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Sean Zhou

Showing results (31-40 of 43) with videos related to

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Nature Communications|November 22, 2025
Deciphering age- and sex-specific patterns of coronary artery atherosclerosis from a large Chinese cohortXinnian Yang, Jiayin Zhang, Yanli Song, et al.
IEEE Reviews in Biomedical Engineering|March 3, 2025
Review of Artificial Intelligence in Lung Nodule Risk AssessmentYing Wei, Qing Zhou, Jiaojiao Wu, et al.
IEEE Transactions on Medical Imaging|August 18, 2025
Hierarchical Contrastive Learning for Precise Whole-body Anatomical Localization in PET/CT ImagingYaozong Gao, Yiran Shu, Mingyang Yu, et al.
Nature Medicine|September 17, 2024
Data-driven risk stratification and precision management of pulmonary nodules detected on chest computed tomographyChengdi Wang, Jun Shao, Yichu He, et al.
Brain and Behavior|January 2, 2020
Modeling essential connections in obsessive-compulsive disorder patients using functional MRIXiaodan Xing, Lili Jin, Qingfeng Li, et al.
Frontiers in Radiology|July 26, 2023
uRP: An integrated research platform for one-stop analysis of medical imagesJiaojiao Wu, Yuwei Xia, Xuechun Wang, et al.
Nature Communications|November 3, 2022
Deep learning empowered volume delineation of whole-body organs-at-risk for accelerated radiotherapyFeng Shi, Weigang Hu, Jiaojiao Wu, et al.
Medical Image Analysis|April 21, 2026
A hierarchical prompt and prototype learning framework for brain disorder classificationYuxiao Liu, Kaicong Sun, Yaping Wu, et al.
Cell Reports. Medicine|July 19, 2023
Fast and low-dose medical imaging generation empowered by hybrid deep-learning and iterative reconstructionShu Liao, Zhanhao Mo, Mengsu Zeng, et al.
NPJ Digital Medicine|March 20, 2026
Real-world unified denoising for multi-organ fast MRI: a large-scale prospective validationYuchen Shao, Hongyan Huang, Lingyan Zhang, et al.
Pageof 5

Showing results (31-40 of 43) with videos related to

Sort By:
Pageof 5
Nature Communications|November 22, 2025
Deciphering age- and sex-specific patterns of coronary artery atherosclerosis from a large Chinese cohortXinnian Yang, Jiayin Zhang, Yanli Song, et al.
IEEE Reviews in Biomedical Engineering|March 3, 2025
Review of Artificial Intelligence in Lung Nodule Risk AssessmentYing Wei, Qing Zhou, Jiaojiao Wu, et al.
IEEE Transactions on Medical Imaging|August 18, 2025
Hierarchical Contrastive Learning for Precise Whole-body Anatomical Localization in PET/CT ImagingYaozong Gao, Yiran Shu, Mingyang Yu, et al.
Nature Medicine|September 17, 2024
Data-driven risk stratification and precision management of pulmonary nodules detected on chest computed tomographyChengdi Wang, Jun Shao, Yichu He, et al.
Brain and Behavior|January 2, 2020
Modeling essential connections in obsessive-compulsive disorder patients using functional MRIXiaodan Xing, Lili Jin, Qingfeng Li, et al.
Frontiers in Radiology|July 26, 2023
uRP: An integrated research platform for one-stop analysis of medical imagesJiaojiao Wu, Yuwei Xia, Xuechun Wang, et al.
Nature Communications|November 3, 2022
Deep learning empowered volume delineation of whole-body organs-at-risk for accelerated radiotherapyFeng Shi, Weigang Hu, Jiaojiao Wu, et al.
Medical Image Analysis|April 21, 2026
A hierarchical prompt and prototype learning framework for brain disorder classificationYuxiao Liu, Kaicong Sun, Yaping Wu, et al.
Cell Reports. Medicine|July 19, 2023
Fast and low-dose medical imaging generation empowered by hybrid deep-learning and iterative reconstructionShu Liao, Zhanhao Mo, Mengsu Zeng, et al.
NPJ Digital Medicine|March 20, 2026
Real-world unified denoising for multi-organ fast MRI: a large-scale prospective validationYuchen Shao, Hongyan Huang, Lingyan Zhang, et al.
Pageof 5