Automatic Disease Detection Professors in Global

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Alessandro Foddai
Technical University of Denmark Denmark
disease surveillance
disease control
disease modeling
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Pearse Keane
University College London United Kingdom
retinal disease detection
artificial medical intelligence
artificial intelligence in healthcare
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Parvin Mousavi
Queen's University Canada
No active positions
computer-aided diagnosis
cancer detection
computer-assisted diagnosis
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Leo Van Ijzendoorn
Eindhoven University of Technology Belgium
point-of-care detection
medical diagnostics
detection of biomolecules
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Xiaochen Yang
University of Glasgow United Kingdom
disease detection
diagnosis
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Woonhong Yeo
Georgia Institute of Technology United States of America
disease diagnostics
disease diagnosis
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Eric Rasmussen
University of Washington United States of America
disease surveillance
outbreak detection
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Lee Gehrke
Harvard University United States of America
pathogen detection
rapid diagnostics
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David Van Leeuwen
Radboud University Netherlands
automatic language recognition
automatic speech recognition
automatic speaker recognition
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Volkher Scharnhorst
Eindhoven University of Technology Belgium
disease diagnosis
diagnostics of blood diseases
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Zongyuan Ge
Monash University Australia
computer-aided diagnosis
medical artificial intelligence
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Loza Tadesse
Massachusetts Institute of Technology United States of America
detection
medical diagnostics
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Heather Whitney
University of Chicago United States of America
computer-aided diagnosis
diagnostic imaging
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Heather Whitney
University of Chicago United States of America
computer-aided diagnosis
diagnostic imaging
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Rich Rothman
Johns Hopkins University United States of America
viral detection
rapid bacterial detection
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Stephanie Chang
Stanford University United States of America
cancer detection
diagnostic imaging
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Michael Cheng
Stanford University United States of America
cancer detection
artificial intelligence in health care
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Christian Maack
Aalborg University Denmark
fault detection
anomaly detection
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Abdolrahman Peimankar
University of Southern Denmark Denmark
anomaly detection
medical ai
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Moez Ali
Queen's University Canada
automated machine learning
automated modeling
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Elizabeth Selvin
Johns Hopkins University United States of America
diagnostics
diagnosis
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