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2020 – today
- 2024
[j11]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)- [c40]Hilda Chourak, Pierre Fontaine, Aurélien Briens, Renaud de Crevoisier, Oscar Acosta, Carlos Sosa Marrero:
Radiomics and Mechanistic Hybrid Model for Prediction of Recurrence in Prostate Cancer. ISBI 2024: 1-4 - [c39]Lucía Cubero, C. Tessier, Joël Castelli, Renaud de Crevoisier, F. Jégoux, J. Pascau, Oscar Acosta:
New Deep Learning-Based Approach for Dysphagia Assessment from Videofluoroscopy Swallowing Studies. ISBI 2024: 1-4 - [c38]Valentin Septiers, Carlos Sosa Marrero, Renaud de Crevoisier, Aurélien Briens, Hilda Chourak, Maria A. Zuluaga, Oscar Acosta:
Improved Prediction of Recurrence After Prostate Cancer Radiotherapy Using Multimodal Data and in Silico simulations. CaPTion@MICCAI 2024: 211-220 - 2023
- [c37]Lucía Cubero, J. Serrano, Joël Castelli, Renaud de Crevoisier, Oscar Acosta, Javier Pascau:
Exploring Uncertainty for Clinical Acceptability in Head and Neck Deep Learning-Based OAR Segmentation. ISBI 2023: 1-4 - [c36]Louis Rigal, Julien Bellec, Renaud de Crevoisier, Mathieu Lederlin, Karim Benali, Raphaël P. Martins, Antoine Simon:
Patient-Specific Dynamic Model for Optimization of Cardiac Radioablation. ISBI 2023: 1-4 - 2022
- [j10]Lucía Cubero, Joël Castelli, Antoine Simon, Renaud de Crevoisier, Oscar Acosta, Javier Pascau:
Deep Learning-Based Segmentation of Head and Neck Organs-at-Risk with Clinical Partially Labeled Data. Entropy 24(11): 1661 (2022) - [c35]Carlos Sosa Marrero, Aurélien Briens, Pierre Fontaine, Bastien Rigaud, Renaud de Crevoisier, Oscar Acosta:
Predicting the impact of standard and hypofractionated schedules in prostate cancer radiotherapy with a mechanistic model. BHI 2022: 1-4 - 2021
- [j9]Carlos Sosa Marrero, Renaud de Crevoisier, Alfredo I. Hernández, Pierre Fontaine, Nathalie Rioux-Leclercq, Romain Mathieu, Alain Fautrel, François Paris, Oscar Acosta:
Towards a Reduced In Silico Model Predicting Biochemical Recurrence After Radiotherapy in Prostate Cancer. IEEE Trans. Biomed. Eng. 68(9): 2718-2729 (2021) - [c34]Carlos Sosa Marrero, Pierre Fontaine, Eugenia Mylona, Khémara Gnep, Alfredo I. Hernández, François Paris, Renaud de Crevoisier, Oscar Acosta:
Mechanistic Simulation of Tumor Response Outperforms Radiomics Predicting Recurrence in Prostate Cancer Radiotherapy. ISBI 2021: 1-4 - [c33]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 - 2020
- [c32]Filippos Filias, Eugenia Mylona, Kostas Blekos, Stéphane Supiot, Renaud de Crevoisier, Oscar Acosta:
Ensemble Learning for Prediction of Toxicity in Prostate Cancer Radiotherapy: Comparison Between Stacking and Genetic Algorithm Weighted Voting. BIBE 2020: 884-889 - [c31]Pierre Fontaine, Francois-Georges Riet, Joël Castelli, Khemara Gnep, Adrien Depeursinge, Renaud de Crevoisier, Oscar Acosta:
Comparison of feature selection in radiomics for the prediction of overall survival after radiotherapy for hepatocellular carcinoma. EMBC 2020: 1667-1670
2010 – 2019
- 2019
- [j8]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) - [c30]Nolwenn Jegou, Franck Desaize, Gobert N. Lee, Mariusz Bajger, Oscar Acosta, Julie Leseur, Renaud de Crevoisier, Martin Caon:
Organs-at-Risk Contouring on Head CT for RT Planning Using 3D Slicer- A Preliminary Study. BIBE 2019: 503-506 - [c29]Eugenia Mylona, Clement Lebreton, Pierre Fontaine, Stéphane Supiot, Nicolas Magne, Gilles Créhange, Renaud de Crevoisier, Oscar Acosta:
Comparison of Machine Learning Algorithms and Oversampling Techniques for Urinary Toxicity Prediction After Prostate Cancer Radiotherapy. BIBE 2019: 964-971 - [c28]Diana Marcela Marín Castrillón, Pierre Fontaine, Khemara Gnep, Renaud de Crevoisier, Gloria Díaz, Oscar Acosta:
Multiple Kernel Learning Applied to the Prediction of Prostate Cancer Recurrence from MRI Radiomic Features. BIBE 2019: 984-988 - [c27]Yitian Zhou, Laurent Launay, Julien Bert, Renaud de Crevoisier, Oscar Acosta:
Optimized Multi-Atlas Prostate Segmentation From 3D CT Images. ISBI 2019: 32-35 - [c26]Axel Largent, Jean-Claude Nunes, Hervé Saint-Jalmes, John S. H. Baxter, Peter B. Greer, Jason Dowling, Renaud de Crevoisier, Oscar Acosta:
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. ISBI 2019: 1109-1113 - [c25]Carlos Sosa Marrero, Oscar Acosta, Miguel Castro, Alfredo I. Hernández, Nathalie Rioux-Leclercq, François Paris, Renaud de Crevoisier:
Sensitivity Analysis Of An In Silico Model Of Tumor Growth And Radiation Response. ISBI 2019: 1497-1500 - 2018
- [c24]Bastien Rigaud, Antoine Simon, Maxime Gobeli, Julie Leseur, Danièle Williaume, Oscar Acosta, Pascal Haigron, Renaud de Crevoisier:
Treatment plan library based on population shape analysis for cervical adaptive radiotherapy. Image-Guided Procedures 2018: 105762J - 2017
- [j7]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) - [j6]Frederic Commandeur, Antoine Simon, Romain Mathieu, Mohamed Nassef, Juan David Ospina Arango, Yan Rolland, Pascal Haigron, Renaud de Crevoisier, Oscar Acosta:
MRI to CT Prostate Registration for Improved Targeting in Cancer External Beam Radiotherapy. IEEE J. Biomed. Health Informatics 21(4): 1015-1026 (2017) - [c23]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 - [c22]Vivien Aubert, Oscar Acosta, Nathalie Rioux-Leclercq, Romain Mathieu, Frederic Commandeur, Renaud de Crevoisier:
In silico model to simulate the radiation response at various fractionation from histopathological images of prostate tumors. ISBI 2017: 818-821 - [c21]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 - [c20]Carlos Sosa Marrero, Vivien Aubert, Nicolas Ciferri, Alfredo I. Hernández, Renaud de Crevoisier, Oscar Acosta:
Towards an integrative computational model for simulating tumor growth and response to radiation therapy. SIPAIM 2017: 1057216 - 2016
- [j5]Geoffrey Roman-Jimenez, Renaud de Crevoisier, Julie Leseur, Anne Devillers, Juan David Ospina, Antoine Simon, Pierre Tervé, Oscar Acosta:
Detection of bladder metabolic artifacts in 18F-FDG PET imaging. Comput. Biol. Medicine 71: 77-85 (2016) - [c19]Lina Guzman, Frederic Commandeur, Oscar Acosta, Antoine Simon, Alain Fautrel, Nathalie Rioux-Leclercq, Eduardo Romero, Romain Mathieu, Renaud de Crevoisier:
Slice correspondence estimation using SURF descriptors and context-based search for prostate whole-mount histology MRI registration. EMBC 2016: 1163-1166 - [c18]Geoffrey Roman-Jimenez, Oscar Acosta, Julie Leseur, Anne Devillers, Henri Der Sarkissian, Lina Guzman, Éloïse Grossiord, Juan David Ospina, Renaud de Crevoisier:
Random forests to predict tumor recurrence following cervical cancer therapy using pre- and per-treatment 18F-FDG PET parameters. EMBC 2016: 2444-2447 - 2015
- [j4]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) - [c17]Geoffrey Roman-Jimenez, Oscar Acosta, Julie Leseur, Anne Devillers, Jonathan Le Gouestre, Juan David Ospina, Antoine Simon, Pierre Tervé, Renaud de Crevoisier:
Weighted quantification of 18F-FDG tumor metabolism activity using fuzzy-thresholding to predict post-treatment tumor recurrence. EMBC 2015: 2239-2242 - [c16]Frederic Commandeur, Oscar Acosta, Antoine Simon, Romain Mathieu, Alain Fautrel, Khemara Gnep, Pascal Haigron, Renaud de Crevoisier:
Prostate whole-mount histology reconstruction and registration to MRI for correlating in-vivo observations with biological findings. EMBC 2015: 2399-2402 - [c15]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 - [c14]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 - [c13]Juan David Ospina, Aureline Fargeas, Gaël Dréan, Antoine Simon, Oscar Acosta, Renaud de Crevoisier:
Recent advancements in toxicity prediction following prostate cancer radiotherapy. EMBC 2015: 5231-5234 - 2014
- [j3]Guillaume Cazoulat, Antoine Simon, Aurélien Dumenil, Khemara Gnep, Renaud de Crevoisier, Oscar Acosta, Pascal Haigron:
Surface-Constrained Nonrigid Registration for Dose Monitoring in Prostate Cancer Radiotherapy. IEEE Trans. Medical Imaging 33(7): 1464-1474 (2014) - 2013
- [c12]Pengcheng Zhang, Huazhong Shu, Antoine Simon, Pascal Haigron, Renaud de Crevoisier:
A new pencil beam model for photon dose calculations. BMEI 2013: 428-432 - [c11]Frederic Commandeur, Oscar Acosta, Antoine Simon, Romain Mathieu, Pascal Haigron, Renaud de Crevoisier:
Propagation of the MRI prostate delineation to the planning CT: A new matching contour framework. ISBI 2013: 500-503 - [c10]Juan David Ospina, Frederic Commandeur, Richard Ríos, Gaël Dréan, Juan Carlos Correa, Antoine Simon, Pascal Haigron, Renaud de Crevoisier, Oscar Acosta:
A Tensor-Based Population Value Decomposition to Explain Rectal Toxicity after Prostate Cancer Radiotherapy. MICCAI (2) 2013: 387-394 - [c9]Mathieu Rubeaux, Antoine Simon, Khemara Gnep, Jérémy Colliaux, Oscar Acosta, Renaud de Crevoisier, Pascal Haigron:
Evaluation of non-rigid constrained CT/CBCT registration algorithms for delineation propagation in the context of prostate cancer radiotherapy. Image-Guided Procedures 2013: 867106 - 2012
- [c8]Gaël Dréan, Oscar Acosta, Antoine Simon, Renaud de Crevoisier, Pascal Haigron:
Inter-individual organ-driven CT registration for dose mapping in prostate cancer radiotherapy. ISBI 2012: 370-373 - [c7]Juan David Ospina, Oscar Acosta, Renaud de Crevoisier, Juan Carlos Correa, Pascal Haigron:
A non parametric mixed-effect model for population analysis: Application to Alzheimer's disease data. ISBI 2012: 1124-1127 - [c6]Fabio Martínez, Oscar Acosta, Renaud de Crevoisier, Eduardo Romero:
Local jet features and statistical models in a hybrid Bayesian framework for prostate estimation in CBCT images. Computer-Aided Diagnosis 2012: 83151R - 2011
- [j2]Julien Fleureau, Karim Bensalah, Denis Rolland, Olivier Lavastre, Nathalie Rioux-Leclercq, François Guillé, Jean-Jacques Patard, Renaud de Crevoisier, Lotfi Senhadji:
Characterization of renal tumours based on Raman spectra classification. Expert Syst. Appl. 38(11): 14301-14306 (2011) - [j1]Carole Garnier, Jean-Jacques Bellanger, Ke Wu, Huazhong Shu, Nathalie Costet, Romain Mathieu, Renaud de Crevoisier, Jean-Louis Coatrieux:
Prostate Segmentation in HIFU Therapy. IEEE Trans. Medical Imaging 30(3): 792-803 (2011) - [c5]Oscar Acosta, Antoine Simon, Frederic Monge, Frederic Commandeur, Cunka Bassirou, Guillaume Cazoulat, Renaud de Crevoisier, Pascal Haigron:
Evaluation of multi-atlas-based segmentation of CT scans in prostate cancer radiotherapy. ISBI 2011: 1966-1969 - [c4]Baiyang Chen, Oscar Acosta, Amar Kachenoura, Juan David Ospina, Gaël Dréan, Antoine Simon, Jean-Jacques Bellanger, Pascal Haigron, Renaud de Crevoisier:
Spatial Characterization and Classification of Rectal Bleeding in Prostate Cancer Radiotherapy with a Voxel-Based Principal Components Analysis Model for 3D Dose Distribution. Prostate Cancer Imaging 2011: 60-69 - [c3]Guillaume Cazoulat, Antoine Simon, Oscar Acosta, Juan David Ospina, Khemara Gnep, Romain Viard, Renaud de Crevoisier, Pascal Haigron:
Dose Monitoring in Prostate Cancer Radiotherapy Using CBCT to CT Constrained Elastic Image Registration. Prostate Cancer Imaging 2011: 70-79 - [c2]Juan David Ospina, Oscar Acosta, Gaël Dréan, Guillaume Cazoulat, Antoine Simon, Juan Carlos Correa, Pascal Haigron, Renaud de Crevoisier:
Spatial Nonparametric Mixed-Effects Model with Spatial-Varying Coefficients for Analysis of Populations. MLMI 2011: 142-150 - 2010
- [c1]Oscar Acosta, Jason Dowling, Guillaume Cazoulat, Antoine Simon, Olivier Salvado, Renaud de Crevoisier, Pascal Haigron:
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. Prostate Cancer Imaging 2010: 42-51
Coauthor Index
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