
2021	—	`conf`	Multi-Task Learning for False-Positive Reduction and Segmentation of Cerebral Aneurysms in CTA Scans. CISP-BMEI Heng Lin, Yuanfang Qiao, Feng Shi, Dahong Qian, Na Hu, Lizhou Chen, Bin Song, Ke Wu, Lichi Zhang
2021	J	`jnl`	Recycling diagnostic MRI for empowering brain morphometric research - Critical & practical assessment on learning-based image super-resolution. NeuroImage Gaoping Liu, Zehong Cao, Qiang Xu, Qirui Zhang, Fang Yang, Xinyu Xie, Jingru Hao, Yinghuan Shi, Boris C. Bernhardt, Yichu He, Feng Shi, Guangming Lu, Zhiqiang Zhang
2021	—	`conf`	SMILE: Sparse-Attention based Multiple Instance Contrastive Learning for Glioma Sub-Type Classification Using Pathological Images. COMPAY@MICCAI Mengkang Lu, Yongsheng Pan, Dong Nie, Feihong Liu, Feng Shi, Yong Xia, Dinggang Shen
2021	J	`jnl`	Synergistic learning of lung lobe segmentation and hierarchical multi-instance classification for automated severity assessment of COVID-19 in CT images. Pattern Recognit. Kelei He, Wei Zhao, Xingzhi Xie, Wen Ji, Mingxia Liu, Zhenyu Tang, Yinghuan Shi, Feng Shi, Yang Gao, Jun Liu, Junfeng Zhang, Dinggang Shen
2021	—	`conf`	VertNet: Accurate Vertebra Localization and Identification Network from CT Images. MICCAI (5) Zhiming Cui, Changjian Li, Lei Yang, Chunfeng Lian, Feng Shi, Wenping Wang, Dijia Wu, Dinggang Shen
2020	J	`jnl`	Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification With Chest CT. IEEE J. Biomed. Health Informatics Liang Sun, Zhanhao Mo, Fuhua Yan, Liming Xia, Fei Shan, Zhongxiang Ding, Bin Song, Wanchun Gao, Wei Shao, Feng Shi, Huan Yuan, Huiting Jiang, Dijia Wu, Ying Wei, Yaozong Gao, He Sui, Daoqiang Zhang, Dinggang Shen
2020	J	`jnl`	Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification with Chest CT. CoRR Liang Sun, Zhanhao Mo, Fuhua Yan, Liming Xia, Fei Shan, Zhongxiang Ding, Wei Shao, Feng Shi, Huan Yuan, Huiting Jiang, Dijia Wu, Ying Wei, Yaozong Gao, Wanchun Gao, He Sui, Daoqiang Zhang, Dinggang Shen
2020	J	`jnl`	Assessing Road Traffic Safety During COVID-19: Inequality, Irregularity, and Severity. CoRR Lei Lin, Feng Shi, Weizi Li
2020	J	`jnl`	Designing weighted correlation kernels in convolutional neural networks for functional connectivity based brain disease diagnosis. Medical Image Anal. Biao Jie, Mingxia Liu, Chunfeng Lian, Feng Shi, Dinggang Shen
2020	—	`conf`	Detection of Discriminative Neurological Circuits Using Hierarchical Graph Convolutional Networks in fMRI Sequences. UNSURE/GRAIL@MICCAI Xiaodan Xing, Lili Jin, Qinfeng Li, Lei Chen, Zhong Xue, Ziwen Peng, Feng Shi, Dinggang Shen
2020	J	`jnl`	Diagnosis of Coronavirus Disease 2019 (COVID-19) With Structured Latent Multi-View Representation Learning. IEEE Trans. Medical Imaging Hengyuan Kang, Liming Xia, Fuhua Yan, Zhibin Wan, Feng Shi, Huan Yuan, Huiting Jiang, Dijia Wu, He Sui, Changqing Zhang, Dinggang Shen
2020	J	`jnl`	Diagnosis of Coronavirus Disease 2019 (COVID-19) with Structured Latent Multi-View Representation Learning. CoRR Hengyuan Kang, Liming Xia, Fuhua Yan, Zhibin Wan, Feng Shi, Huan Yuan, Huiting Jiang, Dijia Wu, He Sui, Changqing Zhang, Dinggang Shen
2020	J	`jnl`	Dual-Sampling Attention Network for Diagnosis of COVID-19 From Community Acquired Pneumonia. IEEE Trans. Medical Imaging Xi Ouyang, Jiayu Huo, Liming Xia, Fei Shan, Jun Liu, Zhanhao Mo, Fuhua Yan, Zhongxiang Ding, Qi Yang, Bin Song, Feng Shi, Huan Yuan, Ying Wei, Xiaohuan Cao, Yaozong Gao, Dijia Wu, Qian Wang, Dinggang Shen
2020	J	`jnl`	Dual-Sampling Attention Network for Diagnosis of COVID-19 from Community Acquired Pneumonia. CoRR Xi Ouyang, Jiayu Huo, Liming Xia, Fei Shan, Jun Liu, Zhanhao Mo, Fuhua Yan, Zhongxiang Ding, Qi Yang, Bin Song, Feng Shi, Huan Yuan, Ying Wei, Xiaohuan Cao, Yaozong Gao, Dijia Wu, Qian Wang, Dinggang Shen
2020	J	`jnl`	FCN Based Label Correction for Multi-Atlas Guided Organ Segmentation. Neuroinformatics Hancan Zhu, Ehsan Adeli, Feng Shi, Dinggang Shen
2020	—	`conf`	Graph Convolutional Network Based Point Cloud for Head and Neck Vessel Labeling. MLMI@MICCAI Linlin Yao, Pengbo Jiang, Zhong Xue, Yiqiang Zhan, Dijia Wu, Lichi Zhang, Qian Wang, Feng Shi, Dinggang Shen
2020	J	`jnl`	Hypergraph Learning for Identification of COVID-19 with CT Imaging. CoRR Donglin Di, Feng Shi, Fuhua Yan, Liming Xia, Zhanhao Mo, Zhongxiang Ding, Fei Shan, Shengrui Li, Ying Wei, Ying Shao, Miaofei Han, Yaozong Gao, He Sui, Yue Gao, Dinggang Shen
2020	—	`conf`	Ischemic Stroke Segmentation from CT Perfusion Scans Using Cluster-Representation Learning. MLCN/RNO-AI@MICCAI Jianyuan Zhang, Feng Shi, Lei Chen, Zhong Xue, Lichi Zhang, Dahong Qian
2020	—	`conf`	Joint Appearance-Feature Domain Adaptation: Application to QSM Segmentation Transfer. MLMI@MICCAI Bin Xiao, Naying He, Qian Wang, Zhong Xue, Lei Chen, Fuhua Yan, Feng Shi, Dinggang Shen
2020	J	`jnl`	Joint Prediction and Time Estimation of COVID-19 Developing Severe Symptoms using Chest CT Scan. CoRR Xiaofeng Zhu, Bin Song, Feng Shi, Yanbo Chen, Rongyao Hu, Jiangzhang Gan, Wenhai Zhang, Man Li, Liye Wang, Yaozong Gao, Fei Shan, Dinggang Shen
2020	J	`jnl`	Large-Scale Screening of COVID-19 from Community Acquired Pneumonia using Infection Size-Aware Classification. CoRR Feng Shi, Liming Xia, Fei Shan, Dijia Wu, Ying Wei, Huan Yuan, Huiting Jiang, Yaozong Gao, He Sui, Dinggang Shen
2020	J	`jnl`	MRI Super-Resolution with GAN and 3D Multi-Level DenseNet: Smaller, Faster, and Better. CoRR Yuhua Chen, Anthony G. Christodoulou, Zhengwei Zhou, Feng Shi, Yibin Xie, Debiao Li
2020	—	`conf`	Modeling Heterogeneity in Feature Selection for MCI Classification. ISBI Wei Zhu, Feng Shi, Jiebo Luo
2020	J	`jnl`	Multi-modal latent space inducing ensemble SVM classifier for early dementia diagnosis with neuroimaging data. Medical Image Anal. Tao Zhou, Kim-Han Thung, Mingxia Liu, Feng Shi, Changqing Zhang, Dinggang Shen
2020	J	`jnl`	Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19. CoRR Feng Shi, Jun Wang, Jun Shi, Ziyan Wu, Qian Wang, Zhenyu Tang, Kelei He, Yinghuan Shi, Dinggang Shen
2020	J	`jnl`	Segmenting Brain Tumor Using Cascaded V-Nets in Multimodal MR Images. Frontiers Comput. Neurosci. Rui Hua, Quan Huo, Yaozong Gao, He Sui, Bing Zhang, Yu Sun, Zhanhao Mo, Feng Shi
2020	J	`jnl`	Severity Assessment of Coronavirus Disease 2019 (COVID-19) Using Quantitative Features from Chest CT Images. CoRR Zhenyu Tang, Wei Zhao, Xingzhi Xie, Zheng Zhong, Feng Shi, Jun Liu, Dinggang Shen
2020	J	`jnl`	Synergistic Learning of Lung Lobe Segmentation and Hierarchical Multi-Instance Classification for Automated Severity Assessment of COVID-19 in CT Images. CoRR Kelei He, Wei Zhao, Xingzhi Xie, Wen Ji, Mingxia Liu, Zhenyu Tang, Feng Shi, Yang Gao, Jun Liu, Junfeng Zhang, Dinggang Shen
2020	—	`conf`	Two-Stage Mapping-Segmentation Framework for Delineating COVID-19 Infections from Heterogeneous CT Images. TIA@MICCAI Tong Li, Zhuochen Wang, Yanbo Chen, Lichi Zhang, Yaozong Gao, Feng Shi, Dahong Qian, Qian Wang, Dinggang Shen
2019	J	`jnl`	Computational neuroanatomy of baby brains: A review. NeuroImage Gang Li, Li Wang, Pew-Thian Yap, Fan Wang, Zhengwang Wu, Yu Meng, Pei Dong, Jaeil Kim, Feng Shi, Islem Rekik, Weili Lin, Dinggang Shen
2019	—	`conf`	Diagnosis of OCD using functional connectome and Riemann kernel PCA. Computer-Aided Diagnosis Xiaodan Xing, Lili Jin, Feng Shi, Ziwen Peng
2019	J	`jnl`	Dilated Dense U-Net for Infant Hippocampus Subfield Segmentation. Frontiers Neuroinformatics Hancan Zhu, Feng Shi, Li Wang, Sheng-Che Hung, Meng-Hsiang Chen, Shuai Wang, Weili Lin, Dinggang Shen
2019	—	`conf`	Dynamic Spectral Graph Convolution Networks with Assistant Task Training for Early MCI Diagnosis. MICCAI (4) Xiaodan Xing, Qingfeng Li, Hao Wei, Minqing Zhang, Yiqiang Zhan, Xiang Sean Zhou, Zhong Xue, Feng Shi
2019	J	`jnl`	Intracranial Vessel Wall Segmentation Using Convolutional Neural Networks. IEEE Trans. Biomed. Eng. Feng Shi, Qi Yang, Xiuhai Guo, Touseef Ahmad Qureshi, Zixiao Tian, Huijuan Miao, Damini Dey, Debiao Li, Zhaoyang Fan
2019	J	`jnl`	Longitudinally Guided Super-Resolution of Neonatal Brain Magnetic Resonance Images. IEEE Trans. Cybern. Yongqin Zhang, Feng Shi, Jian Cheng, Li Wang, Pew-Thian Yap, Dinggang Shen
2019	—	`conf`	Novel Iterative Attention Focusing Strategy for Joint Pathology Localization and Prediction of MCI Progression. MICCAI (4) Qingfeng Li, Xiaodan Xing, Ying Sun, Bin Xiao, Hao Wei, Quan Huo, Minqing Zhang, Xiang Sean Zhou, Yiqiang Zhan, Zhong Xue, Feng Shi
2019	—	`conf`	Regression-Based Line Detection Network for Delineation of Largely Deformed Brain Midline. MICCAI (3) Hao Wei, Xiangyu Tang, Minqing Zhang, Qingfeng Li, Xiaodan Xing, Xiang Sean Zhou, Zhong Xue, Wenzhen Zhu, Zailiang Chen, Feng Shi
2019	J	`jnl`	Semi-Supervised Discriminative Classification Robust to Sample-Outliers and Feature-Noises. IEEE Trans. Pattern Anal. Mach. Intell. Ehsan Adeli, Kim-Han Thung, Le An, Guorong Wu, Feng Shi, Tao Wang, Dinggang Shen
2019	—	`conf`	Spatial and depth weighted neural network for diagnosis of Alzheimer's disease. Computer-Aided Diagnosis Qingfeng Li, Quan Huo, Xiaodan Xing, Yiqiang Zhan, Xiang Sean Zhou, Feng Shi
2019	—	`conf`	Weakly Supervised Confidence Learning for Brain MR Image Dense Parcellation. MLMI@MICCAI Bin Xiao, Xiaoqing Cheng, Qingfeng Li, Qian Wang, Lichi Zhang, Dongming Wei, Yiqiang Zhan, Xiang Sean Zhou, Zhong Xue, Guangming Lu, Feng Shi
2018	J	`jnl`	Brain MRI Super Resolution Using 3D Deep Densely Connected Neural Networks. CoRR Yuhua Chen, Yibin Xie, Zhengwei Zhou, Feng Shi, Anthony G. Christodoulou, Debiao Li
2018	—	`conf`	Brain MRI super resolution using 3D deep densely connected neural networks. ISBI Yuhua Chen, Yibin Xie, Zhengwei Zhou, Feng Shi, Anthony G. Christodoulou, Debiao Li
2018	J	`jnl`	Calcium Removal From Cardiac CT Images Using Deep Convolutional Neural Network. CoRR Siming Yan, Feng Shi, Yuhua Chen, Damini Dey, Sang-Eun Lee, Hyuk-Jae Chang, Debiao Li, Yibin Xie
2018	—	`conf`	Calcium removal from cardiac ct images using deep convolutional neural network. ISBI Siming Yan, Feng Shi, Yuhua Chen, Damini Dey, Sang-Eun Lee, Hyuk-Jae Chang, Debiao Li, Yibin Xie
2018	—	`conf`	Developing Novel Weighted Correlation Kernels for Convolutional Neural Networks to Extract Hierarchical Functional Connectivities from fMRI for Disease Diagnosis. MLMI@MICCAI Biao Jie, Mingxia Liu, Chunfeng Lian, Feng Shi, Dinggang Shen
2018	—	`conf`	Efficient and Accurate MRI Super-Resolution Using a Generative Adversarial Network and 3D Multi-level Densely Connected Network. MICCAI (1) Yuhua Chen, Feng Shi, Anthony G. Christodoulou, Yibin Xie, Zhengwei Zhou, Debiao Li
2018	J	`jnl`	Efficient and Accurate MRI Super-Resolution using a Generative Adversarial Network and 3D Multi-Level Densely Connected Network. CoRR Yuhua Chen, Feng Shi, Anthony G. Christodoulou, Zhengwei Zhou, Yibin Xie, Debiao Li
2018	—	`conf`	Multi-modal Neuroimaging Data Fusion via Latent Space Learning for Alzheimer's Disease Diagnosis. PRIME@MICCAI Tao Zhou, Kim-Han Thung, Mingxia Liu, Feng Shi, Changqing Zhang, Dinggang Shen
2018	—	`conf`	Multimodal Brain Tumor Segmentation Using Cascaded V-Nets. BrainLes@MICCAI (2) Rui Hua, Quan Huo, Yaozong Gao, Yu Sun, Feng Shi
2018	—	`conf`	On Quantifying Local Geometric Structures of Fiber Tracts. MICCAI (3) Jian Cheng, Tao Liu, Feng Shi, Ruiliang Bai, Jicong Zhang, Haogang Zhu, Dacheng Tao, Peter J. Basser
2018	—	`conf`	Registration-Free Infant Cortical Surface Parcellation Using Deep Convolutional Neural Networks. MICCAI (3) Zhengwang Wu, Gang Li, Li Wang, Feng Shi, Weili Lin, John H. Gilmore, Dinggang Shen
2018	J	`jnl`	Segmenting hippocampal subfields from 3T MRI with multi-modality images. Medical Image Anal. Zhengwang Wu, Yaozong Gao, Feng Shi, Guangkai Ma, Valerie Jewells, Dinggang Shen
2018	—	`conf`	Volume-Based Analysis of 6-Month-Old Infant Brain MRI for Autism Biomarker Identification and Early Diagnosis. MICCAI (3) Li Wang, Gang Li, Feng Shi, Xiaohuan Cao, Chunfeng Lian, Dong Nie, Mingxia Liu, Han Zhang, Guannan Li, Zhengwang Wu, Weili Lin, Dinggang Shen
2017	—	`conf`	Joint Reconstruction and Segmentation of 7T-like MR Images from 3T MRI Based on Cascaded Convolutional Neural Networks. MICCAI (1) Khosro Bahrami, Islem Rekik, Feng Shi, Dinggang Shen
2017	J	`jnl`	Semisupervised Tripled Dictionary Learning for Standard-Dose PET Image Prediction Using Low-Dose PET and Multimodal MRI. IEEE Trans. Biomed. Eng. Yan Wang, Guangkai Ma, Le An, Feng Shi, Pei Zhang, David S. Lalush, Xi Wu, Yi-Fei Pu, Jiliu Zhou, Dinggang Shen
2016	—	`conf`	7T-Guided Learning Framework for Improving the Segmentation of 3T MR Images. MICCAI (2) Khosro Bahrami, Islem Rekik, Feng Shi, Yaozong Gao, Dinggang Shen
2016	—	`conf`	Automatic Hippocampal Subfield Segmentation from 3T Multi-modality Images. MLMI@MICCAI Zhengwang Wu, Yaozong Gao, Feng Shi, Valerie Jewells, Dinggang Shen
2016	J	`jnl`	Consistent Spatial-Temporal Longitudinal Atlas Construction for Developing Infant Brains. IEEE Trans. Medical Imaging Yuyao Zhang, Feng Shi, Guorong Wu, Li Wang, Pew-Thian Yap, Dinggang Shen
2016	—	`conf`	Construction of Neonatal Diffusion Atlases via Spatio-Angular Consistency. Patch-MI@MICCAI Behrouz Saghafi, Geng Chen, Feng Shi, Pew-Thian Yap, Dinggang Shen
2016	—	`conf`	Convolutional Neural Network for Reconstruction of 7T-like Images from 3T MRI Using Appearance and Anatomical Features. LABELS/DLMIA@MICCAI Khosro Bahrami, Feng Shi, Islem Rekik, Dinggang Shen
2016	J	`jnl`	Joint feature-sample selection and robust diagnosis of Parkinson's disease from MRI data. NeuroImage Ehsan Adeli, Feng Shi, Le An, Chong-Yaw Wee, Guorong Wu, Tao Wang, Dinggang Shen
2016	—	`conf`	LATEST: Local AdapTivE and Sequential Training for Tissue Segmentation of Isointense Infant Brain MR Images. MCV/BAMBI@MICCAI Li Wang, Yaozong Gao, Gang Li, Feng Shi, Weili Lin, Dinggang Shen
2016	J	`jnl`	Multi-Level Canonical Correlation Analysis for Standard-Dose PET Image Estimation. IEEE Trans. Image Process. Le An, Pei Zhang, Ehsan Adeli-Mosabbeb, Yan Wang, Guangkai Ma, Feng Shi, David S. Lalush, Weili Lin, Dinggang Shen
2016	J	`jnl`	Reconstruction of 7T-Like Images From 3T MRI. IEEE Trans. Medical Imaging Khosro Bahrami, Feng Shi, Xiaopeng Zong, Hae Won Shin, Hongyu An, Dinggang Shen
2015	—	`conf`	A Multi-level Canonical Correlation Analysis Scheme for Standard-Dose PET Image Estimation. Patch-MI@MICCAI Le An, Pei Zhang, Ehsan Adeli-Mosabbeb, Yan Wang, Guangkai Ma, Feng Shi, David S. Lalush, Weili Lin, Dinggang Shen
2015	—	`conf`	Automated Segmentation of CBCT Image with Prior-Guided Sequential Random Forest. MCV@MICCAI Li Wang, Yaozong Gao, Feng Shi, Gang Li, Ken-Chung Chen, Zhen Tang, James J. Xia, Dinggang Shen
2015	J	`jnl`	Construction of 4D high-definition cortical surface atlases of infants: Methods and applications. Medical Image Anal. Gang Li, Li Wang, Feng Shi, John H. Gilmore, Weili Lin, Dinggang Shen
2015	—	`conf`	Hierarchical Reconstruction of 7T-like Images from 3T MRI Using Multi-level CCA and Group Sparsity. MICCAI (2) Khosro Bahrami, Feng Shi, Xiaopeng Zong, Hae Won Shin, Hongyu An, Dinggang Shen
2015	—	`conf`	Identification of Infants at Risk for Autism Using Multi-parameter Hierarchical White Matter Connectomes. MLMI Yan Jin, Chong-Yaw Wee, Feng Shi, Kim-Han Thung, Pew-Thian Yap, Dinggang Shen
2015	—	`conf`	Improving Accuracy of Automatic Hippocampus Segmentation in Routine MRI by Features Learned from Ultra-High Field MRI. Patch-MI@MICCAI Shuyu Li, Feng Shi, Guangkai Ma, Minjeong Kim, Dinggang Shen
2015	—	`conf`	Isointense Infant Brain Segmentation by Stacked Kernel Canonical Correlation Analysis. Patch-MI@MICCAI Li Wang, Feng Shi, Yaozong Gao, Gang Li, Weili Lin, Dinggang Shen
2015	—	`conf`	Joint Feature-Sample Selection and Robust Classification for Parkinson's Disease Diagnosis. MCV@MICCAI Ehsan Adeli-Mosabbeb, Chong-Yaw Wee, Le An, Feng Shi, Dinggang Shen
2015	J	`jnl`	LINKS: Learning-based multi-source IntegratioN frameworK for Segmentation of infant brain images. NeuroImage Li Wang, Yaozong Gao, Feng Shi, Gang Li, John H. Gilmore, Weili Lin, Dinggang Shen
2015	—	`conf`	Robust Feature-Sample Linear Discriminant Analysis for Brain Disorders Diagnosis. NIPS Ehsan Adeli-Mosabbeb, Kim-Han Thung, Le An, Feng Shi, Dinggang Shen
2015	—	`conf`	Space-Frequency Detail-Preserving Construction of Neonatal Brain Atlases. MICCAI (2) Yuyao Zhang, Feng Shi, Pew-Thian Yap, Dinggang Shen
2014	—	`conf`	Constructing 4D Infant Cortical Surface Atlases Based on Dynamic Developmental Trajectories of the Cortex. MICCAI (3) Gang Li, Li Wang, Feng Shi, Weili Lin, Dinggang Shen
2014	J	`jnl`	Integration of sparse multi-modality representation and anatomical constraint for isointense infant brain MR image segmentation. NeuroImage Li Wang, Feng Shi, Yaozong Gao, Gang Li, John H. Gilmore, Weili Lin, Dinggang Shen
2014	—	`conf`	LINKS: Learning-Based Multi-source IntegratioN FrameworK for Segmentation of Infant Brain Images. MCV Li Wang, Yaozong Gao, Feng Shi, Gang Li, John H. Gilmore, Weili Lin, Dinggang Shen
2014	—	`conf`	Longitudinal Guided Super-Resolution Reconstruction of Neonatal Brain MR Images. STIA Feng Shi, Jian Cheng, Li Wang, Pew-Thian Yap, Dinggang Shen
2014	J	`jnl`	Measuring the dynamic longitudinal cortex development in infants by reconstruction of temporally consistent cortical surfaces. NeuroImage Gang Li, Jingxin Nie, Li Wang, Feng Shi, John H. Gilmore, Weili Lin, Dinggang Shen
2014	—	`conf`	Prediction of Standard-Dose PET Image by Low-Dose PET and MRI Images. MLMI Jiayin Kang, Yaozong Gao, Yao Wu, Guangkai Ma, Feng Shi, Weili Lin, Dinggang Shen
2014	J	`jnl`	Segmentation of neonatal brain MR images using patch-driven level sets. NeuroImage Li Wang, Feng Shi, Gang Li, Yaozong Gao, Weili Lin, John H. Gilmore, Dinggang Shen
2014	J	`jnl`	Simultaneous and consistent labeling of longitudinal dynamic developing cortical surfaces in infants. Medical Image Anal. Gang Li, Li Wang, Feng Shi, Weili Lin, Dinggang Shen
2013	—	`conf`	Automated Segmentation of CBCT Image Using Spiral CT Atlases and Convex Optimization. MICCAI (3) Li Wang, Ken-Chung Chen, Feng Shi, Shu Liao, Gang Li, Yaozong Gao, Steve G. Shen, Jin Yan, Philip K. M. Lee, Ben Chow, Nancy X. Liu, James J. Xia, Dinggang Shen
2013	—	`conf`	Integration of Sparse Multi-modality Representation and Geometrical Constraint for Isointense Infant Brain Segmentation. MICCAI (1) Li Wang, Feng Shi, Gang Li, Weili Lin, John H. Gilmore, Dinggang Shen
2013	—	`conf`	Low-Rank Total Variation for Image Super-Resolution. MICCAI (1) Feng Shi, Jian Cheng, Li Wang, Pew-Thian Yap, Dinggang Shen
2013	—	`conf`	Measuring longitudinally dynamic cortex development in infants by reconstruction of consistent cortical surfaces. ISBI Gang Li, Jingxin Nie, Li Wang, Feng Shi, John H. Gilmore, Weili Lin, Dinggang Shen
2013	—	`conf`	Multi-atlas Based Simultaneous Labeling of Longitudinal Dynamic Cortical Surfaces in Infants. MICCAI (1) Gang Li, Li Wang, Feng Shi, Weili Lin, Dinggang Shen
2013	—	`conf`	Patch-driven neonatal brain MRI segmentation with sparse representation and level sets. ISBI Li Wang, Feng Shi, Gang Li, Weili Lin, John H. Gilmore, Dinggang Shen
2013	J	`jnl`	iBEAT: A Toolbox for Infant Brain Magnetic Resonance Image Processing. Neuroinformatics Yakang Dai, Feng Shi, Li Wang, Guorong Wu, Dinggang Shen
2012	—	`conf`	4D Segmentation of Longitudinal Brain MR Images with Consistent Cortical Thickness Measurement. STIA Li Wang, Feng Shi, Gang Li, Dinggang Shen
2012	J	`jnl`	Altered structural connectivity in neonates at genetic risk for schizophrenia: A combined study using morphological and white matter networks. NeuroImage Feng Shi, Pew-Thian Yap, Wei Gao, Weili Lin, John H. Gilmore, Dinggang Shen
2012	—	`conf`	Atlas Construction via Dictionary Learning and Group Sparsity. MICCAI (1) Feng Shi, Li Wang, Guorong Wu, Yu Zhang, Manhua Liu, John H. Gilmore, Weili Lin, Dinggang Shen
2012	J	`jnl`	LABEL: Pediatric brain extraction using learning-based meta-algorithm. NeuroImage Feng Shi, Li Wang, Yakang Dai, John H. Gilmore, Weili Lin, Dinggang Shen
2011	—	`conf`	Accurate and Consistent 4D Segmentation of Serial Infant Brain MR Images. MBIA Li Wang, Feng Shi, Pew-Thian Yap, John H. Gilmore, Weili Lin, Dinggang Shen
2011	J	`jnl`	Automatic segmentation of neonatal images using convex optimization and coupled level sets. NeuroImage Li Wang, Feng Shi, Weili Lin, John H. Gilmore, Dinggang Shen
2011	J	`jnl`	Brain anatomical networks in early human brain development. NeuroImage Yong Fan, Feng Shi, Jeffrey Keith Smith, Weili Lin, John H. Gilmore, Dinggang Shen
2011	—	`conf`	Learning-Based Meta-Algorithm for MRI Brain Extraction. MICCAI (3) Feng Shi, Li Wang, John H. Gilmore, Weili Lin, Dinggang Shen
2011	—	`conf`	Robust Deformable-Surface-Based Skull-Stripping for Large-Scale Studies. MICCAI (3) Yaping Wang, Jingxin Nie, Pew-Thian Yap, Feng Shi, Lei Guo, Dinggang Shen
2011	J	`jnl`	Sex differences in grey matter atrophy patterns among AD and aMCI patients: Results from ADNI. NeuroImage Martha Skup, Hongtu Zhu, Yaping Wang, Kelly S. Giovanello, Ja-an Lin, Dinggang Shen, Feng Shi, Wei Gao, Weili Lin, Yong Fan, Heping Zhang
2010	—	`conf`	Automatic Segmentation of Neonatal Images Using Convex Optimization and Coupled Level Set Method. MIAR Li Wang, Feng Shi, John H. Gilmore, Weili Lin, Dinggang Shen
2010	J	`jnl`	Construction of multi-region-multi-reference atlases for neonatal brain MRI segmentation. NeuroImage Feng Shi, Pew-Thian Yap, Yong Fan, John H. Gilmore, Weili Lin, Dinggang Shen
2010	—	`conf`	Multiple Cortical Surface Correspondence Using Pairwise Shape Similarity. MICCAI (1) Pahal Dalal, Feng Shi, Dinggang Shen, Song Wang
2010	—	`conf`	Neonatal brain MRI segmentation by building multi-region-multireference atlases. ISBI Feng Shi, Pew-Thian Yap, Yong Fan, John H. Gilmore, Weili Lin, Dinggang Shen
2010	J	`jnl`	Neonatal brain image segmentation in longitudinal MRI studies. NeuroImage Feng Shi, Yong Fan, Songyuan Tang, John H. Gilmore, Weili Lin, Dinggang Shen
2010	—	`conf`	Spatial-Temporal Constraint for Segmentation of Serial Infant Brain MR Images. MIAR Feng Shi, Pew-Thian Yap, John H. Gilmore, Weili Lin, Dinggang Shen
2010	—	`conf`	The Alzheimer's Disease Neuroimaging Initiative: Consistent 4D Cortical Thickness Measurement for Longitudinal Neuroimaging Study. MICCAI (2) Yang Li, Yaping Wang, Zhong Xue, Feng Shi, Weili Lin, Dinggang Shen
2009	B	`conf`	Brain tissue segmentation of neonatal MR images using a longitudinal subject-specific probabilistic atlas. Image Processing Feng Shi, Yong Fan, Songyuan Tang, John H. Gilmore, Weili Lin, Dinggang Shen
2009	—	`conf`	Cortical enhanced tissue segmentation of neonatal brain MR images acquired by a dedicated phased array coil. CVPR Workshops Feng Shi, Pew-Thian Yap, Yong Fan, Jie-Zhi Cheng, Lawrence L. Wald, Guido Gerig, Weili Lin, Dinggang Shen
2008	—	`conf`	A Surface-Based Fractal Information Dimension Method for Cortical Complexity Analysis. MIAR Yuanchao Zhang, Jiefeng Jiang, Lei Lin, Feng Shi, Yuan Zhou, Chunshui Yu, Kuncheng Li, Tianzi Jiang
2007	—	`conf`	Regional Homogeneity and Anatomical Parcellation for fMRI Image Classification: Application to Schizophrenia and Normal Controls. MICCAI (2) Feng Shi, Yong Liu, Tianzi Jiang, Yuan Zhou, Wanlin Zhu, Jiefeng Jiang, Haihong Liu, Zhening Liu
2007	—	`conf`	Shape Analysis of Human Brain with Cognitive Disorders. HCI (12) Tianzi Jiang, Feng Shi, Wanlin Zhu, Shuyu Li, Xiaobo Li