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Picture for Dinggang Shen

Dinggang Shen

Fellow, IEEE

A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning


Feb 07, 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

* To appear in Medical Image Analysis 

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TSGCNet: Discriminative Geometric Feature Learning with Two-Stream GraphConvolutional Network for 3D Dental Model Segmentation


Dec 26, 2020
Lingming Zhang, Yue Zhao, Deyu Meng, Zhiming Cui, Chenqiang Gao, Xinbo Gao, Chunfeng Lian, Dinggang Shen

* 10 pages, 7 figures 

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Co-evolution of Functional Brain Network at Multiple Scales during Early Infancy


Sep 15, 2020
Xuyun Wen, Liming Hsu, Weili Lin, Han Zhang, Dinggang Shen

* 10 pages, 4 figures 

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


Sep 12, 2020
Peirong Liu, Zhengwang Wu, Gang Li, Pew-Thian Yap, Dinggang Shen

* Accepted as oral presentation at IPMI 2019 

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Learning-based Computer-aided Prescription Model for Parkinson's Disease: A Data-driven Perspective


Jul 31, 2020
Yinghuan Shi, Wanqi Yang, Kim-Han Thung, Hao Wang, Yang Gao, Yang Pan, Li Zhang, Dinggang Shen

* IEEE JBHI 2020 

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Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge


Jul 11, 2020
Yue Sun, Kun Gao, Zhengwang Wu, Zhihao Lei, Ying Wei, Jun Ma, Xiaoping Yang, Xue Feng, Li Zhao, Trung Le Phan, Jitae Shin, Tao Zhong, Yu Zhang, Lequan Yu, Caizi Li, Ramesh Basnet, M. Omair Ahmad, M. N. S. Swamy, Wenao Ma, Qi Dou, Toan Duc Bui, Camilo Bermudez Noguera, Bennett Landman, Ian H. Gotlib, Kathryn L. Humphreys, Sarah Shultz, Longchuan Li, Sijie Niu, Weili Lin, Valerie Jewells, Gang Li, Dinggang Shen, Li Wang


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Synergistic Learning of Lung Lobe Segmentation and Hierarchical Multi-Instance Classification for Automated Severity Assessment of COVID-19 in CT Images


May 24, 2020
Kelei He, Wei Zhao, Xingzhi Xie, Wen Ji, Mingxia Liu, Zhenyu Tang, Feng Shi, Yang Gao, Jun Liu, Junfeng Zhang, Dinggang Shen


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HF-UNet: Learning Hierarchically Inter-Task Relevance in Multi-Task U-Net for Accurate Prostate Segmentation


May 23, 2020
Kelei He, Chunfeng Lian, Bing Zhang, Xin Zhang, Xiaohuan Cao, Dong Nie, Yang Gao, Junfeng Zhang, Dinggang Shen


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TripletUNet: Multi-Task U-Net with Online Voxel-Wise Learning for Precise CT Prostate Segmentation


May 21, 2020
Kelei He, Chunfeng Lian, Ehsan Adeli, Jing Huo, Yinghuan Shi, Yang Gao, Bing Zhang, Junfeng Zhang, Dinggang Shen


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Dual-Sampling Attention Network for Diagnosis of COVID-19 from Community Acquired Pneumonia


May 20, 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

* accepted by IEEE Transactions on Medical Imaging, 2020 

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An Auto-Context Deformable Registration Network for Infant Brain MRI


May 19, 2020
Dongming Wei, Sahar Ahmad, Yunzhi Huang, Lei Ma, Qian Wang, Pew-Thian Yap, Dinggang Shen


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Joint Prediction and Time Estimation of COVID-19 Developing Severe Symptoms using Chest CT Scan


May 07, 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


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Hypergraph Learning for Identification of COVID-19 with CT Imaging


May 07, 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


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Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification with Chest CT


May 07, 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


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Diagnosis of Coronavirus Disease 2019 (COVID-19) with Structured Latent Multi-View Representation Learning


May 06, 2020
Hengyuan Kang, Liming Xia, Fuhua Yan, Zhibin Wan, Feng Shi, Huan Yuan, Huiting Jiang, Dijia Wu, He Sui, Changqing Zhang, Dinggang Shen


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Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19


Apr 07, 2020
Feng Shi, Jun Wang, Jun Shi, Ziyan Wu, Qian Wang, Zhenyu Tang, Kelei He, Yinghuan Shi, Dinggang Shen

* Added journal submission info 

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Lung Infection Quantification of COVID-19 in CT Images with Deep Learning


Mar 30, 2020
Fei Shan, Yaozong Gao, Jun Wang, Weiya Shi, Nannan Shi, Miaofei Han, Zhong Xue, Dinggang Shen, Yuxin Shi

* 23 pages, 6 figures 

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Severity Assessment of Coronavirus Disease 2019 (COVID-19) Using Quantitative Features from Chest CT Images


Mar 26, 2020
Zhenyu Tang, Wei Zhao, Xingzhi Xie, Zheng Zhong, Feng Shi, Jun Liu, Dinggang Shen


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Large-Scale Screening of COVID-19 from Community Acquired Pneumonia using Infection Size-Aware Classification


Mar 22, 2020
Feng Shi, Liming Xia, Fei Shan, Dijia Wu, Ying Wei, Huan Yuan, Huiting Jiang, Yaozong Gao, He Sui, Dinggang Shen


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Multifold Acceleration of Diffusion MRI via Slice-Interleaved Diffusion Encoding (SIDE)


Feb 25, 2020
Yoonmi Hong, Wei-Tang Chang, Geng Chen, Ye Wu, Weili Lin, Dinggang Shen, Pew-Thian Yap


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Automatic Data Augmentation via Deep Reinforcement Learning for Effective Kidney Tumor Segmentation


Feb 22, 2020
Tiexin Qin, Ziyuan Wang, Kelei He, Yinghuan Shi, Yang Gao, Dinggang Shen

* 5 pages, 3 figures 

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Automatic Data Augmentation by Learning the Deterministic Policy


Oct 22, 2019
Yinghuan Shi, Tiexin Qin, Yong Liu, Jiwen Lu, Yang Gao, Dinggang Shen

* Sorry for withdrawing our paper, there exists a mistake in the experiment, and we will reupload once we have fixed it 

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


Aug 27, 2019
Feihong Liu, Jun Feng, Pew-Thian Yap, Dinggang Shen

* 11 pages, 9 figures 

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Synthesis and Inpainting-Based MR-CT Registration for Image-Guided Thermal Ablation of Liver Tumors


Jul 30, 2019
Dongming Wei, Sahar Ahmad, Jiayu Huo, Wen Peng, Yunhao Ge, Zhong Xue, Pew-Thian Yap, Wentao Li, Dinggang Shen, Qian Wang

* Accepted in MICCAI 2019 

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