Digital Pathology And Machine Learning Professors in Global

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Pierre-olivier Fiset
McGill University Canada
digital pathology
artificial intelligence in pathology
machine learning in medicine
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Peter Schüffler
Technical University of Munich Germany
digital pathology
computational pathology
machine learning
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Sudhir Perincheri
Yale School of Medicine United States of America
digital pathology
pathology
anatomic pathology
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Klaus-robert Müller
Technical University of Berlin Germany
digital pathology
machine learning
probabilistic machine learning
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Kenneth Iczkowski
University of California, Davis United States of America
artificial intelligence in pathology
machine learning
anatomic pathology
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Tsang-long Lin
Purdue University United States of America
diagnostic pathology
molecular pathology
anatomic pathology
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Hamid Alinejad-rokny
University of New South Wales Australia
biomedical machine learning
statistical machine learning
machine learning
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Sadaf Salehkalaibar
University of Manitoba Canada
No active positions
deep learning and information theory
statistical machine learning
machine learning
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Carlos Suarez
Stanford University United States of America
molecular pathology
anatomic pathology
clinical pathology
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Dao-fu Dai
Johns Hopkins University United States of America
pathology
anatomic pathology
clinical pathology
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Julia Stickle
Michigan State University United States of America
diagnostic clinical pathology
clinical pathology
diagnostic pathology service
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Karl Meinke
KTH Royal Institute of Technology Sweden
machine learning in digital pathology
machine learning
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Kenneth Margulies
University of Pennsylvania United States of America
digital pathology
machine learning in medicine
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Darren Treanor
Linköping University Sweden
digital pathology
pathology
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Clare Verrill
University of Oxford United Kingdom
digital pathology
pathology
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Alex Baras
Johns Hopkins University United States of America
digital pathology
pathology
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Matthew Cecchini
Western University Canada
digital pathology
molecular pathology
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Martin Wartenberg
University of Bern Switzerland
digital pathology
machine learning
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Troy Hutchens
University of Washington United States of America
digital pathology
machine learning
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Candice Roufosse
Imperial College London United Kingdom
digital pathology
machine learning
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Francisco Pena Escobar
Royal Institute of Technology Sweden
digital pathology
machine learning
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