Deep Learning In Radiology Professors in Global

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Kevin Luck
Vrije Universiteit Amsterdam Netherlands
deep learning
deep reinforcement learning
robot learning
reinforcement learning
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Michael Ingrisch
Ludwig Maximilian University of Munich Germany
deep learning
radiology
radiological computer vision
machine learning
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Yarin Gal
University of Oxford United Kingdom
deep reinforcement learning
deep probabilistic ai
bayesian deep learning
machine learning
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Honglak Lee
University of Michigan United States of America
deep learning
large-scale learning
representation learning
machine learning
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Jason Lee
University of California, Berkeley United States of America
deep learning
representation learning
reinforcement learning
machine learning
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Jason Lee
University of California, Berkeley United States of America
deep learning
representation learning
reinforcement learning
machine learning
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Timothy Amrhein
Duke University Singapore
deep learning in medical imaging
diagnostic radiology
neuroradiology
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Krishna Swamy
Yale University United States of America
deep learning
geometric deep learning
machine learning
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Kin-choong Yow
University of Regina Canada
deep learning
deep reinforcement learning
machine learning
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Christoph Brune
University of Twente Netherlands
deep learning
geometric deep learning
deep gaussian processes
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Maciej Mazurowski
Duke University Singapore
deep learning
diagnostic radiology
machine learning
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Pouria Rouzrokh
Yale University United States of America
deep learning
radiology
machine learning
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Momin Muzaffar
University of Chicago United States of America
deep learning
radiology
machine learning
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Hon Kwan
University of Windsor Canada
deep learning
deep neural network design
machine learning
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Mikhail Glazunov
Delft University of Technology Netherlands
deep learning
bayesian deep learning
robustness of deep neural networks
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Jingmin Huang
University of Southampton United Kingdom
deep learning
deep generative models
machine learning
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Benjamin Joffe
Georgia Institute of Technology United States of America
deep learning
robot learning
machine learning
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Sirisha Rambhatla
University of Waterloo Canada
deep learning
representation learning
machine learning
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Mirco Ravanelli
Concordia University Canada
deep learning
representation learning
machine learning
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Joseph Gonzalez
University of California, Berkeley United States of America
deep reinforcement learning
accelerated deep learning
machine learning
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Tian Liang
University of Manchester United Kingdom
deep learning
representation learning
machine learning
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