Tal Arbel

Tal Arbel at the 2018 Trottier Public Science Symposium. Tal Arbel is a Professor of Electrical Engineering at McGill University who specialises in computer vision. She is interested in the application of artificial intelligence in healthcare. Provided by Wikipedia
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  1. 1
    Virtual reality in the management of patients with low back and neck pain: a retrospective analysis of 82 people treated solely in the metaverse

    Virtual reality in the management of patients with low back and neck pain: a retrospective analysis of 82 people treated solely in the metaverse by Eran Orr, Tal Arbel, Miki Levy, Yaron Sela, Omer Weissberger, Omer Liran, Jeremy Lewis

    Published 2023-05-01
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  2. 2
    Virtual reality in the management of stress and anxiety disorders: A retrospective analysis of 61 people treated in the metaverse

    Virtual reality in the management of stress and anxiety disorders: A retrospective analysis of 61 people treated in the metaverse by Eran Orr, Tal Arbel, Miki Levy, Yaron Sela, Omer Weissberger, Omer Liran, Jeremy Lewis

    Published 2023-07-01
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  3. 3
    Stroke Lesion Segmentation in FLAIR MRI Datasets Using Customized Markov Random Fields

    Stroke Lesion Segmentation in FLAIR MRI Datasets Using Customized Markov Random Fields by Nagesh K. Subbanna, Deepthi Rajashekar, Bastian Cheng, Götz Thomalla, Jens Fiehler, Tal Arbel, Nils D. Forkert

    Published 2019-05-01
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  4. 4
    Estimating individual treatment effect on disability progression in multiple sclerosis using deep learning

    Estimating individual treatment effect on disability progression in multiple sclerosis using deep learning by Jean-Pierre R. Falet, Joshua Durso-Finley, Brennan Nichyporuk, Julien Schroeter, Francesca Bovis, Maria-Pia Sormani, Doina Precup, Tal Arbel, Douglas Lorne Arnold

    Published 2022-09-01
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  5. 5
    Why rankings of biomedical image analysis competitions should be interpreted with care

    Why rankings of biomedical image analysis competitions should be interpreted with care by Lena Maier-Hein, Matthias Eisenmann, Annika Reinke, Sinan Onogur, Marko Stankovic, Patrick Scholz, Tal Arbel, Hrvoje Bogunovic, Andrew P. Bradley, Aaron Carass, Carolin Feldmann, Alejandro F. Frangi, Peter M. Full, Bram van Ginneken, Allan Hanbury, Katrin Honauer, Michal Kozubek, Bennett A. Landman, Keno März, Oskar Maier, Klaus Maier-Hein, Bjoern H. Menze, Henning Müller, Peter F. Neher, Wiro Niessen, Nasir Rajpoot, Gregory C. Sharp, Korsuk Sirinukunwattana, Stefanie Speidel, Christian Stock, Danail Stoyanov, Abdel Aziz Taha, Fons van der Sommen, Ching-Wei Wang, Marc-André Weber, Guoyan Zheng, Pierre Jannin, Annette Kopp-Schneider

    Published 2018-12-01
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  6. 6
    Author Correction: Why rankings of biomedical image analysis competitions should be interpreted with care

    Author Correction: Why rankings of biomedical image analysis competitions should be interpreted with care by Lena Maier-Hein, Matthias Eisenmann, Annika Reinke, Sinan Onogur, Marko Stankovic, Patrick Scholz, Tal Arbel, Hrvoje Bogunovic, Andrew P. Bradley, Aaron Carass, Carolin Feldmann, Alejandro F. Frangi, Peter M. Full, Bram van Ginneken, Allan Hanbury, Katrin Honauer, Michal Kozubek, Bennett A. Landman, Keno März, Oskar Maier, Klaus Maier-Hein, Bjoern H. Menze, Henning Müller, Peter F. Neher, Wiro Niessen, Nasir Rajpoot, Gregory C. Sharp, Korsuk Sirinukunwattana, Stefanie Speidel, Christian Stock, Danail Stoyanov, Abdel Aziz Taha, Fons van der Sommen, Ching-Wei Wang, Marc-André Weber, Guoyan Zheng, Pierre Jannin, Annette Kopp-Schneider

    Published 2019-01-01
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