Deep Learning Applications In Diagnostic Radiology Professors in Global

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Timothy Amrhein
Duke University Singapore
deep learning in medical imaging
diagnostic radiology
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Maciej Mazurowski
Duke University Singapore
deep learning
diagnostic radiology
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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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Charlotte Bunne
University of Geneva Switzerland
deep learning
digital diagnostics
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Seo Park
University of Southern California United States of America
deep learning
big data applications
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Seo Park
University of Southern California United States of America
deep learning
big data applications
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Samuel Ajila
Carleton University Canada
deep learning
multi-modal learning applications
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Christopher Sun
University of Ottawa Canada
deep learning
applied machine learning
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Stefan Zohren
University of Oxford United Kingdom
deep learning
applied machine learning
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Yuan Tian
Queen's University Canada
deep learning
applied machine learning
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Sinisa Colic
University of Toronto Canada
deep learning
applied machine learning
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Rasmus Paulsen
Technical University of Denmark Denmark
deep reinforcement learning
geometric deep learning
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Ingvar Andersson
Lund University Sweden
artificial intelligence in radiology
radiology diagnostics
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