High Dimensional Imaging Professors in Global

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Meng Cui
Purdue University United States of America
high-throughput imaging
high-quality imaging
biomedical imaging
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Jack Radford
University of Glasgow United Kingdom
3d imaging
optical imaging
computational imaging
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Iulian Tampu
Linköping University Sweden
multi-domain imaging
optical imaging
medical imaging
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Michael Davies
University of Edinburgh United Kingdom
computational imaging
machine imaging
medical imaging
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Ehsan Samei
Duke University Singapore
imaging models
medical imaging
x-ray imaging
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Daniel Elson
Imperial College London United Kingdom
multispectral imaging
medical imaging
surgical imaging
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Nancy Ford
University of British Columbia Canada
dual-energy imaging
quantitative imaging
x-ray imaging
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Parsin Haji Reza
University of Waterloo Canada
super-resolution imaging techniques
medical imaging
real-time 3d biomedical imaging
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Marta Bryan
University of Toronto Canada
high-contrast imaging
high-resolution spectroscopy
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Nozomu Yachie
University of British Columbia Canada
high-resolution imaging
high-performance computing
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Aileen Bell
University of Glasgow United Kingdom
dimensional imaging
3d imaging
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James Nichols
Australian National University Australia
high dimensional statistics
high dimensional approximation theory
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Debdeep Pati
University of Wisconsin–Madison United States of America
high-dimensional applications
high dimensional network analysis
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Peter Birkin
University of Southampton United Kingdom
high-speed imaging
luminescence imaging
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Bartek Rajwa
Purdue University United States of America
high-content imaging
high-throughput cytometry
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Arian Maleki
Columbia University United States of America
high-dimensional statistics
computational imaging
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Pier Dragotti
Imperial College London United Kingdom
high-dimensional data analysis
computational imaging
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Yuxin Chen
Princeton University United States of America
high-dimensional estimation
medical imaging
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Dana Peters
Yale University United States of America
three-dimensional imaging
diagnostic imaging
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Rina Foygel Barber
University of Chicago United States of America
high-dimensional data
medical imaging
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Aswin Sankaranarayanan
Carnegie Mellon University United States of America
high-dimensional signals
low-dimensional models
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