Deep Learning In Medical Imaging Professors in Global

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Rodrigo Moreno
KTH Royal Institute of Technology Sweden
artificial intelligence in medical imaging
biomedical imaging
medical image analysis
computational tools in medical imaging
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Nimmi Ramanujam
Duke University Singapore
machine learning in medical imaging
biomedical imaging
image processing
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Magnus Båth
University of Gothenburg Sweden
artificial intelligence in imaging
deep learning techniques
medical imaging
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Alan Mcmillan
University of Wisconsin–Madison United States of America
artificial intelligence in medical imaging
medical imaging
molecular imaging
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Christoph Brune
University of Twente Netherlands
deep learning
geometric deep learning
mathematical imaging
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Hassan Rivaz
Concordia University Canada
deep learning
medical imaging
medical image analysis
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Kin-choong Yow
University of Regina Canada
deep learning
deep reinforcement learning
image processing
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Wenjia Bai
Imperial College London United Kingdom
deep learning
medical imaging
biomedical image analysis
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Nilanjan Ray
University of Alberta Canada
deep learning
medical image processing
image processing
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Eranga Ukwatta
University of Guelph Canada
deep learning
medical imaging
medical image analysis
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Xuelian Cheng
Monash University Australia
deep learning
medical image computing
medical image analysis
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Vicente Grau
University of Oxford United Kingdom
machine learning for medical imaging
artificial intelligence in healthcare
biomedical image analysis
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Bernhard Kainz
Imperial College London United Kingdom
deep learning
medical image computing
biomedical image analysis
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John Onofrey
Yale University United States of America
deep learning
biomedical imaging
medical image analysis
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Kaustubh Chakradeo
University of Copenhagen Denmark
deep learning
medical imaging
image processing
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Sima Soltanpour
York University Canada
deep learning
biomedical image processing
medical imaging analysis
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Indriyati Atmosukarto
Singapore Institute of Technology Singapore
deep learning
medical imaging
image processing
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Jayaram Udupa
University of Pennsylvania United States of America
deep learning
medical imaging
image processing
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Rasmus Paulsen
Technical University of Denmark Denmark
deep reinforcement learning
geometric deep learning
medical image analysis
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Michela Antonelli
King's College London United Kingdom
deep learning techniques
medical imaging
artificial intelligence in healthcare
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Yarin Gal
University of Oxford United Kingdom
deep reinforcement learning
deep probabilistic ai
bayesian deep learning
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