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Auto Segmentation In Radiotherapy Planning
Auto Segmentation In Radiotherapy Planning Professors in Global
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Professor
Anna Bäck
University of Gothenburg
Sweden
automatic segmentation
radiotherapy
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Professor
Kerstin Gunnarsson
University of Gothenburg
Sweden
auto-segmentation
radiotherapy
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Professor
Emilie Karlsson
University of Southern Denmark
Denmark
imaging segmentation
radiotherapy
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Professor
Pelagia Tsoutsou
University of Geneva
Switzerland
personalized radiotherapy
radiotherapy
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Professor
Dimitre Hristov
Stanford University
United States of America
radiotherapy
radiation therapy optimization
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Professor
Dal Granville
Dalhousie University
Canada
radiotherapy
adaptive radiotherapy
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Professor
Camarie Welgemoed
Imperial College London
United Kingdom
auto-segmentation in radiotherapy planning
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Professor
Guillaume Landry
Ludwig Maximilian University of Munich
Germany
automatic segmentation
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Professor
Richard Leahy
University of Southern California
United States of America
automated segmentation
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Professor
Richard Leahy
University of Southern California
United States of America
automated segmentation
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Professor
Dafna Sussman
Toronto Metropolitan University
Canada
automatic image segmentation
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Professor
Surajit Ray
University of Glasgow
United Kingdom
medical image segmentation
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Professor
Madeleine Wyburd
University of Copenhagen
Denmark
medical image segmentation
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Professor
Craig Smuda
University of Chicago
United States of America
medical image segmentation
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Professor
Craig Smuda
University of Chicago
United States of America
medical image segmentation
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Professor
Fredrik Nordström
University of Gothenburg
Sweden
radiotherapy treatment planning
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Professor
Frida Dohlmar
Linköping University
Sweden
automated treatment planning
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Professor
Christian Mikkelstrup
Technical University of Denmark
Denmark
biomedical image segmentation
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Professor
Elodie Lugez
Toronto Metropolitan University
Canada
segmentation
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Professor
Konstantinos Kamnitsas
University of Oxford
United Kingdom
segmentation
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Professor
Daniele De Martini
University of Oxford
United Kingdom
segmentation
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