Machine Learning Health Care Professors in Global

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Chris De Sa
Cornell University Netherlands
deep learning
high-performance machine learning
machine learning frameworks
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Thomas Fevens
Concordia University Canada
machine learning
artificial intelligence healthcare
deep learning
medical image processing
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Chris De Sa
Cornell University Netherlands
deep learning
high-performance machine learning
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Emily Black
New York University United States of America
deep learning
machine learning policy
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Oisin Mac Aodha
University of Edinburgh United Kingdom
machine learning
deep learning
machine teaching
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Maryam Pishgar
University of Southern California United States of America
machine learning
deep learning
healthcare
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Serena Yeung-levy
Stanford University United States of America
machine learning
deep learning
healthcare
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Kimberly Villalobos Carballo
New York University United States of America
deep learning
healthcare
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Hamarneh Mia
Simon Fraser University Canada
machine learning
deep learning
healthcare
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Matthew Glass
Duke University Singapore
machine learning
deep learning
healthcare
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Lily Weng
University of California, San Diego United States of America
deep learning
healthcare
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Jeffrey Ferranti
Duke University Singapore
healthcare data warehousing
healthcare business intelligence
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Saikat Chatterjee
Royal Institute of Technology Sweden
artificial intelligence in healthcare
statistical machine learning
deep learning
medical data analytics
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Edward Sykes
University of Guelph Canada
machine learning
deep learning
ai in health
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Edward Sykes
University of Guelph Canada
machine learning
deep learning
ai in health
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Kirill Veselkov
Imperial College London United Kingdom
machine learning
deep learning
computational medicine
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Borzou Rostami
University of Alberta Canada
machine learning applied to real-time decision making
healthcare
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Xuelian Cheng
Monash University Australia
automated machine learning
deep learning
medical image computing
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Bernhard Kainz
Imperial College London United Kingdom
machine learning
deep learning
medical image computing
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Fani Deligianni
University of Glasgow United Kingdom
statistical machine learning
deep learning
medical image computing
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Yiming Xiao
Concordia University Canada
machine learning
deep learning
medical image computing
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