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Liesbeth Vandewinckele

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Technical Innovations & Patient Support in Radiation Oncology|February 5, 2024
Are offline ART decisions for NSCLC impacted by the type of dose calculation algorithm?Dylan Callens, Karel Aerts, Patrick Berkovic, et al.
Physica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)|May 24, 2022
Treatment plan prediction for lung IMRT using deep learning based fluence map generationLiesbeth Vandewinckele, Siri Willems, Maarten Lambrecht, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|September 13, 2020
Overview of artificial intelligence-based applications in radiotherapy: Recommendations for implementation and quality assuranceLiesbeth Vandewinckele, Michaël Claessens, Anna Dinkla, et al.
Physics and Imaging in Radiation Oncology|January 18, 2021
Machine learning applications in radiation oncology: Current use and needs to support clinical implementationCharlotte L Brouwer, Anna M Dinkla, Liesbeth Vandewinckele, et al.
Physics and Imaging in Radiation Oncology|January 6, 2025
Pro-active risk analysis of an in-house developed deep learning based autoplanning tool for breast Volumetric Modulated Arc TherapyLiesbeth Vandewinckele, Chahrazad Benazzouz, Laurence Delombaerde, et al.
Physics in Medicine and Biology|April 14, 2022
Towards a safe and efficient clinical implementation of machine learning in radiation oncology by exploring model interpretability, explainability and data-model dependencyAna Barragán-Montero, Adrien Bibal, Margerie Huet Dastarac, et al.
Physica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)|May 12, 2021
Artificial intelligence and machine learning for medical imaging: A technology reviewAna Barragán-Montero, Umair Javaid, Gilmer Valdés, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Technical Innovations & Patient Support in Radiation Oncology|February 5, 2024
Are offline ART decisions for NSCLC impacted by the type of dose calculation algorithm?Dylan Callens, Karel Aerts, Patrick Berkovic, et al.
Physica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)|May 24, 2022
Treatment plan prediction for lung IMRT using deep learning based fluence map generationLiesbeth Vandewinckele, Siri Willems, Maarten Lambrecht, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|September 13, 2020
Overview of artificial intelligence-based applications in radiotherapy: Recommendations for implementation and quality assuranceLiesbeth Vandewinckele, Michaël Claessens, Anna Dinkla, et al.
Physics and Imaging in Radiation Oncology|January 18, 2021
Machine learning applications in radiation oncology: Current use and needs to support clinical implementationCharlotte L Brouwer, Anna M Dinkla, Liesbeth Vandewinckele, et al.
Physics and Imaging in Radiation Oncology|January 6, 2025
Pro-active risk analysis of an in-house developed deep learning based autoplanning tool for breast Volumetric Modulated Arc TherapyLiesbeth Vandewinckele, Chahrazad Benazzouz, Laurence Delombaerde, et al.
Physics in Medicine and Biology|April 14, 2022
Towards a safe and efficient clinical implementation of machine learning in radiation oncology by exploring model interpretability, explainability and data-model dependencyAna Barragán-Montero, Adrien Bibal, Margerie Huet Dastarac, et al.
Physica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)|May 12, 2021
Artificial intelligence and machine learning for medical imaging: A technology reviewAna Barragán-Montero, Umair Javaid, Gilmer Valdés, et al.
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