Pierre Fontaine

Publication Activity (10 Years)

Years Active: 2019-2022
Publications (10 Years): 8

Top Topics

Multiple Kernel Learning

Radiation Therapy

Top Venues

Publications

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