Atlas Based Segmentation and Mapping of Organs at Risk from Planning CT for the Development of Voxel-Wise Predictive Models of Toxicity in Prostate Radiotherapy. - Oscar Acosta; Jason Dowling; Guillaume Cazoulat; Antoine Simon; Olivier Salvado; Renaud de Crevoisier; Pascal Haigron (Prostate Cancer Imaging, 2010)

Evaluation of multi-atlas-based segmentation of CT scans in prostate cancer radiotherapy. - Oscar Acosta; Antoine Simon; Frederic Monge; Frederic Commandeur; Cunka Bassirou; Guillaume Cazoulat; Renaud de Crevoisier; Pascal Haigron (ISBI, 2011)

Dose Monitoring in Prostate Cancer Radiotherapy Using CBCT to CT Constrained Elastic Image Registration. - Guillaume Cazoulat; Antoine Simon; Oscar Acosta; Juan David Ospina; Khemara Gnep; Romain Viard; Renaud de Crevoisier; Pascal Haigron (Prostate Cancer Imaging, 2011)

Spatial Characterization and Classification of Rectal Bleeding in Prostate Cancer Radiotherapy with a Voxel-Based Principal Components Analysis Model for 3D Dose Distribution. - Baiyang Chen; Oscar Acosta; Amar Kachenoura; Juan David Ospina; Gaël Dréan; Antoine Simon; Jean-Jacques Bellanger; Pascal Haigron; Renaud de Crevoisier (Prostate Cancer Imaging, 2011)

Spatial Nonparametric Mixed-Effects Model with Spatial-Varying Coefficients for Analysis of Populations. - Juan David Ospina; Oscar Acosta; Gaël Dréan; Guillaume Cazoulat; Antoine Simon; Juan Carlos Correa; Pascal Haigron; Renaud de Crevoisier (MLMI, 2011)

Characterization of renal tumours based on Raman spectra classification. - Julien Fleureau; Karim Bensalah; Denis Rolland; Olivier Lavastre; Nathalie Rioux-Leclercq; François Guillé; Jean-Jacques Patard; Renaud de Crevoisier; Lotfi Senhadji (Expert Syst. Appl., 2011)

Prostate Segmentation in HIFU Therapy. - Carole Garnier; Jean-Jacques Bellanger; Ke Wu; Huazhong Shu; Nathalie Costet; Romain Mathieu; Renaud de Crevoisier; Jean-Louis Coatrieux (IEEE Trans. Medical Imaging, 2011)

Inter-individual organ-driven CT registration for dose mapping in prostate cancer radiotherapy. - Gaël Dréan; Oscar Acosta; Antoine Simon; Renaud de Crevoisier; Pascal Haigron (ISBI, 2012)

A non parametric mixed-effect model for population analysis: Application to Alzheimer's disease data. - Juan David Ospina; Oscar Acosta; Renaud de Crevoisier; Juan Carlos Correa; Pascal Haigron (ISBI, 2012)

Local jet features and statistical models in a hybrid Bayesian framework for prostate estimation in CBCT images. - Fabio Martínez; Oscar Acosta; Renaud de Crevoisier; Eduardo Romero 001 (Computer-Aided Diagnosis, 2012)

A new pencil beam model for photon dose calculations. - Pengcheng Zhang; Huazhong Shu; Antoine Simon; Pascal Haigron; Renaud de Crevoisier (BMEI, 2013)

Propagation of the MRI prostate delineation to the planning CT: A new matching contour framework. - Frederic Commandeur; Oscar Acosta; Antoine Simon; Romain Mathieu; Pascal Haigron; Renaud de Crevoisier (ISBI, 2013)

A Tensor-Based Population Value Decomposition to Explain Rectal Toxicity after Prostate Cancer Radiotherapy. - Juan David Ospina; Frederic Commandeur; Richard Ríos; Gaël Dréan; Juan Carlos Correa; Antoine Simon; Pascal Haigron; Renaud de Crevoisier; Oscar Acosta (MICCAI (2), 2013)

Evaluation of non-rigid constrained CT/CBCT registration algorithms for delineation propagation in the context of prostate cancer radiotherapy. - Mathieu Rubeaux; Antoine Simon; Khemara Gnep; Jérémy Colliaux; Oscar Acosta; Renaud de Crevoisier; Pascal Haigron (Image-Guided Procedures, 2013)

Surface-Constrained Nonrigid Registration for Dose Monitoring in Prostate Cancer Radiotherapy. - Guillaume Cazoulat; Antoine Simon; Aurélien Dumenil; Khemara Gnep; Renaud de Crevoisier; Oscar Acosta; Pascal Haigron (IEEE Trans. Medical Imaging, 2014)

Prostate whole-mount histology reconstruction and registration to MRI for correlating in-vivo observations with biological findings. - Frederic Commandeur; Oscar Acosta; Antoine Simon; Romain Mathieu; Alain Fautrel; Khemara Gnep; Pascal Haigron; Renaud de Crevoisier (EMBC, 2015)

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)

Recent advancements in toxicity prediction following prostate cancer radiotherapy. - Juan David Ospina; Aureline Fargeas; Gaël Dréan; Antoine Simon; Oscar Acosta; Renaud de Crevoisier (EMBC, 2015)

Weighted quantification of 18F-FDG tumor metabolism activity using fuzzy-thresholding to predict post-treatment tumor recurrence. - Geoffrey Roman-Jimenez; Oscar Acosta; Julie Leseur; Anne Devillers; Jonathan Le Gouestre; Juan David Ospina; Antoine Simon; Pierre Tervé; 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)

Slice correspondence estimation using SURF descriptors and context-based search for prostate whole-mount histology MRI registration. - Lina Guzman; Frederic Commandeur; Oscar Acosta; Antoine Simon; Alain Fautrel; Nathalie Rioux-Leclercq; Eduardo Romero 001; Romain Mathieu; Renaud de Crevoisier (EMBC, 2016)

Random forests to predict tumor recurrence following cervical cancer therapy using pre- and per-treatment 18F-FDG PET parameters. - Geoffrey Roman-Jimenez; Oscar Acosta; Julie Leseur; Anne Devillers; Henri Der Sarkissian; Lina Guzman; Éloïse Grossiord; Juan David Ospina; Renaud de Crevoisier (EMBC, 2016)

Detection of bladder metabolic artifacts in 18F-FDG PET imaging. - Geoffrey Roman-Jimenez; Renaud de Crevoisier; Julie Leseur; Anne Devillers; Juan David Ospina; Antoine Simon; Pierre Tervé; Oscar Acosta (Comput. Biol. Medicine, 2016)

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)

In silico model to simulate the radiation response at various fractionation from histopathological images of prostate tumors. - Vivien Aubert; Oscar Acosta; Nathalie Rioux-Leclercq; Romain Mathieu; Frederic Commandeur; Renaud de Crevoisier (ISBI, 2017)

Towards an integrative computational model for simulating tumor growth and response to radiation therapy. - Carlos Sosa Marrero; Vivien Aubert; Nicolas Ciferri; Alfredo Hernández 001; Renaud de Crevoisier; Oscar Acosta (SIPAIM, 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)

MRI to CT Prostate Registration for Improved Targeting in Cancer External Beam Radiotherapy. - Frederic Commandeur; Antoine Simon; Romain Mathieu; Mohamed Nassef; Juan David Ospina Arango; Yan Rolland; Pascal Haigron; Renaud de Crevoisier; Oscar Acosta (IEEE J. Biomed. Health Informatics, 2017)

Treatment plan library based on population shape analysis for cervical adaptive radiotherapy. - Bastien Rigaud; Antoine Simon; Maxime Gobeli; Julie Leseur; Danièle Williaume; Oscar Acosta; Pascal Haigron; Renaud de Crevoisier (Image-Guided Procedures, 2018)

Multiple Kernel Learning Applied to the Prediction of Prostate Cancer Recurrence from MRI Radiomic Features. - Diana Marcela Marín Castrillón; Pierre Fontaine; Khemara Gnep; Renaud de Crevoisier; Gloria Díaz; Oscar Acosta (BIBE, 2019)

Organs-at-Risk Contouring on Head CT for RT Planning Using 3D Slicer- A Preliminary Study. - Nolwenn Jegou; Franck Desaize; Gobert N. Lee; Mariusz Bajger; Oscar Acosta; Julie Leseur; Renaud de Crevoisier; Martin Caon (BIBE, 2019)

Comparison of Machine Learning Algorithms and Oversampling Techniques for Urinary Toxicity Prediction After Prostate Cancer Radiotherapy. - Eugenia Mylona; Clement Lebreton; Pierre Fontaine; Stéphane Supiot; Nicolas Magne; Gilles Créhange; Renaud de Crevoisier; Oscar Acosta (BIBE, 2019)

Pseudo-CT Generation for Mri-only Radiotherapy: Comparative Study Between A Generative Adversarial Network, A U-Net Network, A Patch-Based, and an Atlas Based Methods. - Axel Largent; Jean-Claude Nunes; Hervé Saint-Jalmes; John S. H. Baxter; Peter B. Greer; Jason Dowling; Renaud de Crevoisier; Oscar Acosta (ISBI, 2019)

Sensitivity Analysis Of An In Silico Model Of Tumor Growth And Radiation Response. - Carlos Sosa Marrero; Oscar Acosta; Miguel Castro 002; Alfredo Hernández 001; Nathalie Rioux-Leclercq; François Paris; Renaud de Crevoisier (ISBI, 2019)

Optimized Multi-Atlas Prostate Segmentation From 3D CT Images. - Yitian Zhou; Laurent Launay; Julien Bert; Renaud de Crevoisier; Oscar Acosta (ISBI, 2019)

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)

Ensemble Learning for Prediction of Toxicity in Prostate Cancer Radiotherapy: Comparison Between Stacking and Genetic Algorithm Weighted Voting. - Filippos Filias; Eugenia Mylona; Kostas Blekos; Stéphane Supiot; Renaud de Crevoisier; Oscar Acosta (BIBE, 2020)

Comparison of feature selection in radiomics for the prediction of overall survival after radiotherapy for hepatocellular carcinoma. - Pierre Fontaine; Francois-Georges Riet; Joël Castelli; Khemara Gnep; Adrien Depeursinge; Renaud de Crevoisier; Oscar Acosta (EMBC, 2020)

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)

Mechanistic Simulation of Tumor Response Outperforms Radiomics Predicting Recurrence in Prostate Cancer Radiotherapy. - Carlos Sosa Marrero; Pierre Fontaine; Eugenia Mylona; Khémara Gnep; Alfredo Hernández 001; François Paris; Renaud de Crevoisier; Oscar Acosta (ISBI, 2021)

Towards a Reduced In Silico Model Predicting Biochemical Recurrence After Radiotherapy in Prostate Cancer. - Carlos Sosa Marrero; Renaud de Crevoisier; Alfredo Hernández 001; Pierre Fontaine; Nathalie Rioux-Leclercq; Romain Mathieu; Alain Fautrel; François Paris; Oscar Acosta (IEEE Trans. Biomed. Eng., 2021)

Predicting the impact of standard and hypofractionated schedules in prostate cancer radiotherapy with a mechanistic model. - Carlos Sosa Marrero; Aurélien Briens; Pierre Fontaine; Bastien Rigaud; Renaud de Crevoisier; Oscar Acosta (BHI, 2022)

Deep Learning-Based Segmentation of Head and Neck Organs-at-Risk with Clinical Partially Labeled Data. - Lucía Cubero; Joël Castelli; Antoine Simon; Renaud de Crevoisier; Oscar Acosta; Javier Pascau (Entropy, 2022)

Exploring Uncertainty for Clinical Acceptability in Head and Neck Deep Learning-Based OAR Segmentation. - Lucía Cubero; J. Serrano; Joël Castelli; Renaud de Crevoisier; Oscar Acosta; Javier Pascau (ISBI, 2023)

Patient-Specific Dynamic Model for Optimization of Cardiac Radioablation. - Louis Rigal; Julien Bellec; Renaud de Crevoisier; Mathieu Lederlin; Karim Benali; Raphaël P. Martins; Antoine Simon (ISBI, 2023)

Radiomics and Mechanistic Hybrid Model for Prediction of Recurrence in Prostate Cancer. - Hilda Chourak; Pierre Fontaine; Aurélien Briens; Renaud de Crevoisier; Oscar Acosta; Carlos Sosa Marrero (ISBI, 2024)

New Deep Learning-Based Approach for Dysphagia Assessment from Videofluoroscopy Swallowing Studies. - Lucía Cubero; Christophe Tessier; Joël Castelli; Renaud de Crevoisier; Franck Jégoux; Javier Pascau; Oscar Acosta (ISBI, 2024)

Improved Prediction of Recurrence After Prostate Cancer Radiotherapy Using Multimodal Data and in Silico simulations. - Valentin Septiers; Carlos Sosa Marrero; Renaud de Crevoisier; Aurélien Briens; Hilda Chourak; Maria A. Zuluaga; Oscar Acosta (CaPTion@MICCAI, 2024)

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)

Automated dysphagia characterization in head and neck cancer patients using videofluoroscopic swallowing studies. - Lucía Cubero; Christophe Tessier; Joël Castelli; Kilian Robert; Renaud de Crevoisier; Franck Jégoux; Javier Pascau; Oscar Acosta (Comput. Biol. Medicine, 2025)

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)