Machine Learning In Surgery Professors in Global

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Benjamin Zwick
University of Western Australia Australia
machine learning
computer robot-aided surgery
image-guided surgical planning
mathematical modelling
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Xuelian Cheng
Monash University Australia
robotic surgery intelligence
automated machine learning
medical image computing
deep learning
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Nicholas Rhinehart
University of Toronto Canada
machine learning
robot learning
deep learning
imitation learning
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Aboelmagd Noureldin
Queen's University Canada
machine vision
machine intelligence
deep learning
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Oisin Mac Aodha
University of Edinburgh United Kingdom
machine learning
machine teaching
deep learning
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Benjamin Joffe
Georgia Institute of Technology United States of America
machine learning
robot learning
deep learning
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Yee Teh
University of Oxford United Kingdom
machine learning
large scale machine learning
deep learning
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Bernhard Kainz
Imperial College London United Kingdom
machine learning
medical image computing
deep learning
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Yiming Xiao
Concordia University Canada
machine learning
image-guided surgery
medical image computing
deep learning
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Tal Kachman
Radboud University Netherlands
machine learning
financial machine learning
deep learning
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Federico Bocci
Radboud University Netherlands
machine learning
mathematical modeling
deep learning
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Sima Soltanpour
York University Canada
machine learning
biomedical image processing
deep learning
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Tahereh Koohi
University of New South Wales Australia
machine learning
biomedical image processing
deep learning
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Sima Soltanpour
York University Canada
machine learning
biomedical image processing
deep learning
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Kristen Grauman
University of Texas at Austin United States of America
machine learning
deep learning
machine perception
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Shane Lee
Brown University United States of America
machine learning
neurosurgery
computational modeling
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Gerasimos Spanakis
Maastricht University Netherlands
machine learning
deep learning
computational modeling
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Eranga Ukwatta
University of Guelph Canada
machine learning
deep learning
computational modeling
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Honglak Lee
University of Michigan United States of America
machine learning
deep learning
large-scale learning
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Pearson
University of Chicago United States of America
medical artificial intelligence
computational oncology
mathematical modeling
deep learning
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Hamid Alinejad-rokny
University of New South Wales Australia
biomedical machine learning
machine learning
statistical machine learning
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