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Development and evaluation of radiotherapy deep learning dose prediction models for breast cancer
by
Bakx, Nienke
,
Bluemink, Hanneke
,
Hagelaar, Els
,
van der Sangen, Maurice
,
Theuws, Jacqueline
,
Hurkmans, Coen
Published in
Physics and imaging in radiation oncology
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Clinical evaluation of two AI models for automated breast cancer plan generation
by
Kneepkens, Esther
,
Bakx, Nienke
,
van der Sangen, Maurice
,
Theuws, Jacqueline
,
van der Toorn, Peter-Paul
,
Rijkaart, Dorien
,
van der Leer, Jorien
,
van Nunen, Thérèse
,
Hagelaar, Els
,
Bluemink, Hanneke
,
Hurkmans, Coen
Published in
Radiation oncology (London, England)
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Artificial intelligence based treatment planning of radiotherapy for locally advanced breast cancer
by
van de Sande, Dennis
,
Sharabiani, Marjan
,
Bluemink, Hanneke
,
Kneepkens, Esther
,
Bakx, Nienke
,
Hagelaar, Els
,
van der Sangen, Maurice
,
Theuws, Jacqueline
,
Hurkmans, Coen
Published in
Physics and imaging in radiation oncology
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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
Bakx, Nienke
,
Bluemink, Hanneke
,
Hagelaar, Els
,
van der Leer, Jorien
,
van der Sangen, Maurice
,
Theuws, Jacqueline
,
Hurkmans, Coen
Published in
Physics and imaging in radiation oncology
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Clinical evaluation of a deep learning segmentation model including manual adjustments afterwards for locally advanced breast cancer
by
Bakx, Nienke
,
Rijkaart, Dorien
,
van der Sangen, Maurice
,
Theuws, Jacqueline
,
van der Toorn, Peter-Paul
,
Verrijssen, An-Sofie
,
van der Leer, Jorien
,
Mutsaers, Joline
,
van Nunen, Thérèse
,
Reinders, Marjon
,
Schuengel, Inge
,
Smits, Julia
,
Hagelaar, Els
,
van Gruijthuijsen, Dave
,
Bluemink, Johanna
,
Hurkmans, Coen
Published in
Technical innovations & patient support in radiation oncology
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Physics And Imaging In Radiation Oncology
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Technical Innovations & Patient Support In Radiation Oncology
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Life Sciences & Biomedicine
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