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Deep Learning-Based MRI Volumetry for Living Kidney Donor Assessment: A New Tool for Predicting Post-Donation Renal Function.

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第一作者： Dominik Thomas,Koch

第一单位： Department of General, Visceral and Transplantation Surgery, LMU University Hospital, LMU Munich, Munich, Germany.

作者： Dominik Thomas,Koch ^[1] ; Felix Oliver,Hofmann ^[1] ; Dimitrios,Trompoukis ^[1] ; Malte,Schirren ^[1] ; Severin,Jacobi ^[1] ; Tobias,Seibt ^[2] ; Stephan,Kemmner ^[2] ; Maximilian,Scheifele ^[3] ; Matthias,Ilmer ^[4] ; Bernhard,Renz ^[1] ; Jens,Werner ^[1] ; Manfred,Stangl ^[1] ; Markus,Guba ^[1] ; Dionysios,Koliogiannis ^[1]

作者单位： Department of General, Visceral and Transplantation Surgery, LMU University Hospital, LMU Munich, Munich, Germany. ^[1] Transplant Center, LMU University Hospital, LMU Munich, Munich, Germany. ^[2] Department of Nuclear Medicine, LMU University Hospital, LMU Munich, Munich, Germany. ^[3] Department of General, Visceral and Transplantation Surgery, LMU University Hospital, LMU Munich, Munich, Germany.;Division of General Surgery, Mayo Clinic, Rochester, Minnesota, USA. ^[4]

关键词 deep learning‐based MRI volumetry diagnostic techniques and imaging kidney function kidney transplantation living kidney donation magnetic resonance imaging (MRI)renal scintigraphy