@conference{EURECOM+8348,
  author = {Septiers, V. and  C. Sosa-Marrero, E. Poeta, Chourak, H. and  Briens, A. and  De Crevoisier and  R. and  Zuluaga, Maria A and  Acosta, O},
  title = {Explainable prediction of recurrence after prostate cancer radiotherapy using in silico digital twin model and machine learning},
  booktitle = {DT4H 2025, MICCAI Workshop for Digital Twin in Healthcare, 23 September 2025, Daejeon, Republic of Korea / Also  published in Lecture Notes in Computer Science, Vol. 16193, Springer},
  year = {2025},
  editor = {Springer},
  address = {Daejeon},
  note = {©  Springer. Personal use of this material is permitted. The definitive version of this paper was published in DT4H 2025, MICCAI Workshop for Digital Twin in Healthcare, 23 September 2025, Daejeon, Republic of Korea / Also  published in Lecture Notes in Computer Science, Vol. 16193, Springer and is available at : https://doi.org/10.1007/978-3-032-07694-6\_15},
}