Machine Learning In Radiation Therapy Professors in Global

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Niclas Pettersson
University of Gothenburg Sweden
machine learning in radiotherapy
radiation oncology
radiotherapy techniques
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Lianli Liu
Stanford University United States of America
artificial intelligence in radiotherapy
radiotherapy workflow optimization
radiation oncology
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Anmar Khadra
McGill University Canada
computational modeling
mathematical modeling
computational biology
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Frederick Howard
University of Chicago United States of America
machine learning in cancer treatment
artificial intelligence in oncology
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Jian Ma
Carnegie Mellon University United States of America
machine learning in cancer genomics
computational biology
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Van Carey
University of California, Berkeley United States of America
machine learning in energy applications
computational modeling
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Sitan Chen
Harvard University United States of America
quantum learning
algorithmic learning
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Teja Kattenborn
University of Freiburg Germany
machine learning
radiative transfer modeling
deep learning
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Nikolay Malkin
University of Edinburgh United Kingdom
machine reasoning
bayesian machine learning
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Varun Kanade
University of Oxford United Kingdom
computational learning
deep learning
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Samuel Luk
Boston University United States of America
error detection in radiotherapy
radiation oncology
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Michael Ingrisch
Ludwig Maximilian University of Munich Germany
machine learning
radiological computer vision
deep learning
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Xiaohua Huang
University of California, San Diego United States of America
deep machine learning
computational modeling
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Nicole Rust
University of Pennsylvania United States of America
memory learning
computational modeling
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Steffen Ihlenfeldt
Dresden University of Technology Germany
machine technology
machine data analytics
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Chris De Sa
Cornell University Netherlands
high-performance machine learning
deep learning
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Chris De Sa
Cornell University Netherlands
high-performance machine learning
deep learning
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Sasan Barak
University of Southampton United Kingdom
financial machine learning
machine learning applications in finance
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Kathleen Wilkie
Toronto Metropolitan University Canada
computational cancer immunology
mechanistic learning
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Hujun Yin
University of Manchester United Kingdom
machine learning
image recognition
deep learning
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Wei Hu
University of Michigan United States of America
machine learning
theoretical foundations of machine learning
deep learning
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