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Shaoting Zhang

Showing results (171-180 of 191) with videos related to

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Oncogene|May 17, 2024
RAF1 facilitates KIT signaling and serves as a potential treatment target for gastrointestinal stromal tumorLiangying Zhang, Shaoting Zhang, Xu Cao, et al.
Cell & Bioscience|July 2, 2024
Entry of ZSWIM4 to the nucleus is crucial for its inhibition of KIT and BMAL1 in gastrointestinal stromal tumorsXu Cao, Jinhai Tian, Man Yee Cheung, et al.
NPJ Precision Oncology|March 28, 2024
Artificial intelligence-based assessment of PD-L1 expression in diffuse large B cell lymphomaFang Yan, Qian Da, Hongmei Yi, et al.
Patterns (New York, N.Y.)|January 8, 2025
An objective quantitative diagnosis of depression using a local-to-global multimodal fusion graph neural networkShuyu Liu, Jingjing Zhou, Xuequan Zhu, et al.
IEEE Journal of Biomedical and Health Informatics|March 25, 2026
MedSegAgent: A Universal and Scalable Multi-Agent System for Instructive Medical Image SegmentationZiyan Huang, Haoyu Wang, Jin Ye, et al.
Gastric Cancer : Official Journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association|May 24, 2023
SPRY4 inhibits and sensitizes the primary KIT mutants in gastrointestinal stromal tumors (GISTs) to imatinibShujing Li, Sien Zhao, Nianhai Liang, et al.
Medical Image Analysis|August 3, 2024
TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformersJieneng Chen, Jieru Mei, Xianhang Li, et al.
Molecular Carcinogenesis|September 22, 2023
DDR1/2 enhance KIT activation and imatinib resistance of primary and secondary KIT mutants in gastrointestinal stromal tumorsAnbu Liu, Shaoting Zhang, Ming Wang, et al.
Molecular Carcinogenesis|April 17, 2024
Four and a half LIM domains 2 (FHL2) attenuates tumorigenesis of gastrointestinal stromal tumors (GISTs) by negatively regulating KIT signalingShaoting Zhang, Liangying Zhang, Dan Zhang, et al.
Radiology. Artificial Intelligence|September 10, 2025
An Explainable Deep Learning Model for Focal Liver Lesion Diagnosis Using Multiparametric MRIZhehan Shen, Lingzhi Chen, Lilong Wang, et al.
Pageof 20

Showing results (171-180 of 191) with videos related to

Sort By:
Pageof 20
Oncogene|May 17, 2024
RAF1 facilitates KIT signaling and serves as a potential treatment target for gastrointestinal stromal tumorLiangying Zhang, Shaoting Zhang, Xu Cao, et al.
Cell & Bioscience|July 2, 2024
Entry of ZSWIM4 to the nucleus is crucial for its inhibition of KIT and BMAL1 in gastrointestinal stromal tumorsXu Cao, Jinhai Tian, Man Yee Cheung, et al.
NPJ Precision Oncology|March 28, 2024
Artificial intelligence-based assessment of PD-L1 expression in diffuse large B cell lymphomaFang Yan, Qian Da, Hongmei Yi, et al.
Patterns (New York, N.Y.)|January 8, 2025
An objective quantitative diagnosis of depression using a local-to-global multimodal fusion graph neural networkShuyu Liu, Jingjing Zhou, Xuequan Zhu, et al.
IEEE Journal of Biomedical and Health Informatics|March 25, 2026
MedSegAgent: A Universal and Scalable Multi-Agent System for Instructive Medical Image SegmentationZiyan Huang, Haoyu Wang, Jin Ye, et al.
Gastric Cancer : Official Journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association|May 24, 2023
SPRY4 inhibits and sensitizes the primary KIT mutants in gastrointestinal stromal tumors (GISTs) to imatinibShujing Li, Sien Zhao, Nianhai Liang, et al.
Medical Image Analysis|August 3, 2024
TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformersJieneng Chen, Jieru Mei, Xianhang Li, et al.
Molecular Carcinogenesis|September 22, 2023
DDR1/2 enhance KIT activation and imatinib resistance of primary and secondary KIT mutants in gastrointestinal stromal tumorsAnbu Liu, Shaoting Zhang, Ming Wang, et al.
Molecular Carcinogenesis|April 17, 2024
Four and a half LIM domains 2 (FHL2) attenuates tumorigenesis of gastrointestinal stromal tumors (GISTs) by negatively regulating KIT signalingShaoting Zhang, Liangying Zhang, Dan Zhang, et al.
Radiology. Artificial Intelligence|September 10, 2025
An Explainable Deep Learning Model for Focal Liver Lesion Diagnosis Using Multiparametric MRIZhehan Shen, Lingzhi Chen, Lilong Wang, et al.
Pageof 20