@conference{EURECOM+7819,
  author = {Septiers, Valentin and  Sosa-Marrero, Carlos and  de Crevoisier, Renaud and  Briens, Aurélien and  Chourak, Hilda and  Zuluaga, Maria A. and  Acosta, Oscar},
  title = {Improved prediction of recurrence after prostate cancer radiotherapy using multimodal data and in silico simulations},
  booktitle = {MICCAI 2024, 3rd MICCAI Workshop on Cancer Prevention, detection, and intervenTion (CaPTion), 6 October  2024, Marrakesh, Morocco / Also published in Lecture Notes in Computer Science (LNCS), Vol. 15199},
  year = {2024},
  editor = {Springer},
  address = {Marrakesh},
  note = {©  Springer. Personal use of this material is permitted. The definitive version of this paper was published in MICCAI 2024, 3rd MICCAI Workshop on Cancer Prevention, detection, and intervenTion (CaPTion), 6 October  2024, Marrakesh, Morocco / Also published in Lecture Notes in Computer Science (LNCS), Vol. 15199 and is available at : https://doi.org/10.1007/978-3-031-73376-5\_20},
}