Search Results - Coen Hurkmans

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  1. 1

    Knowledge-based versus deep learning based treatment planning for breast radiotherapy by Daniel Portik, Enrico Clementel, Jérôme Krayenbühl, Nienke Bakx, Nicolaus Andratschke, Coen Hurkmans

    Published in Physics and Imaging in Radiation Oncology (2024-01-01)
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  2. 2

    Comparison of the use of a clinically implemented deep learning segmentation model with the simulated study setting for breast cancer patients receiving radiotherapy by Nienke Bakx, Maurice van der Sangen, Jacqueline Theuws, Johanna Bluemink, Coen Hurkmans

    Published in Acta Oncologica (2024-06-01)
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  3. 3

    Comparison of the output of a deep learning segmentation model for locoregional breast cancer radiotherapy trained on 2 different datasets by Nienke Bakx, Maurice van der Sangen, Jacqueline Theuws, Hanneke Bluemink, Coen Hurkmans

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  4. 4

    Evaluation of a clinically introduced deep learning model for radiotherapy treatment planning of breast cancer by Nienke Bakx, Maurice van der Sangen, Jacqueline Theuws, Johanna Bluemink, Coen Hurkmans

    Published in Physics and Imaging in Radiation Oncology (2023-10-01)
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  5. 5

    Development and evaluation of radiotherapy deep learning dose prediction models for breast cancer by Nienke Bakx, Hanneke Bluemink, Els Hagelaar, Maurice van der Sangen, Jacqueline Theuws, Coen Hurkmans

    Published in Physics and Imaging in Radiation Oncology (2021-01-01)
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  6. 6

    Reduction of heart and lung normal tissue complication probability using automatic beam angle optimization and more generic optimization objectives for breast radiotherapy by Nienke Bakx, Hanneke Bluemink, Els Hagelaar, Jorien van der Leer, Maurice van der Sangen, Jacqueline Theuws, Coen Hurkmans

    Published in Physics and Imaging in Radiation Oncology (2021-04-01)
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  7. 7

    Artificial intelligence based treatment planning of radiotherapy for locally advanced breast cancer by Dennis van de Sande, Marjan Sharabiani, Hanneke Bluemink, Esther Kneepkens, Nienke Bakx, Els Hagelaar, Maurice van der Sangen, Jacqueline Theuws, Coen Hurkmans

    Published in Physics and Imaging in Radiation Oncology (2021-10-01)
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  8. 8

    Professional practice changes in radiotherapy physics during the COVID-19 pandemic by Jenny Bertholet, Marianne C. Aznar, Cristina Garibaldi, David Thwaites, Eduard Gershkevitsh, Daniela Thorwarth, Dirk Verellen, Ben Heijmen, Coen Hurkmans, Ludvig Muren, Kathrine Røe Redalen, Frank-André Siebert, Marco Schwarz, Wouter Van Elmpt, Dietmar Georg, Nuria Jornet, Catharine H. Clark

    Published in Physics and Imaging in Radiation Oncology (2021-07-01)
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  9. 9

    Clinical evaluation of a deep learning segmentation model including manual adjustments afterwards for locally advanced breast cancer by Nienke Bakx, Dorien Rijkaart, Maurice van der Sangen, Jacqueline Theuws, Peter-Paul van der Toorn, An-Sofie Verrijssen, Jorien van der Leer, Joline Mutsaers, Thérèse van Nunen, Marjon Reinders, Inge Schuengel, Julia Smits, Els Hagelaar, Dave van Gruijthuijsen, Hanneke Bluemink, Coen Hurkmans

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  10. 10

    Remote beam output audits: A global assessment of results out of tolerance by Stephen F. Kry, Christine B. Peterson, Rebecca M. Howell, Joanna Izewska, Jessica Lye, Catharine H. Clark, Mitsuhiro Nakamura, Coen Hurkmans, Paola Alvarez, Andrew Alves, Tomislav Bokulic, David Followill, Pavel Kazantsev, Jessica Lowenstein, Andrea Molineu, Jacob Palmer, Susan A. Smith, Paige Taylor, Paulina Wesolowska, Ivan Williams

    Published in Physics and Imaging in Radiation Oncology (2018-07-01)
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