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个人简介
Experienced research scientist with a strong background in machine learning, deep learning, and computer vision. Currently leads a range of projects and research efforts from technical to management levels. Holds undergraduate and graduate degrees from Cornell University and The Johns Hopkins University. Research interests focus on the intersection of computer vision and machine learning with current projects spanning a range of topics including neuro-inspired computer vision, connectomics, medical image analysis, deep learning, and adversarial machine learning.
研究兴趣
论文共 32 篇作者统计合作学者相似作者
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Medical Imaging 2024: Image Processing (2024)
2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2023): 4506-4515
Steven M. Storck,Brendan P. Croom,Nathan G. Drenkow,Robert K. Mueller, Vincent R. Pagan, Mary E. Daffron,Mark A. Foster,Milad Alemohammad
JOHNS HOPKINS APL TECHNICAL DIGESTno. 4 (2023): 397-403
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ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING FOR MULTI-DOMAIN OPERATIONS APPLICATIONS V (2023)
MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION, MICCAI 2023, PT III (2023): 442-452
WACVpp.1380-1389, (2023)
arxiv(2022)
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Hannah P. Cowley, Mandy Natter,Karla Gray-Roncal,Rebecca E. Rhodes, Erik C. Johnson,Nathan Drenkow, Timothy M. Shead,Frances S. Chance,Brock Wester,William Gray-Roncal
Scientific Reportsno. 1 (2022): 1-2
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