Deep Learning For Medical Instrumentation Design Professors in Global

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Kyle Steinfeld
University of California, Berkeley United States of America
artificial intelligence in design
design computation
computational design
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Nicholas Durr
Johns Hopkins University United States of America
deep learning
medical device design
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Kin-choong Yow
University of Regina Canada
deep learning
deep reinforcement learning
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Kevin Luck
Vrije Universiteit Amsterdam Netherlands
deep learning
deep reinforcement learning
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Nina Taherimakhsousi
University of Victoria Canada
deep learning
deep reinforcement learning
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Patryk Rygiel
University of Twente Netherlands
deep learning
geometric deep learning
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Christoph Brune
University of Twente Netherlands
deep learning
geometric deep learning
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Anastasios Kratsios
University of Toronto Canada
deep learning
geometric deep learning
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Krishna Swamy
Yale University United States of America
deep learning
geometric deep learning
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Chaoyue Liu
Purdue University United States of America
deep learning
deep learning theory
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Tsirigos Tsirigos
New York University United States of America
deep learning
machine learning in healthcare
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Jingmin Huang
University of Southampton United Kingdom
deep learning
deep generative models
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Xenia Miscouridou
Imperial College London United Kingdom
deep learning
deep generative models
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Greg Zaharchuk
Stanford University United States of America
deep learning
artificial intelligence in medical imaging
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Pearson
University of Chicago United States of America
deep learning
medical artificial intelligence
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Rasmus Paulsen
Technical University of Denmark Denmark
deep reinforcement learning
geometric deep learning
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Mehrdad Mahdavi
Pennsylvania State University United States of America
deep learning
large-scale machine learning
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David Toal
University of Southampton United Kingdom
deep learning
design optimization
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Stefan Pollok
Technical University of Denmark Denmark
deep learning
design optimization
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Yarin Gal
University of Oxford United Kingdom
deep reinforcement learning
deep probabilistic ai
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Yarin Gal
University of Oxford United Kingdom
deep reinforcement learning
deep probabilistic ai
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