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Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|April 1, 2020
Local dose analysis to predict acute and late urinary toxicities after prostate cancer radiotherapy: Assessment of cohort and method effectsEugenia Mylona, Alessandro Cicchetti, Tiziana Rancati, et al.
Physics in Medicine and Biology|May 28, 2021
Spatial descriptions of radiotherapy dose: normal tissue complication models and statistical associationsMartin A Ebert, Sarah Gulliford, Oscar Acosta, et al.
IEEE Transactions on Medical Imaging|August 22, 2018
Statistical Shape Model to Generate a Planning Library for Cervical Adaptive RadiotherapyBastien Rigaud, Antoine Simon, Maxime Gobeli, et al.
International Journal of Radiation Oncology, Biology, Physics|October 19, 2018
Pseudo-CT Generation for MRI-Only Radiation Therapy Treatment Planning: Comparison Among Patch-Based, Atlas-Based, and Bulk Density MethodsAxel Largent, Anaïs Barateau, Jean-Claude Nunes, et al.
Medical Engineering & Physics|December 3, 2014
On feature extraction and classification in prostate cancer radiotherapy using tensor decompositionsAuréline Fargeas, Laurent Albera, Amar Kachenoura, et al.
Medical Physics|July 13, 2020
Comparison of CBCT-based dose calculation methods in head and neck cancer radiotherapy: from Hounsfield unit to density calibration curve to deep learningAnaïs Barateau, Renaud De Crevoisier, Axel Largent, et al.
Clinical and Translational Radiation Oncology|March 4, 2022
Cleaning radiotherapy contours for radiomics studies, is it worth it? A head and neck cancer studyPierre Fontaine, Vincent Andrearczyk, Valentin Oreiller, et al.
Academic Radiology|November 11, 2008
Automated (11)C-PiB standardized uptake value ratioParnesh Raniga, Pierrick Bourgeat, Jurgen Fripp, et al.
Clinical and Translational Radiation Oncology|December 29, 2025
Geometric evaluation of a deep learning method for segmentation of urinary OARs on magnetic resonance imaging for prostate cancer radiotherapyJennifer Le Guévelou, Miguel Castro, Blanche Texier, et al.
Clinical and Translational Radiation Oncology|February 9, 2026
Corrigendum to "Geometric evaluation of a deep learning method for segmentation of urinary OARs on magnetic resonance imaging for prostate cancer radiotherapy". [Clin. Transl. Radiat. Oncol. 56 (2026) 101091]Jennifer Le Guévelou, Miguel Castro, Blanche Texier, et al.
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