Aldraimli, Mahmoud ;
Osman, Sarah ;
Grishchuck, Diana...
Aldraimli , M , Osman , S , Grishchuck , D , Ingram , S , Lyon , R , Mistry , A , Oliveira , J , Samuel , R , Shelley , L E A , Soria , D , Dwek , M V , Aguado-Barrera , M E , Azria , D , Chang-Claude , J , Dunning , A , Giraldo , A , Green , S , Gutiérrez-Enríquez , S , Herskind , C , van Hulle , H , Lambrecht , M , Lozza , L , Rancati , T , Reyes , V , Rosenstein , B S , de Ruysscher , D , de Santis , M C , Seibold , P , Sperk , E , Symonds , R P , Stobart , H , Taboada-Valadares , B , Talbot , C J , Vakaet , V J L , Vega , A , Veldeman , L , Veldwijk , M R , Webb , A , Weltens , C , West , C M , Chaussalet , T J & Rattay , T 2022 , ' Development and Optimization of a Machine-Learning Prediction Model for Acute Desquamation After Breast Radiation Therapy in the Multicenter REQUITE Cohort ' , Advances in radiation oncology , vol. 7 , no. 3 , 100890 . https://doi.org/10.1016/j.adro.2021.100890.
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2022
