The STOIC2021 COVID-19 AI challenge: Applying reusable training methodologies to private data

Boulogne, Luuk H.Luuk H.BoulogneLorenz, JulianJulianLorenzKienzle, DanielDanielKienzleSchoen, RobinRobinSchoenLudwig, KatjaKatjaLudwigLienhart, RainerRainerLienhartJegou, SimonSimonJegouLi, GuangGuangLiChen, CongCongChenWang, QiQiWangShi, DerikDerikShiManiparambil, MayugMayugManiparambilMueller, DominikDominikMuellerMertes, SilvanSilvanMertesSchroeter, NiklasNiklasSchroeterHellmann, FabioFabioHellmannElia, MiriamMiriamEliaDirks, IneIneDirksBossa, Matias NicolasMatias NicolasBossaBerenguer, Abel DiazAbel DiazBerenguerMukherjee, TanmoyTanmoyMukherjeeVandemeulebroucke, JefJefVandemeulebrouckeSahli, HichemHichemSahliDeligiannis, NikolaosNikolaosDeligiannisGonidakis, PanagiotisPanagiotisGonidakisHuynh, Ngoc DungNgoc DungHuynhRazzak, ImranImranRazzakBouadjenek, RedaRedaBouadjenekVerdicchio, MarioMarioVerdicchioBorrelli, PasqualePasqualeBorrelliAiello, MarcoMarcoAielloMeakin, James A.James A.MeakinLemm, AlexanderAlexanderLemmRuss, ChristophChristophRussIonasec, RazvanRazvanIonasecParagios, NikosNikosParagiosvan Ginneken, BramBramvan GinnekenRevel, Marie-PierreMarie-PierreRevel2025-01-232024-07-052025-01-2320241361-8415WOS:001257371000001https://imec-publications.be/handle/20.500.12860/44127The STOIC2021 COVID-19 AI challenge: Applying reusable training methodologies to private dataJournal article10.1016/j.media.2024.103230WOS:001257371000001SEGMENTATIONCTALGORITHMSPREDICTIONVALIDATIONDIAGNOSISIMAGESAREASMEDLINE:38875741