Deep Learning In Imaging Professors in Global

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Peter Doerschuk
Cornell University Netherlands
signal image processing
image analysis
biomedical imaging
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John Galeotti
Carnegie Mellon University United States of America
image analysis
real-time imaging techniques
biomedical imaging
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Daniel Razansky
ETH Zurich Switzerland
in vivo imaging
biomedical imaging
cellular imaging
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Iulian Tampu
Linköping University Sweden
optical imaging
medical imaging
multi-domain imaging
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Kawal Rhode
King's College London United Kingdom
medical image processing
image-guided interventions
imaging sciences
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Myeong Ju
University of British Columbia Canada
optical imaging
in vivo imaging
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Yarin Gal
University of Oxford United Kingdom
deep reinforcement learning
bayesian deep learning
deep probabilistic ai
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Yarin Gal
University of Oxford United Kingdom
deep reinforcement learning
bayesian deep learning
deep probabilistic ai
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Andrew Weems
University of Texas at Austin United States of America
optical imaging
image analysis
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Qi Fang
University of Western Australia Australia
optical imaging
imaging techniques
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Vasilis Ntziachristos
Technical University of Munich Germany
optical imaging
biomedical imaging
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Edwin Cowen
Cornell University Netherlands
signal image processing
image analysis
imaging instrumentation
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Touradj Ebrahimi
École Polytechnique Fédérale de Lausanne Switzerland
image processing
ai-powered imaging
image analysis
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Vishal Monga
Pennsylvania State University United States of America
image processing
signal image processing
image classification
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Ed Cohen
Imperial College London United Kingdom
image analysis
biological imaging
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Technical University of Dresden Germany
image analysis
imaging techniques
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James Duncan
Yale University United States of America
image analysis
biomedical image processing
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Richard Leahy
University of Southern California United States of America
signal image processing
biomedical imaging
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Richard Leahy
University of Southern California United States of America
signal image processing
biomedical imaging
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Meng Cui
Purdue University United States of America
high-throughput imaging
image processing
in vivo imaging
biomedical imaging
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John Ashburner
University College London United Kingdom
imaging science
imaging neuroscience
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