Machine Learning Cardiology Professors in Global

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Alex Natanzon
New York University United States of America
cardiology
nuclear cardiology
preventive cardiology
cardiovascular imaging
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Molei Tao
Georgia Institute of Technology United States of America
machine learning
probabilistic machine learning
deep learning theory
dynamical systems machine learning
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Georg Gerber
Harvard-MIT Health Sciences Technology United States of America
machine learning
deep learning
computational pathology
computational biology
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Choon Yap
Imperial College London United Kingdom
computational cardiovascular biomechanics
deep learning
cardiac biomechanics
cardiovascular imaging
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Jessica Sorrell
Johns Hopkins University United States of America
machine learning
machine learning algorithms
machine learning theory
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Vibha Gupta
University of Gothenburg Sweden
cardiology
machine learning
deep learning
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Danica Sutherland
University of British Columbia Canada
machine learning
statistical machine learning
theoretical machine learning
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Jennifer Chen
Cornell University Netherlands
cardiology
nuclear cardiology
general cardiology
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Norma Keller
New York University United States of America
cardiology
interventional cardiology
critical care cardiology
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Tal Kachman
Radboud University Netherlands
machine learning
financial machine learning
deep learning
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Samy Bengio
École Polytechnique Fédérale de Lausanne Switzerland
machine learning
statistical machine learning
deep learning
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Adam Skolnick
New York University United States of America
cardiology
nuclear cardiology
geriatric cardiology
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Paul Leeson
University of Oxford United Kingdom
artificial intelligence in cardiology
preventive cardiology
cardiovascular imaging
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Paul Leeson
University of Oxford United Kingdom
artificial intelligence in cardiology
preventive cardiology
cardiovascular imaging
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Hina Shaheen
University of Manitoba Canada
machine learning
statistical machine learning
computational modelling
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Anthony Bonner
University of Toronto Canada
machine learning
machine vision
computational biology
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Anthony Bonner
University of Toronto Canada
machine learning
machine vision
computational biology
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Benjamin Joffe
Georgia Institute of Technology United States of America
machine learning
robot learning
deep learning
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Nicholas Rhinehart
University of Toronto Canada
machine learning
robot learning
deep learning
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Aboelmagd Noureldin
Queen's University Canada
machine intelligence
machine vision
deep learning
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Sulaiman Somani
Stanford University United States of America
cardiology
preventive cardiology
cardiac electrophysiology
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