Neural network algorithm for detection of erosions and ankylosis on CT of the sacroiliac joints: multicentre development and validation of diagnostic accuracy

Van den Berghe, ThomasThomasVan den BergheBabin, DaniloDaniloBabinChen, MinMinChenCallens, MartijnMartijnCallensBrack, DenimDenimBrackMaes, HelenaHelenaMaesLievens, JanJanLievensLammens, MarieMarieLammensVan Sumere, MaximeMaximeVan SumereMorbee, LieveLieveMorbeeHautekeete, SimonSimonHautekeeteSchatteman, StijnStijnSchattemanJacobs, TomTomJacobsThooft, Willem-JanWillem-JanThooftHerregods, NeleNeleHerregodsHuysse, WouterWouterHuysseJaremko, Jacob L.Jacob L.JaremkoLambert, RobertRobertLambertMaksymowych, WalterWalterMaksymowychLaloo, FrederiekFrederiekLalooBaraliakos, XenofonXenofonBaraliakosDe Craemer, Ann-SophieAnn-SophieDe CraemerCarron, PhilippePhilippeCarronvan den Bosch, FilipFilipvan den BoschElewaut, DirkDirkElewautJans, LennartLennartJans2023-11-232023-06-092023-11-2320230938-7994WOS:000994131900003https://imec-publications.be/handle/20.500.12860/41701Neural network algorithm for detection of erosions and ankylosis on CT of the sacroiliac joints: multicentre development and validation of diagnostic accuracyJournal article10.1007/s00330-023-09704-yWOS:000994131900003RADIOLOGICAL GRADING CRITERIAAXIAL SPONDYLOARTHRITISCOMPUTED-TOMOGRAPHYSPONDYLITISBURDENSEGMENTATIONRADIOGRAPHYSCANSMEDLINE:37219619