René Vidal
教授
Department of Electrical and Systems Engineering
School of Engineering and Applied Science, University of Pennsylvania;Center for Innovation in Data Engineering and Science, University of Pennsylvania;Department of Biomedical Engineering, School of Medicine, Johns Hopkins University;Amazon;NORCE Norwegian Research Centre
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基本信息
浏览量:28
职业迁徙
个人简介
His current research focuses on the foundations of deep learning and trustworthy AI and its applications in computer vision and biomedical data science. Dr. Vidal is an ACM Fellow, AIMBE Fellow, IEEE Fellow, IAPR Fellow and Sloan Fellow, and has received numerous awards for his work, including the IEEE Edward J. McCluskey Technical Achievement Award, D’Alembert Faculty Award, J.K. Aggarwal Prize, ONR Young Investigator Award, NSF CAREER Award as well as best paper awards in machine learning, computer vision, controls, and medical robotics.
研究兴趣
论文共 459 篇作者统计合作学者相似作者
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CoRR (2024)
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arXiv (Cornell University) (2024): 6448-6458
Sung Min Park,Tessa G. George,Chloe M. Sobolewski,Sophia R. McMorrow, Dalin Yang,Mary B. Nebel,Bahar Tunçgenç,René Vidal,Natasha Marrus,Stewart H. Mostofsky, Adam T. Eggebrecht
Optica Biophotonics Congress Biomedical Optics 2024 (Translational, Microscopy, OCT, OTS, BRAIN) (2024)
Anton Korikov,Scott Sanner,Yashar Deldjoo,Zhankui He,Julian McAuley,Arnau Ramisa,Rene Vidal, Mahesh Sathiamoorthy, Atoosa Kasrizadeh,Silvia Milano,Francesco Ricci
CoRR (2024)
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Arnau Ramisa,Rene Vidal,Yashar Deldjoo,Zhankui He,Julian McAuley,Anton Korikov,Scott Sanner, Mahesh Sathiamoorthy, Atoosa Kasrizadeh,Silvia Milano,Francesco Ricci
CoRR (2024)
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arxiv(2024)
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NeurIPS 2024 (2024)
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作者统计
#Papers: 451
#Citation: 32874
H-Index: 81
G-Index: 176
Sociability: 6
Diversity: 3
Activity: 198
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