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Tomasz Morgas

Showing results (1-10 of 6) with videos related to

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Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|December 24, 2019
Clinical evaluation of a full-image deep segmentation algorithm for the male pelvis on cone-beam CT and CTJan Schreier, Angelo Genghi, Hannu Laaksonen, et al.
Journal of Medical Imaging (Bellingham, Wash.)|November 16, 2020
Hippocampus segmentation in CT using deep learning: impact of MR versus CT-based training contoursAnnika Hänsch, Jan Hendrik Moltz, Benjamin Geisler, et al.
Journal of Medical Imaging (Bellingham, Wash.)|October 3, 2018
Evaluation of deep learning methods for parotid gland segmentation from CT imagesAnnika Hänsch, Michael Schwier, Tobias Gass, et al.
Medical Physics|September 26, 2025
Method for end-user validation of deformable dose accumulation uncertainty modelling toolsJohn Kipritidis, Alexandra Quinn, Tomasz Morgas, et al.
Physics in Medicine and Biology|January 30, 2025
Augmenting motion artifacts to enhance auto-contouring of complex structures in cone-beam computed tomography imagingAngelo Genghi, Mário João Fartaria, Anna Siroki-Galambos, et al.
International Journal of Radiation Oncology, Biology, Physics|February 28, 2018
American Association of Physicists in Medicine Task Group 263: Standardizing Nomenclatures in Radiation OncologyCharles S Mayo, Jean M Moran, Walter Bosch, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|December 24, 2019
Clinical evaluation of a full-image deep segmentation algorithm for the male pelvis on cone-beam CT and CTJan Schreier, Angelo Genghi, Hannu Laaksonen, et al.
Journal of Medical Imaging (Bellingham, Wash.)|November 16, 2020
Hippocampus segmentation in CT using deep learning: impact of MR versus CT-based training contoursAnnika Hänsch, Jan Hendrik Moltz, Benjamin Geisler, et al.
Journal of Medical Imaging (Bellingham, Wash.)|October 3, 2018
Evaluation of deep learning methods for parotid gland segmentation from CT imagesAnnika Hänsch, Michael Schwier, Tobias Gass, et al.
Medical Physics|September 26, 2025
Method for end-user validation of deformable dose accumulation uncertainty modelling toolsJohn Kipritidis, Alexandra Quinn, Tomasz Morgas, et al.
Physics in Medicine and Biology|January 30, 2025
Augmenting motion artifacts to enhance auto-contouring of complex structures in cone-beam computed tomography imagingAngelo Genghi, Mário João Fartaria, Anna Siroki-Galambos, et al.
International Journal of Radiation Oncology, Biology, Physics|February 28, 2018
American Association of Physicists in Medicine Task Group 263: Standardizing Nomenclatures in Radiation OncologyCharles S Mayo, Jean M Moran, Walter Bosch, et al.
Pageof 1