Pierre Fontaine

According to our database, Pierre Fontaine authored at least 9 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

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

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2022

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

Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022

2021

Towards a Reduced In Silico Model Predicting Biochemical Recurrence After Radiotherapy in Prostate Cancer.

Carlos Sosa Marrero, Renaud de Crevoisier, Alfredo I. Hernández, Pierre Fontaine, Nathalie Rioux-Leclercq, Romain Mathieu, Alain Fautrel, François Paris, Oscar Acosta

IEEE Trans. Biomed. Eng., 2021

Fully Automatic Head and Neck Cancer Prognosis Prediction in PET/CT.

Pierre Fontaine, Vincent Andrearczyk, Valentin Oreiller, Joël Castelli, Mario Jreige, John O. Prior, Adrien Depeursinge

Proceedings of the Multimodal Learning for Clinical Decision Support, 2021

Multi-task Deep Segmentation and Radiomics for Automatic Prognosis in Head and Neck Cancer.

Vincent Andrearczyk, Pierre Fontaine, Valentin Oreiller, Joël Castelli, Mario Jreige, John O. Prior, Adrien Depeursinge

Proceedings of the Predictive Intelligence in Medicine - 4th International Workshop, 2021

Mechanistic Simulation of Tumor Response Outperforms Radiomics Predicting Recurrence in Prostate Cancer Radiotherapy.

Carlos Sosa Marrero, Pierre Fontaine, Eugenia Mylona, Khémara Gnep, Alfredo I. Hernández, François Paris, Renaud de Crevoisier, Oscar Acosta

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

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

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

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

Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019

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

Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019