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Anaïs Barateau

Showing results (11-20 of 23) with videos related to

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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|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.
Medical Physics|August 24, 2022
Deep learning-based segmentation in prostate radiation therapy using Monte Carlo simulated cone-beam computed tomographyNelly Abbani, Thomas Baudier, Simon Rit, et al.
Physics in Medicine and Biology|December 21, 2022
Automatic segmentation for plan-of-the-day selection in CBCT-guided adaptive radiation therapy of cervical cancerChen Zhang, Caroline Lafond, Anaïs Barateau, et al.
Frontiers in Oncology|October 27, 2022
Quality assurance for MRI-only radiation therapy: A voxel-wise population-based methodology for image and dose assessment of synthetic CT generation methodsHilda Chourak, Anaïs Barateau, Safaa Tahri, et al.
International Journal of Radiation Oncology, Biology, Physics|September 11, 2019
Comparison of Deep Learning-Based and Patch-Based Methods for Pseudo-CT Generation in MRI-Based Prostate Dose PlanningAxel Largent, Anaïs Barateau, Jean-Claude Nunes, 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.
Journal of Applied Clinical Medical Physics|November 18, 2025
Prospective multi-institutional study of library-based adaptive radiotherapy for cervical cancer: Evaluation of plan-of-the-day selection and population analysisDelphine Lebret, Caroline Lafond, Julie Leseur, 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 3

Showing results (11-20 of 23) with videos related to

Sort By:
Pageof 3
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|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.
Medical Physics|August 24, 2022
Deep learning-based segmentation in prostate radiation therapy using Monte Carlo simulated cone-beam computed tomographyNelly Abbani, Thomas Baudier, Simon Rit, et al.
Physics in Medicine and Biology|December 21, 2022
Automatic segmentation for plan-of-the-day selection in CBCT-guided adaptive radiation therapy of cervical cancerChen Zhang, Caroline Lafond, Anaïs Barateau, et al.
Frontiers in Oncology|October 27, 2022
Quality assurance for MRI-only radiation therapy: A voxel-wise population-based methodology for image and dose assessment of synthetic CT generation methodsHilda Chourak, Anaïs Barateau, Safaa Tahri, et al.
International Journal of Radiation Oncology, Biology, Physics|September 11, 2019
Comparison of Deep Learning-Based and Patch-Based Methods for Pseudo-CT Generation in MRI-Based Prostate Dose PlanningAxel Largent, Anaïs Barateau, Jean-Claude Nunes, 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.
Journal of Applied Clinical Medical Physics|November 18, 2025
Prospective multi-institutional study of library-based adaptive radiotherapy for cervical cancer: Evaluation of plan-of-the-day selection and population analysisDelphine Lebret, Caroline Lafond, Julie Leseur, 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.
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