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Dinggang Shen

Shanghai United Imaging Intelligence, Co., Ltd. - R&D Department

SCHOLARLY PAPERS

7

DOWNLOADS

298

TOTAL CITATIONS

4

Scholarly Papers (7)

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1.

Mapping the Evolution of Regional Brain Network Efficiency and its Association with Infant Cognitive Abilities

Number of pages: 46 Posted: 07 Mar 2023
Weixiong Jiang, Zhen Zhou, Guoshi Li, Weiyan Yin, Zhengwang Wu, Li Wang, Maryam Ghanbari, Gang Li, Pew-Thian Yap, Brittany R. Howell, Martin A. Styner, Essa Yacoub, Heather Hazlett, John H. Gilmore, J. Keith Smith, Kamil Ugurbil, Jed T. Elison, Han Zhang, Dinggang Shen and Weili Lin
University of North Carolina (UNC) at Chapel Hill, University of North Carolina (UNC) at Chapel Hill, University of North Carolina (UNC) at Chapel Hill, University of North Carolina (UNC) at Chapel Hill, University of North Carolina (UNC) at Chapel Hill, University of North Carolina (UNC) at Chapel Hill, University of North Carolina (UNC) at Chapel Hill, University of North Carolina (UNC) at Chapel Hill, University of North Carolina (UNC) at Chapel Hill, University of Minnesota - Minneapolis - Institute of Child Development, University of North Carolina (UNC) at Chapel Hill, University of Michigan at Ann Arbor - University of Michigan Medical School, University of North Carolina (UNC) at Chapel Hill, University of North Carolina (UNC) at Chapel Hill - Department of Psychiatry, University of North Carolina (UNC) at Chapel Hill, University of Minnesota - Twin Cities - Center for Magnetic Resonance Research, University of Minnesota - Minneapolis - Institute of Child Development, ShanghaiTech University, Shanghai United Imaging Intelligence, Co., Ltd. - R&D Department and University of North Carolina (UNC) at Chapel Hill
Downloads 67 (907,769)

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Early Brain Development, Brain networks, Graph theory, Resting-state fMRI, Cognitive ability, Network efficiency

2.

Development of a fully automated deep learning system for preoperative HER2 status prediction in breast cancer using large-scale pretrained segmentation and multiparametric MRI classification

Number of pages: 26 Posted: 18 Sep 2025
Hongna Tan, Qingxia Wu, Xiaofei Tang, Ouyang Xi, Shunian Li, Jun Liao, Yaping Wu, Pei Dong, Zhong Xue, Dinggang Shen and Meiyun Wang
Zhengzhou University - Department of Radiology, United Imaging Intelligence, Ganzhou Cancer Hospital, Shanghai United Imaging Intelligence, Co., Ltd., Zhengzhou University - Department of Radiology, Zhengzhou University - Department of Radiology, Zhengzhou University - Department of Radiology, Shanghai United Imaging Intelligence, Co., Ltd., Shanghai United Imaging Intelligence, Co., Ltd., Shanghai United Imaging Intelligence, Co., Ltd. - R&D Department and Zhengzhou University - Department of Radiology
Downloads 57 (1,000,027)

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Deep Learning, Large-scale pretrained model, Magnetic resonance imaging, HER2, Breast cancer

3.

Transferring Ultrahigh-Field Representations for Intensity-Guided Brain Segmentation of Low-Field Magnetic Resonance Imaging

Number of pages: 34 Posted: 19 Sep 2025
Kwanseok Oh, Jieun Lee, Da-Woon Heo, Dinggang Shen and Heung-Il Suk
Korea University, Korea University, Korea University, Shanghai United Imaging Intelligence, Co., Ltd. - R&D Department and Korea University
Downloads 51 (1,063,489)
Citation 1

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Ultrahigh-Field MRI, Knowledge Transfer, Adaptive Fusion, Brain Tissue Segmentation, Whole brain segmentation

4.

Joint Selection of Brain Network Nodes and Edges for MCI Identification

Number of pages: 8 Posted: 02 May 2022
Xiao Jiang, Lishan Qiao, Renato De Leone and Dinggang Shen
Liaocheng University, Liaocheng University, University of Camerino and Shanghai United Imaging Intelligence, Co., Ltd. - R&D Department
Downloads 45 (1,133,231)
Citation 1

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Functional brain graph, Feature selection, Node-based method, Edge-based method, Sparse group LASSO (sgLASSO), MCI identification

5.

Domain Generalization for Mammographic Image Analysis with Contrastive Learning

Number of pages: 28 Posted: 27 Dec 2023
Zheren Li, Zhiming Cui, Lichi Zhang, Sheng Wang, Chenjin Lei, Ouyang Xi, Dongdong Chen, Xiangyu Zhao, Chunling Liu, Zaiyi Liu, Yajia Gu, Dinggang Shen and Jie-Zhi Cheng
affiliation not provided to SSRN, ShanghaiTech University, Shanghai Jiao Tong University (SJTU) - Institute for Medical Imaging Technology, affiliation not provided to SSRN, affiliation not provided to SSRN, Shanghai United Imaging Intelligence, Co., Ltd., affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Southern Medical University - Department of Radiology, Fudan University, Shanghai United Imaging Intelligence, Co., Ltd. - R&D Department and affiliation not provided to SSRN
Downloads 37 (1,222,651)
Citation 2

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Domain generalization, mammographic image analysis, contrastive learning

6.

A Multi-Center Performance Assessment for Automated Histopathological Classification and Grading of Glioma Using Whole Slide Images

Number of pages: 22 Posted: 13 Jul 2023
Lei Jin, Tianyang Sun, Xi Liu, Zehong Cao, Yan Liu, Hong Chen, Yixin Ma, Jun Zhang, Yaping Zou, Yingchao Liu, Feng Shi, Dinggang Shen and Jinsong Wu
Fudan University - Glioma Surgery Division, Shanghai United Imaging Intelligence, Co., Ltd. - R&D Department, Fudan University - Glioma Surgery Division, Shanghai United Imaging Intelligence, Co., Ltd. - R&D Department, Fudan University - Glioma Surgery Division, Fudan University - National Center for Neurological Disorders, Fudan University - Glioma Surgery Division, Wuhan Zhongji Biotechnology Co., Ltd., Wuhan Zhongji Biotechnology Co., Ltd., Shandong First Medical University - Department of Neurosurgery, Shanghai United Imaging Intelligence, Co., Ltd. - R&D Department, Shanghai United Imaging Intelligence, Co., Ltd. - R&D Department and Fudan University - Glioma Surgery Division
Downloads 29 (1,345,526)

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neuropathology, histology, deep learning, multi-center, clinical practice

7.

Development and validation of a fully automated deep learning approach for preoperative HER2 status prediction using multiparametric breast MRI

Number of pages: 32 Posted: 10 Feb 2026
Shunian Li, Qingxia Wu, Xiaofei Tang, Ouyang Xi, Jun Liao, Pei Dong, Zhong Xue, Dinggang Shen, Meiyun Wang and Hongna Tan
Zhengzhou University - Department of Radiology, United Imaging Intelligence, Ganzhou Cancer Hospital, Shanghai United Imaging Intelligence, Co., Ltd., Zhengzhou University - Department of Radiology, Shanghai United Imaging Intelligence, Co., Ltd., Shanghai United Imaging Intelligence, Co., Ltd., Shanghai United Imaging Intelligence, Co., Ltd. - R&D Department, Zhengzhou University - Department of Radiology and Zhengzhou University - Department of Radiology
Downloads 12 (1,541,665)

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Deep learning, Magnetic resonance imaging, HER2, Breast cancer