Machine Learning For Medical Imaging Professors in Global

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Rodrigo Moreno
KTH Royal Institute of Technology Sweden
artificial intelligence in medical imaging
medical image analysis
computational tools in medical imaging
biomedical imaging
magnetic resonance imaging
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Michael Davies
University of Edinburgh United Kingdom
machine imaging
medical imaging
computational imaging
machine learning
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Rebecca Thornhill
Carleton University Canada
artificial intelligence in medical imaging
medical imaging
machine learning
magnetic resonance imaging
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Alan Mcmillan
University of Wisconsin–Madison United States of America
artificial intelligence in medical imaging
medical imaging
molecular imaging
magnetic resonance imaging
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Eranga Ukwatta
University of Guelph Canada
medical imaging
medical image analysis
machine learning
computational modeling
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Eranga Ukwatta
Carleton University Canada
medical imaging applications
medical image analysis
machine learning
computational modeling
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Iulian Tampu
Linköping University Sweden
medical imaging
machine learning
magnetic resonance imaging
multi-domain imaging
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Nimmi Ramanujam
Duke University Singapore
machine learning in medical imaging
biomedical imaging
image processing
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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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Sunil Vasu
University of Alberta Canada
medical imaging
medical artificial intelligence
machine learning
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J. Stayman
Johns Hopkins University United States of America
medical imaging
computational imaging
machine learning
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Zongyuan Ge
Monash University Australia
medical imaging
medical artificial intelligence
machine learning
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Zhaolin Chen
Monash University Australia
deep learning-based medical imaging
machine learning
magnetic resonance imaging
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Hassan Rivaz
Concordia University Canada
medical imaging
medical image analysis
machine learning
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Ender Konukoglu
ETH Zurich Switzerland
medical imaging
biomedical image processing
machine learning
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Sun-joo Jang
Yale University United States of America
medical imaging
molecular imaging
machine learning
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Michael Lustig
University of California, Berkeley United States of America
medical imaging
computational imaging
magnetic resonance imaging
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Sina Farsiu
Duke University Singapore
medical imaging
machine learning
biomedical imaging
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David Izquierdo-garcia
Harvard-MIT Health Sciences Technology United States of America
medical imaging
molecular imaging
medical imaging physics
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Daniel Rueckert
Technical University of Munich Germany
medical image computing
machine learning
biomedical image analysis
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Xuelian Cheng
Monash University Australia
medical image computing
medical image analysis
automated machine learning
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