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2020 – today
- 2024
[j4]Cédric Hémon, Blanche Texier, Hilda Chourak, Antoine Simon, Igor Bessières, Renaud de Crevoisier, Joël Castelli, Caroline Lafond, Anaïs Barateau, Jean-Claude Nunes
:
Indirect deformable image registration using synthetic image generated by unsupervised deep learning. Image Vis. Comput. 148: 105143 (2024)- 2021
- [c5]Hilda Chourak, Anaïs Barateau, Eugenia Mylona, Capucine Cadin, Caroline Lafond, Peter B. Greer, Jason Dowling, Jean-Claude Nunes, Renaud de Crevoisier, Oscar Acosta:
Voxel-Wise Analysis for Spatial Characterisation of Pseudo-CT Errors in MRI-Only Radiotherapy Planning. ISBI 2021: 395-399
2010 – 2019
- 2019
- [j3]Bastien Rigaud, Antoine Simon, Maxime Gobeli, Julie Leseur, Loig Duverge, Danièle Williaume, Joël Castelli, Caroline Lafond, Oscar Acosta, Pascal Haigron, Renaud de Crevoisier:
Statistical Shape Model to Generate a Planning Library for Cervical Adaptive Radiotherapy. IEEE Trans. Medical Imaging 38(2): 406-416 (2019) - 2017
- [j2]Richard Ríos, Renaud de Crevoisier, Juan David Ospina, Frederic Commandeur, Caroline Lafond, Antoine Simon, Pascal Haigron, Jairo Espinosa, Oscar Acosta:
Population model of bladder motion and deformation based on dominant eigenmodes and mixed-effects models in prostate cancer radiotherapy. Medical Image Anal. 38: 133-149 (2017) - [c4]Axel Largent, Jean-Claude Nunes, Hervé Saint-Jalmes, Antoine Simon, Nicolas Perichon, Anais Barateau, Chloe Herve, Caroline Lafond, Peter B. Greer, Jason A. Dowling, Renaud de Crevoisier, Oscar Acosta:
Pseudo-CT generation by conditional inference random forest for MRI-based radiotherapy treatment planning. EUSIPCO 2017: 46-50 - [c3]Richard Ríos, Oscar Acosta, Caroline Lafond, Jairo Espinosa, Renaud de Crevoisier:
Quantification of dose uncertainties for the bladder in prostate cancer radiotherapy based on dominant eigenmodes. SIPAIM 2017: 1057214 - 2015
- [j1]Julie Coloigner, Aureline Fargeas, Amar Kachenoura, Lu Wang, Gaël Dréan, Caroline Lafond, Lotfi Senhadji, Renaud de Crevoisier, Oscar Acosta, Laurent Albera:
A Novel Classification Method for Prediction of Rectal Bleeding in Prostate Cancer Radiotherapy Based on a Semi-Nonnegative ICA of 3D Planned Dose Distributions. IEEE J. Biomed. Health Informatics 19(3): 1168-1177 (2015) - [c2]Aureline Fargeas, Juan David Ospina Arango, Amar Kachenoura, Nathalie Costet, Laurent Albera, Caroline Lafond, Oscar Acosta, Renaud de Crevoisier:
A new parameter computed with independent component analysis to predict rectal toxicity following prostate cancer radiotherapy. EMBC 2015: 2657-2660 - [c1]Antoine Simon, Mohamed Nassef, Bastien Rigaud, Guillaume Cazoulat, Joël Castelli, Caroline Lafond, Oscar Acosta, Pascal Haigron, Renaud de Crevoisier:
Roles of Deformable Image Registration in adaptive RT: From Contour propagation to dose monitoring. EMBC 2015: 5215-5218
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