Massi, Michela Carlotta ;
Gasperoni, Francesca ;
Ieva, Francesca...
Massi , M C , Gasperoni , F , Ieva , F , Paganoni , A M , Zunino , P , Manzoni , A , Franco , N R , Veldeman , L , Ost , P , Fonteyne , V , Talbot , C J , Rattay , T , Webb , A , Symonds , P R , Johnson , K , Lambrecht , M , Haustermans , K , De Meerleer , G , de Ruysscher , D , Vanneste , B , Van Limbergen , E , Choudhury , A , Elliott , R M , Sperk , E , Herskind , C , Veldwijk , M R , Avuzzi , B , Giandini , T , Valdagni , R , Cicchetti , A , Azria , D , Jacquet , M-P F , Rosenstein , B S , Stock , R G , Collado , K , Vega , A , Aguado-Barrera , M E , Calvo , P , Dunning , A M , Fachal , L , Kerns , S L , Payne , D , Chang-Claude , J , Seibold , P , West , C M L , Rancati , T & REQUITE consortium 2020 , ' A Deep Learning Approach Validates Genetic Risk Factors for Late Toxicity After Prostate Cancer Radiotherapy in a REQUITE Multi-National Cohort ' , Frontiers in Oncology , vol. 10 , 541281 . https://doi.org/10.3389/fonc.2020.541281.
,
2020