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Daniela Thorwarth

Showing results (51-60 of 135) with videos related to

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Physics and Imaging in Radiation Oncology|March 17, 2025
Development and comprehensive clinical validation of a deep neural network for radiation dose modelling to enhance magnetic resonance imaging guided radiotherapyMoritz Schneider, Simon Gutwein, David Mönnich, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|April 4, 2021
First experience of autonomous, un-supervised treatment planning integrated in adaptive MR-guided radiotherapy and delivered to a patient with prostate cancerLuise A Künzel, Marcel Nachbar, Markus Hagmüller, et al.
Zeitschrift Fur Medizinische Physik|May 9, 2025
Comparative analysis of open-source against commercial AI-based segmentation models for online adaptive MR-guided radiotherapyDominik Langner, Marcel Nachbar, Monica Lo Russo, et al.
Radiation Oncology (London, England)|April 28, 2022
Simulation CT-based radiomics for prediction of response after neoadjuvant chemo-radiotherapy in patients with locally advanced rectal cancerPierluigi Bonomo, Jairo Socarras Fernandez, Daniela Thorwarth, 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)|December 22, 2019
Automatic VMAT planning for post-operative prostate cancer cases using particle swarm optimization: A proof of concept studyLuise A Künzel, Sara Leibfarth, Oliver S Dohm, et al.
Acta Oncologica (Stockholm, Sweden)|July 25, 2013
A strategy for multimodal deformable image registration to integrate PET/MR into radiotherapy treatment planningSara Leibfarth, David Mönnich, Stefan Welz, et al.
European Journal of Nuclear Medicine and Molecular Imaging|February 14, 2016
Analysis of pairwise correlations in multi-parametric PET/MR data for biological tumor characterization and treatment individualization strategiesSara Leibfarth, Urban Simoncic, David Mönnich, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|July 28, 2022
Repeatability of diffusion-weighted magnetic resonance imaging in head and neck cancer at a 1.5 T MR-LinacJonas Habrich, Simon Boeke, Marcel Nachbar, et al.
Physics and Imaging in Radiation Oncology|January 18, 2021
Adapting training for medical physicists to match future trends in radiation oncologyCatharine H Clark, Giovanna Gagliardi, Ben Heijmen, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|December 29, 2024
Clinical validation of a prognostic preclinical magnetic resonance imaging biomarker for radiotherapy outcome in head-and-neck cancerRené M Winter, Simon Boeke, Sara Leibfarth, et al.
Pageof 14

Showing results (51-60 of 135) with videos related to

Sort By:
Pageof 14
Physics and Imaging in Radiation Oncology|March 17, 2025
Development and comprehensive clinical validation of a deep neural network for radiation dose modelling to enhance magnetic resonance imaging guided radiotherapyMoritz Schneider, Simon Gutwein, David Mönnich, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|April 4, 2021
First experience of autonomous, un-supervised treatment planning integrated in adaptive MR-guided radiotherapy and delivered to a patient with prostate cancerLuise A Künzel, Marcel Nachbar, Markus Hagmüller, et al.
Zeitschrift Fur Medizinische Physik|May 9, 2025
Comparative analysis of open-source against commercial AI-based segmentation models for online adaptive MR-guided radiotherapyDominik Langner, Marcel Nachbar, Monica Lo Russo, et al.
Radiation Oncology (London, England)|April 28, 2022
Simulation CT-based radiomics for prediction of response after neoadjuvant chemo-radiotherapy in patients with locally advanced rectal cancerPierluigi Bonomo, Jairo Socarras Fernandez, Daniela Thorwarth, 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)|December 22, 2019
Automatic VMAT planning for post-operative prostate cancer cases using particle swarm optimization: A proof of concept studyLuise A Künzel, Sara Leibfarth, Oliver S Dohm, et al.
Acta Oncologica (Stockholm, Sweden)|July 25, 2013
A strategy for multimodal deformable image registration to integrate PET/MR into radiotherapy treatment planningSara Leibfarth, David Mönnich, Stefan Welz, et al.
European Journal of Nuclear Medicine and Molecular Imaging|February 14, 2016
Analysis of pairwise correlations in multi-parametric PET/MR data for biological tumor characterization and treatment individualization strategiesSara Leibfarth, Urban Simoncic, David Mönnich, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|July 28, 2022
Repeatability of diffusion-weighted magnetic resonance imaging in head and neck cancer at a 1.5 T MR-LinacJonas Habrich, Simon Boeke, Marcel Nachbar, et al.
Physics and Imaging in Radiation Oncology|January 18, 2021
Adapting training for medical physicists to match future trends in radiation oncologyCatharine H Clark, Giovanna Gagliardi, Ben Heijmen, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|December 29, 2024
Clinical validation of a prognostic preclinical magnetic resonance imaging biomarker for radiotherapy outcome in head-and-neck cancerRené M Winter, Simon Boeke, Sara Leibfarth, et al.
Pageof 14