Deep Learning Based Approaches In Medical Image Analysis Professors in Global

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Xuelian Cheng
Monash University Australia
medical image analysis
medical image computing
deep learning
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Bernhard Kainz
Imperial College London United Kingdom
biomedical image analysis
medical image computing
deep learning
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Rodrigo Moreno
KTH Royal Institute of Technology Sweden
medical image analysis
artificial intelligence in medical imaging
computational tools in medical imaging
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John Onofrey
Yale University United States of America
medical image analysis
deep learning
image analysis
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Edward Castillo
University of Texas at Austin United States of America
medical image analysis
deep learning
image-guided interventions
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Eranga Ukwatta
University of Guelph Canada
medical image analysis
deep learning
medical imaging
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Hassan Rivaz
Concordia University Canada
medical image analysis
deep learning
medical imaging
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Wenjia Bai
Imperial College London United Kingdom
biomedical image analysis
deep learning
medical imaging
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Magnus Båth
University of Gothenburg Sweden
deep learning techniques
medical imaging
artificial intelligence in imaging
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John Garrett
University of Wisconsin–Madison United States of America
deep learning
image analysis
medical imaging
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Maria Deprez
King's College London United Kingdom
deep learning
image analysis
medical imaging
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Madeleine Wyburd
University of Copenhagen Denmark
deep learning
image analysis
medical image segmentation
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James Duncan
Yale University United States of America
biomedical image processing
image analysis
image-guided intervention
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Rasmus Paulsen
Technical University of Denmark Denmark
medical image analysis
geometric deep learning
3d image analysis
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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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Adam Wang
Stanford University United States of America
diagnostic imaging
image-guided procedures
artificial intelligence in imaging
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Habib Zaidi
University of Geneva Switzerland
deep learning-based approaches in medical image analysis
medical imaging
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Josefine Sundgaard
Technical University of Denmark Denmark
deep learning in medical imaging
medical image analysis
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Steven Beyea
Dalhousie University Canada
machine learning in medical imaging
diagnostic imaging technologies
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Rauni Norrlund
University of Gothenburg Sweden
deep learning in radiology
medical imaging
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Christos Davatzikos
University of Pennsylvania United States of America
machine learning in medical imaging
biomedical image computing
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