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Hongmin Cai

Showing results (111-120 of 122) with videos related to

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Interdisciplinary Sciences, Computational Life Sciences|February 10, 2021
Classification of COVID-19 by Compressed Chest CT Image through Deep Learning on a Large Patients CohortZiwei Zhu, Zhang Xingming, Guihua Tao, et al.
Structure (London, England : 1993)|June 26, 2021
Cryo-EM study of patched in lipid nanodisc suggests a structural basis for its clustering in caveolaeYitian Luo, Guoyue Wan, Xiang Zhang, et al.
Cell Discovery|December 27, 2022
Structures of adenosine receptor A<sub>2B</sub>R bound to endogenous and synthetic agonistsHongmin Cai, Youwei Xu, Shimeng Guo, et al.
Annals of Translational Medicine|February 8, 2021
A multi-center study of prediction of macular hole status after vitrectomy and internal limiting membrane peeling by a deep learning modelYijun Hu, Yu Xiao, Wuxiu Quan, et al.
Annals of Translational Medicine|June 24, 2021
Machine learning-based prediction of anatomical outcome after idiopathic macular hole surgeryYu Xiao, Yijun Hu, Wuxiu Quan, et al.
Journal of Cancer|July 12, 2019
Molecular Decision Tree Algorithms Predict Individual Recurrence Pattern for Locally Advanced Nasopharyngeal CarcinomaHongmin Cai, Xiaolin Pang, Dong Dong, et al.
Retina (Philadelphia, Pa.)|October 8, 2020
DETECTION OF MORPHOLOGIC PATTERNS OF DIABETIC MACULAR EDEMA USING A DEEP LEARNING APPROACH BASED ON OPTICAL COHERENCE TOMOGRAPHY IMAGESQiaowei Wu, Bin Zhang, Yijun Hu, et al.
Annals of Translational Medicine|February 8, 2021
Automatic prediction of treatment outcomes in patients with diabetic macular edema using ensemble machine learningBaoyi Liu, Bin Zhang, Yijun Hu, et al.
The British Journal of Ophthalmology|August 5, 2021
Development and validation of a deep learning system to classify aetiology and predict anatomical outcomes of macular holeYu Xiao, Yijun Hu, Wuxiu Quan, et al.
Nature Communications|July 31, 2021
A synthetic nanobody targeting RBD protects hamsters from SARS-CoV-2 infectionTingting Li, Hongmin Cai, Hebang Yao, et al.
Pageof 13

Showing results (111-120 of 122) with videos related to

Sort By:
Pageof 13
Interdisciplinary Sciences, Computational Life Sciences|February 10, 2021
Classification of COVID-19 by Compressed Chest CT Image through Deep Learning on a Large Patients CohortZiwei Zhu, Zhang Xingming, Guihua Tao, et al.
Structure (London, England : 1993)|June 26, 2021
Cryo-EM study of patched in lipid nanodisc suggests a structural basis for its clustering in caveolaeYitian Luo, Guoyue Wan, Xiang Zhang, et al.
Cell Discovery|December 27, 2022
Structures of adenosine receptor A<sub>2B</sub>R bound to endogenous and synthetic agonistsHongmin Cai, Youwei Xu, Shimeng Guo, et al.
Annals of Translational Medicine|February 8, 2021
A multi-center study of prediction of macular hole status after vitrectomy and internal limiting membrane peeling by a deep learning modelYijun Hu, Yu Xiao, Wuxiu Quan, et al.
Annals of Translational Medicine|June 24, 2021
Machine learning-based prediction of anatomical outcome after idiopathic macular hole surgeryYu Xiao, Yijun Hu, Wuxiu Quan, et al.
Journal of Cancer|July 12, 2019
Molecular Decision Tree Algorithms Predict Individual Recurrence Pattern for Locally Advanced Nasopharyngeal CarcinomaHongmin Cai, Xiaolin Pang, Dong Dong, et al.
Retina (Philadelphia, Pa.)|October 8, 2020
DETECTION OF MORPHOLOGIC PATTERNS OF DIABETIC MACULAR EDEMA USING A DEEP LEARNING APPROACH BASED ON OPTICAL COHERENCE TOMOGRAPHY IMAGESQiaowei Wu, Bin Zhang, Yijun Hu, et al.
Annals of Translational Medicine|February 8, 2021
Automatic prediction of treatment outcomes in patients with diabetic macular edema using ensemble machine learningBaoyi Liu, Bin Zhang, Yijun Hu, et al.
The British Journal of Ophthalmology|August 5, 2021
Development and validation of a deep learning system to classify aetiology and predict anatomical outcomes of macular holeYu Xiao, Yijun Hu, Wuxiu Quan, et al.
Nature Communications|July 31, 2021
A synthetic nanobody targeting RBD protects hamsters from SARS-CoV-2 infectionTingting Li, Hongmin Cai, Hebang Yao, et al.
Pageof 13