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2020 – today
- 2024
[c8]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- 2022
- [c7]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
- [j1]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) - [c6]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 - [c5]Pierre Fontaine, Vincent Andrearczyk, Valentin Oreiller, Joël Castelli, Mario Jreige, John O. Prior, Adrien Depeursinge:
Fully Automatic Head and Neck Cancer Prognosis Prediction in PET/CT. ML-CDS@MICCAI 2021: 59-68 - [c4]Vincent Andrearczyk, Pierre Fontaine, Valentin Oreiller, Joël Castelli, Mario Jreige, John O. Prior, Adrien Depeursinge:
Multi-task Deep Segmentation and Radiomics for Automatic Prognosis in Head and Neck Cancer. PRIME@MICCAI 2021: 147-156 - 2020
- [c3]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
- [c2]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 - [c1]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
Coauthor Index
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