Deep learning for automatic quantification of AVN of the femoral head on 3D MRI in patients eligible for joint preserving surgery: A pilot study

Ruckli, Adrian CyrillAdrian CyrillRuckliSchmaranzer, FlorianFlorianSchmaranzerLerch, TillTillLerch0000-0002-0475-0269Boschung, A.A.BoschungSteppacher, Simon DamianSimon DamianSteppacherBurger, JürgenJürgenBurgerTannast, M.M.TannastSiebenrock, Klaus-ArnoKlaus-ArnoSiebenrockGerber, NicolasNicolasGerber0000-0003-0308-699XGerber, KateKateGerber0000-0003-4086-49732025-01-082025-01-082021-06-04https://boris-portal.unibe.ch/handle/20.500.12422/201709en600 - Technology::610 - Medicine & healthDeep learning for automatic quantification of AVN of the femoral head on 3D MRI in patients eligible for joint preserving surgery: A pilot studyconference_item10.48350/161449