A new parameter computed with independent component analysis to predict rectal toxicity following prostate cancer radiotherapy. - Aureline Fargeas; Juan David Ospina Arango; Amar Kachenoura; Nathalie Costet; Laurent Albera; Caroline Lafond; Oscar Acosta; Renaud de Crevoisier (EMBC, 2015)

Roles of Deformable Image Registration in adaptive RT: From Contour propagation to dose monitoring. - Antoine Simon; Mohamed Nassef; Bastien Rigaud; Guillaume Cazoulat; Joël Castelli; Caroline Lafond; Oscar Acosta; Pascal Haigron; Renaud de Crevoisier (EMBC, 2015)

A Novel Classification Method for Prediction of Rectal Bleeding in Prostate Cancer Radiotherapy Based on a Semi-Nonnegative ICA of 3D Planned Dose Distributions. - Julie Coloigner; Aureline Fargeas; Amar Kachenoura; Lu Wang 012; Gaël Dréan; Caroline Lafond; Lotfi Senhadji; Renaud de Crevoisier; Oscar Acosta; Laurent Albera (IEEE J. Biomed. Health Informatics, 2015)

Pseudo-CT generation by conditional inference random forest for MRI-based radiotherapy treatment planning. - 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 (EUSIPCO, 2017)

Quantification of dose uncertainties for the bladder in prostate cancer radiotherapy based on dominant eigenmodes. - Richard Ríos; Oscar Acosta; Caroline Lafond; Jairo Espinosa; Renaud de Crevoisier (SIPAIM, 2017)

Population model of bladder motion and deformation based on dominant eigenmodes and mixed-effects models in prostate cancer radiotherapy. - Richard Ríos; Renaud de Crevoisier; Juan David Ospina; Frederic Commandeur; Caroline Lafond; Antoine Simon; Pascal Haigron; Jairo Espinosa; Oscar Acosta (Medical Image Anal., 2017)

Statistical Shape Model to Generate a Planning Library for Cervical Adaptive Radiotherapy. - Bastien Rigaud; Antoine Simon; Maxime Gobeli; Julie Leseur; Loig Duverge; Danièle Williaume; Joël Castelli; Caroline Lafond; Oscar Acosta; Pascal Haigron; Renaud de Crevoisier (IEEE Trans. Medical Imaging, 2019)

Voxel-Wise Analysis for Spatial Characterisation of Pseudo-CT Errors in MRI-Only Radiotherapy Planning. - Hilda Chourak; Anaïs Barateau; Eugenia Mylona; Capucine Cadin; Caroline Lafond; Peter B. Greer; Jason Dowling; Jean-Claude Nunes; Renaud de Crevoisier; Oscar Acosta (ISBI, 2021)

Indirect deformable image registration using synthetic image generated by unsupervised deep learning. - Cédric Hémon; Blanche Texier; Hilda Chourak; Antoine Simon; Igor Bessières; Renaud de Crevoisier; Joël Castelli; Caroline Lafond; Anaïs Barateau; Jean-Claude Nunes (Image Vis. Comput., 2024)

Balancing data consistency and diversity: Preprocessing and online data augmentation for multi-center deep learning-based MR-to-CT synthesis. - Songyue Han; Cédric Hémon; Blanche Texier; Yassin Kortli; Adélie Queffelec; Renaud de Crevoisier; Jason Dowling; Peter B. Greer; Igor Bessières; Anaïs Barateau; Caroline Lafond; Jean-Claude Nunes (Pattern Recognit. Lett., 2025)

IMPACT: A Generic Semantic Loss for Multimodal Medical Image Registration. - Valentin Boussot; Cédric Hémon; Jean-Claude Nunes; Jason Downling; Simon Rouzé; Caroline Lafond; Anaïs Barateau; Jean-Louis Dillenseger (CoRR, 2025)