Model Based Segmentation Professors in Global

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Theo Arentze
Eindhoven University of Technology Belgium
agent-based modeling
activity-based modeling
social network modeling
discrete choice modeling
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Arson Lab
Cornell University Netherlands
model reduction
numerical modeling
multi-scale modeling
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Surajit Ray
University of Glasgow United Kingdom
medical image segmentation
statistical modeling
model selection
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Lei Feng
KTH Royal Institute of Technology Sweden
model-based design
modeling
model checking
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Daniel Graham
Imperial College London United Kingdom
statistical modelling
mathematical modelling
economic modelling
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Iain Moyles
York University Canada
mathematical modelling
disease modelling
behaviour modelling
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Olga Veksler
University of Waterloo Canada
image segmentation
semantic segmentation
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Jim Ji
Texas A&M University United States of America
segmentation
mathematical modeling
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Weihao Li
Australian National University Australia
image segmentation
point cloud segmentation
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Baoxin Hu
York University Canada
image segmentation
modelling
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Andrew Oates
École Polytechnique Fédérale de Lausanne Switzerland
segmentation
mathematical modelling
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Jinming Duan
University of Manchester United Kingdom
image segmentation
generative modelling
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Eranga Ukwatta
University of Guelph Canada
image segmentation
computational modeling
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Eranga Ukwatta
Carleton University Canada
image segmentation
computational modeling
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Klaus Maier-hein
German Cancer Research Center Germany
semantic segmentation
probabilistic modeling
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Tobias Breiten
Technical University of Berlin Germany
model reduction
modeling
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Till Bretschneider
University of Warwick United Kingdom
image-based modeling
generative modeling
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Eugene Syriani
University of Montreal Canada
model-based design
model-driven methodology
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Harsha Honnappa
Purdue University United States of America
model estimation
generative modeling
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Hao Zhang
University of Alberta Canada
modelling
mathematical modeling
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Madeleine Wyburd
University of Copenhagen Denmark
medical image segmentation
computational modelling
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