Feng Shi

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 109

Top Venues

CoRR

Medical Image Anal.

IEEE Trans. Medical Imaging

MLMI@MICCAI

Publications

Yuhang Sun, Yuning Gu, Feng Shi, Jiameng Liu, Guoqiang Li, Qianjin Feng, Dinggang Shen
Coarse-to-fine registration and time-intensity curves constraint for liver DCE-MRI synthesis. Comput. Medical Imaging Graph. 111 (2024)
Junbang Feng, Dongming Hui, Qingqing Zheng, Yi Guo, Yuwei Xia, Feng Shi, Qing Zhou, Fei Yu, Xiaojing He, Shike Wang, Chuanming Li
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 178 (2024)
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
Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge. Medical Image Anal. 97 (2024)
Lin Teng, Zihao Zhao, Jiawei Huang, Zehong Cao, Runqi Meng, Feng Shi, Dinggang Shen
Knowledge-Guided Prompt Learning for Lifespan Brain MR Image Segmentation. CoRR (2024)
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
Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge. CoRR (2023)
Mianxin Liu, Jingyang Zhang, Yao Wang, Yan Zhou, Fang Xie, Qihao Guo, Feng Shi, Han Zhang, Qian Wang, Dinggang Shen
Deep learning reveals the common spectrum underlying multiple brain disorders in youth and elders from brain functional networks. CoRR (2023)
Xingyu Gao, Hongrui Liu, Feng Shi, Dinggang Shen, Manhua Liu
Brain Status Transferring Generative Adversarial Network for Decoding Individualized Atrophy in Alzheimer's Disease. IEEE J. Biomed. Health Informatics 27 (10) (2023)
Chaolin Li, Mianxin Liu, Jing Xia, Lang Mei, Qing Yang, Feng Shi, Han Zhang, Dinggang Shen
Individualized Assessment of Brain Aβ Deposition With fMRI Using Deep Learning. IEEE J. Biomed. Health Informatics 27 (11) (2023)
Haonan Zhang, Yuhan Zhang, Qing Wu, Jiangjie Wu, Zhiming Zhen, Feng Shi, Jianmin Yuan, Hongjiang Wei, Chen Liu, Yuyao Zhang
Self-Supervised Arbitrary Scale Super-Resolution Framework for Anisotropic MRI. ISBI (2023)
Yanbei Liu, Henan Li, Tao Luo, Changqing Zhang, Zhitao Xiao, Ying Wei, Yaozong Gao, Feng Shi, Fei Shan, Dinggang Shen
Structural Attention Graph Neural Network for Diagnosis and Prediction of COVID-19 Severity. IEEE Trans. Medical Imaging 42 (2) (2023)
Yuhang Sun, Jiameng Liu, Feihong Liu, Kaicong Sun, Han Zhang, Feng Shi, Qianjin Feng, Dinggang Shen
Consistent and Accurate Segmentation for Serial Infant Brain MR Images with Registration Assistance. MLMI@MICCAI (1) (2023)
Jinrong Yang, Xiang Li, Jie-Zhi Cheng, Zhong Xue, Feng Shi, Yuqing Ji, Xuechun Wang, Fan Yang
Segment aorta and localize landmarks simultaneously on noncontrast CT using a multitask learning framework for patients without severe vascular disease. Comput. Biol. Medicine 160 (2023)
Xingyu Gao, Feng Shi, Dinggang Shen, Manhua Liu
Feature-Based Transformer with Incomplete Multimodal Brain Images for Diagnosis of Neurodegenerative Diseases. PRIME@MICCAI (2023)
Wenqi Zhou, Xiao Zhang, Dongdong Gu, Sheng Wang, Jiayu Huo, Rui Zhang, Zhihao Jiang, Feng Shi, Zhong Xue, Yiqiang Zhan, Xi Ouyang, Dinggang Shen
HENet: Hierarchical Enhancement Network for Pulmonary Vessel Segmentation in Non-contrast CT Images. MICCAI (3) (2023)
Lei Zhao, Lei Ma, Zhiming Cui, Jie Zheng, Zhong Xue, Feng Shi, Dinggang Shen
FAST-Net: A Coarse-to-fine Pyramid Network for Face-Skull Transformation. MLMI@MICCAI (2) (2023)
Xiaoxian Xu, Ying Wei, Jie Zheng, Zhongxiang Ding, Yiqiang Zhan, Xiang Sean Zhou, Zhong Xue, Feng Shi, Dinggang Shen
Multi-Scale Supervised Contrastive Learning for Benign-Malignant Classification of Pulmonary Nodules in Chest Ct Scans. ISBI (2023)
Nan Zhao, Yongsheng Pan, Kaicong Sun, Yuning Gu, Mianxin Liu, Zhong Xue, Han Zhang, Qing Yang, Fei Gao, Feng Shi, Dinggang Shen
Modeling Life-Span Brain Age from Large-Scale Dataset Based on Multi-level Information Fusion. MLMI@MICCAI (2) (2023)
Feihong Liu, Yongsheng Pan, Junwei Yang, Fang Xie, Xiaowei He, Han Zhang, Feng Shi, Jun Feng, Qihao Guo, Dinggang Shen
Identifying Alzheimer's Disease-Induced Topology Alterations in Structural Networks Using Convolutional Neural Networks. MLMI@MICCAI (2) (2023)
Qi Zhu, Yuze Zhou, Yuan Yao, Liang Sun, Feng Shi, Wei Shao, Daoqiang Zhang, Dinggang Shen
Semi-Supervised Multi-View Fusion for Identifying CAP and COVID-19 With Unlabeled CT Images. IEEE Trans. Emerg. Top. Comput. Intell. 7 (3) (2023)
Xingyu Gao, Feng Shi, Dinggang Shen, Manhua Liu
Multimodal transformer network for incomplete image generation and diagnosis of Alzheimer's disease. Comput. Medical Imaging Graph. 110 (2023)
Linlin Yao, Feng Shi, Sheng Wang, Xiao Zhang, Zhong Xue, Xiaohuan Cao, Yiqiang Zhan, Lizhou Chen, Yuntian Chen, Bin Song, Qian Wang, Dinggang Shen
TaG-Net: Topology-Aware Graph Network for Centerline-Based Vessel Labeling. IEEE Trans. Medical Imaging 42 (11) (2023)
Xiaozhao Liu, Mianxin Liu, Lang Mei, Yuyao Zhang, Feng Shi, Han Zhang, Dinggang Shen
Mining Fmri Dynamics with Parcellation Prior for Brain Disease Diagnosis. ISBI (2023)
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
MT-NeT: Multi-Modality Transfer Learning Network for Automated Carotid Vessel Wall Segmentation using Sparse Annotation in MRI. ISBI (2023)
Xingyu Gao, Feng Shi, Dinggang Shen, Manhua Liu
Task-Induced Pyramid and Attention GAN for Multimodal Brain Image Imputation and Classification in Alzheimer's Disease. IEEE J. Biomed. Health Informatics 26 (1) (2022)
Linlin Yao, Zhong Xue, Yiqiang Zhan, Lizhou Chen, Yuntian Chen, Bin Song, Qian Wang, Feng Shi, Dinggang Shen
TaG-Net: Topology-Aware Graph Network for Vessel Labeling. ISGIE/GRAIL@MICCAI (2022)
Linlin Yao, Zhong Xue, Yiqiang Zhan, Lizhou Chen, Yuntian Chen, Bin Song, Qian Wang, Feng Shi, Dinggang Shen
Head and Neck Vessel Segmentation with Connective Topology Using Affinity Graph. MLMI@MICCAI (2022)
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
Cross-Site Severity Assessment of COVID-19 From CT Images via Domain Adaptation. IEEE Trans. Medical Imaging 41 (1) (2022)
Xin Tang, Jiadong Zhang, Yongsheng Pan, Yuyao Zhang, Feng Shi
CSGAN: Synthesis-Aided Brain MRI Segmentation on 6-Month Infants. DALI@MICCAI (2022)
Lang Mei, Mianxin Liu, Lingbin Bian, Yuyao Zhang, Feng Shi, Han Zhang, Dinggang Shen
Modular Graph Encoding and Hierarchical Readout for Functional Brain Network Based eMCI Diagnosis. ISGIE/GRAIL@MICCAI (2022)
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
Semi-Supervised Deep Transfer Learning for Benign-Malignant Diagnosis of Pulmonary Nodules in Chest CT Images. IEEE Trans. Medical Imaging 41 (4) (2022)
Yuyan Ge, Zhenyu Tang, Lei Ma, Caiwen Jiang, Feng Shi, Shaoyi Du, Dinggang Shen
Multi-scale and Focal Region Based Deep Learning Network for Fine Brain Parcellation. MLMI@MICCAI (2022)
Mianxin Liu, Han Zhang, Feng Shi, Dinggang Shen
Hierarchical Graph Convolutional Network Built by Multiscale Atlases for Brain Disorder Diagnosis Using Functional Connectivity. CoRR (2022)
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
Cross-Site Severity Assessment of COVID-19 from CT Images via Domain Adaptation. CoRR (2021)
Qi Zhu, Haizhou Ye, Liang Sun, Zhongnian Li, Ran Wang, Feng Shi, Dinggang Shen, Daoqiang Zhang
GACDN: generative adversarial feature completion and diagnosis network for COVID-19. BMC Medical Imaging 21 (1) (2021)
Xiaofeng Zhu, Bin Song, Feng Shi, Yanbo Chen, Rongyao Hu, Jiangzhang Gan, Wenhai Zhang, Man Li, Liye Wang, Yaozong Gao, Fei Shan, Dinggang Shen
Joint prediction and time estimation of COVID-19 developing severe symptoms using chest CT scan. Medical Image Anal. 67 (2021)
Jie Wei, Feng Shi, Zhiming Cui, Yongsheng Pan, Yong Xia, Dinggang Shen
Consistent Segmentation of Longitudinal Brain MR Images with Spatio-Temporal Constrained Networks. MICCAI (1) (2021)
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
Computing infection distributions and longitudinal evolution patterns in lung CT images. BMC Medical Imaging 21 (1) (2021)
Zhiming Cui, Changjian Li, Lei Yang, Chunfeng Lian, Feng Shi, Wenping Wang, Dijia Wu, Dinggang Shen
VertNet: Accurate Vertebra Localization and Identification Network from CT Images. MICCAI (5) (2021)
Mengkang Lu, Yongsheng Pan, Dong Nie, Feihong Liu, Feng Shi, Yong Xia, Dinggang Shen
SMILE: Sparse-Attention based Multiple Instance Contrastive Learning for Glioma Sub-Type Classification Using Pathological Images. COMPAY@MICCAI (2021)
Mianxin Liu, Han Zhang, Feng Shi, Dinggang Shen
Building Dynamic Hierarchical Brain Networks and Capturing Transient Meta-states for Early Mild Cognitive Impairment Diagnosis. MICCAI (7) (2021)
Zekun Li, Wei Zhao, Feng Shi, Lei Qi, Xingzhi Xie, Ying Wei, Zhongxiang Ding, Yang Gao, Shangjie Wu, Jun Liu, Yinghuan Shi, Dinggang Shen
A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning. Medical Image Anal. 69 (2021)
Zekun Li, Wei Zhao, Feng Shi, Lei Qi, Xingzhi Xie, Ying Wei, Zhongxiang Ding, Yang Gao, Shangjie Wu, Jun Liu, Yinghuan Shi, Dinggang Shen
A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning. CoRR (2021)
Xiaodan Xing, Yixin Ma, Lei Jin, Tianyang Sun, Zhong Xue, Feng Shi, Jinsong Wu, Dinggang Shen
A Multi-scale Graph Network with Multi-head Attention for Histopathology Image Diagnosisn. COMPAY@MICCAI (2021)
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
Hypergraph learning for identification of COVID-19 with CT imaging. Medical Image Anal. 68 (2021)
Heng Lin, Yuanfang Qiao, Feng Shi, Dahong Qian, Na Hu, Lizhou Chen, Bin Song, Ke Wu, Lichi Zhang
Multi-Task Learning for False-Positive Reduction and Segmentation of Cerebral Aneurysms in CTA Scans. CISP-BMEI (2021)
Yuhua Chen, Anthony G. Christodoulou, Zhengwei Zhou, Feng Shi, Yibin Xie, Debiao Li
MRI Super-Resolution with GAN and 3D Multi-Level DenseNet: Smaller, Faster, and Better. CoRR (2020)
Tao Zhou, Kim-Han Thung, Mingxia Liu, Feng Shi, Changqing Zhang, Dinggang Shen
Multi-modal latent space inducing ensemble SVM classifier for early dementia diagnosis with neuroimaging data. Medical Image Anal. 60 (2020)
Xiaodan Xing, Lili Jin, Qinfeng Li, Lei Chen, Zhong Xue, Ziwen Peng, Feng Shi, Dinggang Shen
Detection of Discriminative Neurological Circuits Using Hierarchical Graph Convolutional Networks in fMRI Sequences. UNSURE/GRAIL@MICCAI (2020)
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
Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification with Chest CT. CoRR (2020)
Feng Shi, Liming Xia, Fei Shan, Dijia Wu, Ying Wei, Huan Yuan, Huiting Jiang, Yaozong Gao, He Sui, Dinggang Shen
Large-Scale Screening of COVID-19 from Community Acquired Pneumonia using Infection Size-Aware Classification. CoRR (2020)
Jianyuan Zhang, Feng Shi, Lei Chen, Zhong Xue, Lichi Zhang, Dahong Qian
Ischemic Stroke Segmentation from CT Perfusion Scans Using Cluster-Representation Learning. MLCN/RNO-AI@MICCAI (2020)
Xiaofeng Zhu, Bin Song, Feng Shi, Yanbo Chen, Rongyao Hu, Jiangzhang Gan, Wenhai Zhang, Man Li, Liye Wang, Yaozong Gao, Fei Shan, Dinggang Shen
Joint Prediction and Time Estimation of COVID-19 Developing Severe Symptoms using Chest CT Scan. CoRR (2020)
Rui Hua, Quan Huo, Yaozong Gao, He Sui, Bing Zhang, Yu Sun, Zhanhao Mo, Feng Shi
Segmenting Brain Tumor Using Cascaded V-Nets in Multimodal MR Images. Frontiers Comput. Neurosci. 14 (2020)
Biao Jie, Mingxia Liu, Chunfeng Lian, Feng Shi, Dinggang Shen
Designing weighted correlation kernels in convolutional neural networks for functional connectivity based brain disease diagnosis. Medical Image Anal. 63 (2020)
Hengyuan Kang, Liming Xia, Fuhua Yan, Zhibin Wan, Feng Shi, Huan Yuan, Huiting Jiang, Dijia Wu, He Sui, Changqing Zhang, Dinggang Shen
Diagnosis of Coronavirus Disease 2019 (COVID-19) With Structured Latent Multi-View Representation Learning. IEEE Trans. Medical Imaging 39 (8) (2020)
Bin Xiao, Naying He, Qian Wang, Zhong Xue, Lei Chen, Fuhua Yan, Feng Shi, Dinggang Shen
Joint Appearance-Feature Domain Adaptation: Application to QSM Segmentation Transfer. MLMI@MICCAI (2020)
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
Dual-Sampling Attention Network for Diagnosis of COVID-19 From Community Acquired Pneumonia. IEEE Trans. Medical Imaging 39 (8) (2020)
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
Hypergraph Learning for Identification of COVID-19 with CT Imaging. CoRR (2020)
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
Dual-Sampling Attention Network for Diagnosis of COVID-19 from Community Acquired Pneumonia. CoRR (2020)
Hengyuan Kang, Liming Xia, Fuhua Yan, Zhibin Wan, Feng Shi, Huan Yuan, Huiting Jiang, Dijia Wu, He Sui, Changqing Zhang, Dinggang Shen
Diagnosis of Coronavirus Disease 2019 (COVID-19) with Structured Latent Multi-View Representation Learning. CoRR (2020)
Linlin Yao, Pengbo Jiang, Zhong Xue, Yiqiang Zhan, Dijia Wu, Lichi Zhang, Qian Wang, Feng Shi, Dinggang Shen
Graph Convolutional Network Based Point Cloud for Head and Neck Vessel Labeling. MLMI@MICCAI (2020)
Hancan Zhu, Ehsan Adeli, Feng Shi, Dinggang Shen
FCN Based Label Correction for Multi-Atlas Guided Organ Segmentation. Neuroinformatics 18 (2) (2020)
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
Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification With Chest CT. IEEE J. Biomed. Health Informatics 24 (10) (2020)
Tong Li, Zhuochen Wang, Yanbo Chen, Lichi Zhang, Yaozong Gao, Feng Shi, Dahong Qian, Qian Wang, Dinggang Shen
Two-Stage Mapping-Segmentation Framework for Delineating COVID-19 Infections from Heterogeneous CT Images. TIA@MICCAI (2020)
Xiaodan Xing, Lili Jin, Feng Shi, Ziwen Peng
Diagnosis of OCD using functional connectome and Riemann kernel PCA. Medical Imaging: Computer-Aided Diagnosis (2019)
Feng Shi, Qi Yang, Xiuhai Guo, Touseef Ahmad Qureshi, Zixiao Tian, Huijuan Miao, Damini Dey, Debiao Li, Zhaoyang Fan
Intracranial Vessel Wall Segmentation Using Convolutional Neural Networks. IEEE Trans. Biomed. Eng. 66 (10) (2019)
Qingfeng Li, Xiaodan Xing, Ying Sun, Bin Xiao, Hao Wei, Quan Huo, Minqing Zhang, Xiang Sean Zhou, Yiqiang Zhan, Zhong Xue, Feng Shi
Novel Iterative Attention Focusing Strategy for Joint Pathology Localization and Prediction of MCI Progression. MICCAI (4) (2019)
Ehsan Adeli, Kim-Han Thung, Le An, Guorong Wu, Feng Shi, Tao Wang, Dinggang Shen
Semi-Supervised Discriminative Classification Robust to Sample-Outliers and Feature-Noises. IEEE Trans. Pattern Anal. Mach. Intell. 41 (2) (2019)
Bin Xiao, Xiaoqing Cheng, Qingfeng Li, Qian Wang, Lichi Zhang, Dongming Wei, Yiqiang Zhan, Xiang Sean Zhou, Zhong Xue, Guangming Lu, Feng Shi
Weakly Supervised Confidence Learning for Brain MR Image Dense Parcellation. MLMI@MICCAI (2019)
Hao Wei, Xiangyu Tang, Minqing Zhang, Qingfeng Li, Xiaodan Xing, Xiang Sean Zhou, Zhong Xue, Wenzhen Zhu, Zailiang Chen, Feng Shi
Regression-Based Line Detection Network for Delineation of Largely Deformed Brain Midline. MICCAI (3) (2019)
Yongqin Zhang, Feng Shi, Jian Cheng, Li Wang, Pew-Thian Yap, Dinggang Shen
Longitudinally Guided Super-Resolution of Neonatal Brain Magnetic Resonance Images. IEEE Trans. Cybern. 49 (2) (2019)
Xiaodan Xing, Qingfeng Li, Hao Wei, Minqing Zhang, Yiqiang Zhan, Xiang Sean Zhou, Zhong Xue, Feng Shi
Dynamic Spectral Graph Convolution Networks with Assistant Task Training for Early MCI Diagnosis. MICCAI (4) (2019)
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
Computational neuroanatomy of baby brains: A review. NeuroImage 185 (2019)
Hancan Zhu, Feng Shi, Li Wang, Sheng-Che Hung, Meng-Hsiang Chen, Shuai Wang, Weili Lin, Dinggang Shen
Dilated Dense U-Net for Infant Hippocampus Subfield Segmentation. Frontiers Neuroinformatics 13 (2019)
Qingfeng Li, Quan Huo, Xiaodan Xing, Yiqiang Zhan, Xiang Sean Zhou, Feng Shi
Spatial and depth weighted neural network for diagnosis of Alzheimer's disease. Medical Imaging: Computer-Aided Diagnosis (2019)
Li Wang, Gang Li, Feng Shi, Xiaohuan Cao, Chunfeng Lian, Dong Nie, Mingxia Liu, Han Zhang, Guannan Li, Zhengwang Wu, Weili Lin, Dinggang Shen
Volume-Based Analysis of 6-Month-Old Infant Brain MRI for Autism Biomarker Identification and Early Diagnosis. MICCAI (3) (2018)
Siming Yan, Feng Shi, Yuhua Chen, Damini Dey, Sang-Eun Lee, Hyuk-Jae Chang, Debiao Li, Yibin Xie
Calcium Removal From Cardiac CT Images Using Deep Convolutional Neural Network. CoRR (2018)
Tao Zhou, Kim-Han Thung, Mingxia Liu, Feng Shi, Changqing Zhang, Dinggang Shen
Multi-modal Neuroimaging Data Fusion via Latent Space Learning for Alzheimer's Disease Diagnosis. PRIME@MICCAI (2018)
Zhengwang Wu, Gang Li, Li Wang, Feng Shi, Weili Lin, John H. Gilmore, Dinggang Shen
Registration-Free Infant Cortical Surface Parcellation Using Deep Convolutional Neural Networks. MICCAI (3) (2018)
Rui Hua, Quan Huo, Yaozong Gao, Yu Sun, Feng Shi
Multimodal Brain Tumor Segmentation Using Cascaded V-Nets. BrainLes@MICCAI (2) (2018)
Biao Jie, Mingxia Liu, Chunfeng Lian, Feng Shi, Dinggang Shen
Developing Novel Weighted Correlation Kernels for Convolutional Neural Networks to Extract Hierarchical Functional Connectivities from fMRI for Disease Diagnosis. MLMI@MICCAI (2018)
Yuhua Chen, Feng Shi, Anthony G. Christodoulou, Yibin Xie, Zhengwei Zhou, Debiao Li
Efficient and Accurate MRI Super-Resolution Using a Generative Adversarial Network and 3D Multi-level Densely Connected Network. MICCAI (1) (2018)
Yuhua Chen, Yibin Xie, Zhengwei Zhou, Feng Shi, Anthony G. Christodoulou, Debiao Li
Brain MRI Super Resolution Using 3D Deep Densely Connected Neural Networks. CoRR (2018)
Yuhua Chen, Yibin Xie, Zhengwei Zhou, Feng Shi, Anthony G. Christodoulou, Debiao Li
Brain MRI super resolution using 3D deep densely connected neural networks. ISBI (2018)
Zhengwang Wu, Yaozong Gao, Feng Shi, Guangkai Ma, Valerie Jewells, Dinggang Shen
Segmenting hippocampal subfields from 3T MRI with multi-modality images. Medical Image Anal. 43 (2018)
Siming Yan, Feng Shi, Yuhua Chen, Damini Dey, Sang-Eun Lee, Hyuk-Jae Chang, Debiao Li, Yibin Xie
Calcium removal from cardiac ct images using deep convolutional neural network. ISBI (2018)
Yuhua Chen, Feng Shi, Anthony G. Christodoulou, Zhengwei Zhou, Yibin Xie, Debiao Li
Efficient and Accurate MRI Super-Resolution using a Generative Adversarial Network and 3D Multi-Level Densely Connected Network. CoRR (2018)
Khosro Bahrami, Islem Rekik, Feng Shi, Dinggang Shen
Joint Reconstruction and Segmentation of 7T-like MR Images from 3T MRI Based on Cascaded Convolutional Neural Networks. MICCAI (1) (2017)
Yan Wang, Guangkai Ma, Le An, Feng Shi, Pei Zhang, David S. Lalush, Xi Wu, Yi-Fei Pu, Jiliu Zhou, Dinggang Shen
Semisupervised Tripled Dictionary Learning for Standard-Dose PET Image Prediction Using Low-Dose PET and Multimodal MRI. IEEE Trans. Biomed. Eng. 64 (3) (2017)
Li Wang, Yaozong Gao, Gang Li, Feng Shi, Weili Lin, Dinggang Shen
LATEST: Local AdapTivE and Sequential Training for Tissue Segmentation of Isointense Infant Brain MR Images. MCV/BAMBI@MICCAI (2016)
Zhengwang Wu, Yaozong Gao, Feng Shi, Valerie Jewells, Dinggang Shen
Automatic Hippocampal Subfield Segmentation from 3T Multi-modality Images. MLMI@MICCAI (2016)
Khosro Bahrami, Feng Shi, Xiaopeng Zong, Hae Won Shin, Hongyu An, Dinggang Shen
Reconstruction of 7T-Like Images From 3T MRI. IEEE Trans. Medical Imaging 35 (9) (2016)
Khosro Bahrami, Feng Shi, Islem Rekik, Dinggang Shen
Convolutional Neural Network for Reconstruction of 7T-like Images from 3T MRI Using Appearance and Anatomical Features. LABELS/DLMIA@MICCAI (2016)
Ehsan Adeli, Feng Shi, Le An, Chong-Yaw Wee, Guorong Wu, Tao Wang, Dinggang Shen
Joint feature-sample selection and robust diagnosis of Parkinson's disease from MRI data. NeuroImage 141 (2016)
Yuyao Zhang, Feng Shi, Guorong Wu, Li Wang, Pew-Thian Yap, Dinggang Shen
Consistent Spatial-Temporal Longitudinal Atlas Construction for Developing Infant Brains. IEEE Trans. Medical Imaging 35 (12) (2016)
Behrouz Saghafi, Geng Chen, Feng Shi, Pew-Thian Yap, Dinggang Shen
Construction of Neonatal Diffusion Atlases via Spatio-Angular Consistency. Patch-MI@MICCAI (2016)
Khosro Bahrami, Islem Rekik, Feng Shi, Yaozong Gao, Dinggang Shen
7T-Guided Learning Framework for Improving the Segmentation of 3T MR Images. MICCAI (2) (2016)
Le An, Pei Zhang, Ehsan Adeli-Mosabbeb, Yan Wang, Guangkai Ma, Feng Shi, David S. Lalush, Weili Lin, Dinggang Shen
Multi-Level Canonical Correlation Analysis for Standard-Dose PET Image Estimation. IEEE Trans. Image Process. 25 (7) (2016)
Le An, Pei Zhang, Ehsan Adeli-Mosabbeb, Yan Wang, Guangkai Ma, Feng Shi, David S. Lalush, Weili Lin, Dinggang Shen
A Multi-level Canonical Correlation Analysis Scheme for Standard-Dose PET Image Estimation. Patch-MI@MICCAI (2015)
Yuyao Zhang, Feng Shi, Pew-Thian Yap, Dinggang Shen
Space-Frequency Detail-Preserving Construction of Neonatal Brain Atlases. MICCAI (2) (2015)

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Publication Activity (10 Years)

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Feng Shi