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)

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)

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)

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)

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)