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Physics in Medicine and Biology
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October 23, 2025
Impact of patient-specific deep learning lung organs-at-risk segmentation on accumulated dose in online adaptive 0.35 T MR-guided radiotherapy
Yuqing Xiong, Moritz Rabe, Maria Kawula, et al.
Medical Physics
|
December 19, 2024
Personalized deep learning auto-segmentation models for adaptive fractionated magnetic resonance-guided radiation therapy of the abdomen
Maria Kawula, Sebastian Marschner, Chengtao Wei, et al.
Medical Physics
|
November 8, 2022
Impact of secondary particles on the magnetic field generated by a proton pencil beam: a finite-element analysis based on Geant4-DNA simulations
Martin Rädler, Giulia Buizza, Maria Kawula, et al.
Physics and Imaging in Radiation Oncology
|
November 6, 2023
Prior knowledge based deep learning auto-segmentation in magnetic resonance imaging-guided radiotherapy of prostate cancer
Maria Kawula, Marica Vagni, Davide Cusumano, et al.
Strahlentherapie Und Onkologie : Organ Der Deutschen Rontgengesellschaft ... [Et Al]
|
September 23, 2022
Assessment of intrafractional prostate motion and its dosimetric impact in MRI-guided online adaptive radiotherapy with gating
Yuqing Xiong, Moritz Rabe, Lukas Nierer, et al.
Physics and Imaging in Radiation Oncology
|
September 8, 2023
ScatterNet for projection-based 4D cone-beam computed tomography intensity correction of lung cancer patients
Henning Schmitz, Adrian Thummerer, Maria Kawula, et al.
Radiation Oncology (London, England)
|
August 13, 2023
Deep learning based automatic segmentation of organs-at-risk for 0.35 T MRgRT of lung tumors
Marvin F Ribeiro, Sebastian Marschner, Maria Kawula, et al.
Radiation Oncology (London, England)
|
February 1, 2022
Dosimetric impact of deep learning-based CT auto-segmentation on radiation therapy treatment planning for prostate cancer
Maria Kawula, Dinu Purice, Minglun Li, et al.
Medical Physics
|
October 19, 2022
Patient-specific transfer learning for auto-segmentation in adaptive 0.35 T MRgRT of prostate cancer: a bi-centric evaluation
Maria Kawula, Indrawati Hadi, Lukas Nierer, et al.
Physics and Imaging in Radiation Oncology
|
March 11, 2024
Impact of daily plan adaptation on accumulated doses in ultra-hypofractionated magnetic resonance-guided radiation therapy of prostate cancer
Yuqing Xiong, Moritz Rabe, Carolin Rippke, et al.
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Search research articles
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Showing results (1-10 of 14) with videos related to
Sort By:
Page
of 2
Physics in Medicine and Biology
|
October 23, 2025
Impact of patient-specific deep learning lung organs-at-risk segmentation on accumulated dose in online adaptive 0.35 T MR-guided radiotherapy
Yuqing Xiong, Moritz Rabe, Maria Kawula, et al.
Medical Physics
|
December 19, 2024
Personalized deep learning auto-segmentation models for adaptive fractionated magnetic resonance-guided radiation therapy of the abdomen
Maria Kawula, Sebastian Marschner, Chengtao Wei, et al.
Medical Physics
|
November 8, 2022
Impact of secondary particles on the magnetic field generated by a proton pencil beam: a finite-element analysis based on Geant4-DNA simulations
Martin Rädler, Giulia Buizza, Maria Kawula, et al.
Physics and Imaging in Radiation Oncology
|
November 6, 2023
Prior knowledge based deep learning auto-segmentation in magnetic resonance imaging-guided radiotherapy of prostate cancer
Maria Kawula, Marica Vagni, Davide Cusumano, et al.
Strahlentherapie Und Onkologie : Organ Der Deutschen Rontgengesellschaft ... [Et Al]
|
September 23, 2022
Assessment of intrafractional prostate motion and its dosimetric impact in MRI-guided online adaptive radiotherapy with gating
Yuqing Xiong, Moritz Rabe, Lukas Nierer, et al.
Physics and Imaging in Radiation Oncology
|
September 8, 2023
ScatterNet for projection-based 4D cone-beam computed tomography intensity correction of lung cancer patients
Henning Schmitz, Adrian Thummerer, Maria Kawula, et al.
Radiation Oncology (London, England)
|
August 13, 2023
Deep learning based automatic segmentation of organs-at-risk for 0.35 T MRgRT of lung tumors
Marvin F Ribeiro, Sebastian Marschner, Maria Kawula, et al.
Radiation Oncology (London, England)
|
February 1, 2022
Dosimetric impact of deep learning-based CT auto-segmentation on radiation therapy treatment planning for prostate cancer
Maria Kawula, Dinu Purice, Minglun Li, et al.
Medical Physics
|
October 19, 2022
Patient-specific transfer learning for auto-segmentation in adaptive 0.35 T MRgRT of prostate cancer: a bi-centric evaluation
Maria Kawula, Indrawati Hadi, Lukas Nierer, et al.
Physics and Imaging in Radiation Oncology
|
March 11, 2024
Impact of daily plan adaptation on accumulated doses in ultra-hypofractionated magnetic resonance-guided radiation therapy of prostate cancer
Yuqing Xiong, Moritz Rabe, Carolin Rippke, et al.
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of 2