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Physics in Medicine and Biology|December 9, 2025
Towards trustworthy AI in radiotherapy: a comprehensive review of uncertainty-aware techniquesCédric Hémon, Blanche Texier, Caroline Lafond, et al.Physics and Imaging in Radiation Oncology|February 13, 2025
Modeling dose uncertainty in cone-beam computed tomography: Predictive approach for deep learning-based synthetic computed tomography generationCédric Hémon, Lucía Cubero, Valentin Boussot, 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.Physics and Imaging in Radiation Oncology|August 20, 2024
3D Unsupervised deep learning method for magnetic resonance imaging-to-computed tomography synthesis in prostate radiotherapyBlanche Texier, Cédric Hémon, Adélie Queffélec, et al.Physics and Imaging in Radiation Oncology|December 11, 2023
Computed tomography synthesis from magnetic resonance imaging using cycle Generative Adversarial Networks with multicenter learningBlanche Texier, Cédric Hémon, Pauline Lekieffre, et al.Frontiers in Oncology|December 13, 2023
A deep learning model to generate synthetic CT for prostate MR-only radiotherapy dose planning: a multicenter studySafaa Tahri, Blanche Texier, Jean-Claude Nunes, et al.Pageof 1