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Shidan Wang

Showing results (41-50 of 56) with videos related to

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Genome Biology|June 11, 2026
MicNet: integrating spatially resolved transcriptomes and pathology images by contrastive deep neural networkShidan Wang, Qin Zhou, Yuansheng Zhou, et al.
Research Square|July 18, 2023
Deep Learning of Cell Spatial Organizations Identifies Clinically Relevant Insights in Tissue ImagesShidan Wang, Ruichen Rong, Donghan M Yang, et al.
Genes|April 28, 2023
Deep-Learning-Based Hepatic Ploidy Quantification Using H&E Histopathology ImagesZhuoyu Wen, Yu-Hsuan Lin, Shidan Wang, et al.
NPJ Digital Medicine|May 1, 2024
A critical assessment of using ChatGPT for extracting structured data from clinical notesJingwei Huang, Donghan M Yang, Ruichen Rong, et al.
Laboratory Investigation; a Journal of Technical Methods and Pathology|November 11, 2024
Cell Segmentation With Globally Optimized Boundaries (CSGO): A Deep Learning Pipeline for Whole-Cell Segmentation in Hematoxylin-and-Eosin-Stained TissuesZifan Gu, Shidan Wang, Ruichen Rong, et al.
Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc|April 26, 2023
A Deep Learning Approach for Histology-Based Nucleus Segmentation and Tumor Microenvironment CharacterizationRuichen Rong, Hudanyun Sheng, Kevin W Jin, et al.
Nature Communications|December 11, 2023
Deep learning of cell spatial organizations identifies clinically relevant insights in tissue imagesShidan Wang, Ruichen Rong, Qin Zhou, et al.
Gastroenterology|January 24, 2020
Mice With Increased Numbers of Polyploid Hepatocytes Maintain Regenerative Capacity But Develop Fewer Hepatocellular Carcinomas Following Chronic Liver InjuryYu-Hsuan Lin, Shuyuan Zhang, Min Zhu, et al.
Ebiomedicine|November 27, 2019
ConvPath: A software tool for lung adenocarcinoma digital pathological image analysis aided by a convolutional neural networkShidan Wang, Tao Wang, Lin Yang, et al.
Cancer Research|January 10, 2020
Computational Staining of Pathology Images to Study the Tumor Microenvironment in Lung CancerShidan Wang, Ruichen Rong, Donghan M Yang, et al.
Pageof 6

Showing results (41-50 of 56) with videos related to

Sort By:
Pageof 6
Genome Biology|June 11, 2026
MicNet: integrating spatially resolved transcriptomes and pathology images by contrastive deep neural networkShidan Wang, Qin Zhou, Yuansheng Zhou, et al.
Research Square|July 18, 2023
Deep Learning of Cell Spatial Organizations Identifies Clinically Relevant Insights in Tissue ImagesShidan Wang, Ruichen Rong, Donghan M Yang, et al.
Genes|April 28, 2023
Deep-Learning-Based Hepatic Ploidy Quantification Using H&E Histopathology ImagesZhuoyu Wen, Yu-Hsuan Lin, Shidan Wang, et al.
NPJ Digital Medicine|May 1, 2024
A critical assessment of using ChatGPT for extracting structured data from clinical notesJingwei Huang, Donghan M Yang, Ruichen Rong, et al.
Laboratory Investigation; a Journal of Technical Methods and Pathology|November 11, 2024
Cell Segmentation With Globally Optimized Boundaries (CSGO): A Deep Learning Pipeline for Whole-Cell Segmentation in Hematoxylin-and-Eosin-Stained TissuesZifan Gu, Shidan Wang, Ruichen Rong, et al.
Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc|April 26, 2023
A Deep Learning Approach for Histology-Based Nucleus Segmentation and Tumor Microenvironment CharacterizationRuichen Rong, Hudanyun Sheng, Kevin W Jin, et al.
Nature Communications|December 11, 2023
Deep learning of cell spatial organizations identifies clinically relevant insights in tissue imagesShidan Wang, Ruichen Rong, Qin Zhou, et al.
Gastroenterology|January 24, 2020
Mice With Increased Numbers of Polyploid Hepatocytes Maintain Regenerative Capacity But Develop Fewer Hepatocellular Carcinomas Following Chronic Liver InjuryYu-Hsuan Lin, Shuyuan Zhang, Min Zhu, et al.
Ebiomedicine|November 27, 2019
ConvPath: A software tool for lung adenocarcinoma digital pathological image analysis aided by a convolutional neural networkShidan Wang, Tao Wang, Lin Yang, et al.
Cancer Research|January 10, 2020
Computational Staining of Pathology Images to Study the Tumor Microenvironment in Lung CancerShidan Wang, Ruichen Rong, Donghan M Yang, et al.
Pageof 6