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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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

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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

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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

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Clinical evaluation of two AI models for automated breast cancer plan generation by Esther Kneepkens, Nienke Bakx, Maurice van der Sangen, Jacqueline Theuws, Peter-Paul van der Toorn, Dorien Rijkaart, Jorien van der Leer, Thérèse van Nunen, Els Hagelaar, Hanneke Bluemink, Coen Hurkmans

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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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