Segmenting Whole-Body MRI and CT for Multiorgan Anatomic Structure Delineation.

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Title: Segmenting Whole-Body MRI and CT for Multiorgan Anatomic Structure Delineation.
Authors: Häntze H; Department of Radiology, Charité - Universitätsmedizin Berlin corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany.; Diagnostic Image Analysis Group, Radboud University Medical Center, Nijmegen, the Netherlands., Xu L; Department of Radiology, Charité - Universitätsmedizin Berlin corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany., Mertens CJ; Department of Diagnostic and Interventional Radiology, School of Medicine and Health, Klinikum rechts der Isar, TUM University Hospital, Technical University of Munich, Munich, Germany., Dorfner FJ; Department of Radiology, Charité - Universitätsmedizin Berlin corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany.; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, Mass., Donle L; Department of Radiology, Charité - Universitätsmedizin Berlin corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany., Busch F; Department of Diagnostic and Interventional Radiology, School of Medicine and Health, Klinikum rechts der Isar, TUM University Hospital, Technical University of Munich, Munich, Germany., Kader A; Department of Diagnostic and Interventional Radiology, School of Medicine and Health, Klinikum rechts der Isar, TUM University Hospital, Technical University of Munich, Munich, Germany., Ziegelmayer S; Department of Diagnostic and Interventional Radiology, School of Medicine and Health, Klinikum rechts der Isar, TUM University Hospital, Technical University of Munich, Munich, Germany., Bayerl N; Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Erlangen, Germany., Navab N; Laboratory for Computer Aided Medical Procedures, Technical University of Munich, Munich, Germany., Rueckert D; Chair for AI in Medicine and Healthcare, Klinikum rechts der Isar, Technical University Munich, Munich, Germany.; Department of Computing, Imperial College London, London, UK.; Institute for Advanced Study, Technical University Munich, Munich, Germany., Schnabel J; Institute for Advanced Study, Technical University Munich, Munich, Germany., Aerts HJWL; Artificial Intelligence in Medicine (AIM) Program, Mass General Brigham, Harvard Medical School, Boston, Mass.; Departments of Radiation Oncology and Radiology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Boston, Mass.; Radiology and Nuclear Medicine, CARIM & GROW, Maastricht University, Maastricht, the Netherlands., Truhn D; Department of Diagnostic and Interventional Radiology, University Hospital Aachen, Aachen, Germany., Bamberg F; Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany., Weiss J; Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany., Schlett CL; Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany., Ringhof S; Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany., Niendorf T; Berlin Ultrahigh Field Facility (B.U.F.F.), Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany., Pischon T; Berlin Ultrahigh Field Facility (B.U.F.F.), Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany., Kauczor HU; Clinic for Diagnostic and Interventional Radiology, Heidelberg University Hospital, Heidelberg, Germany., Nonnenmacher T; Clinic for Diagnostic and Interventional Radiology, Heidelberg University Hospital, Heidelberg, Germany., Kröncke T; Department of Diagnostic and Interventional Radiology and Neuroradiology, Universitätsklinikum Augsburg, Augsburg, Germany., Völzke H; Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany., Schulz-Menger J; Experimental Clinical Research Center, Charité - Universitätsmedizin Berlin corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany., Maier-Hein K; Division of Medical Image Computing, German Cancer Research Center, Heidelberg, Germany., Hering A; Diagnostic Image Analysis Group, Radboud University Medical Center, Nijmegen, the Netherlands., Prokop M; Diagnostic Image Analysis Group, Radboud University Medical Center, Nijmegen, the Netherlands., van Ginneken B; Diagnostic Image Analysis Group, Radboud University Medical Center, Nijmegen, the Netherlands., Makowski MR; Department of Diagnostic and Interventional Radiology, School of Medicine and Health, Klinikum rechts der Isar, TUM University Hospital, Technical University of Munich, Munich, Germany., Adams LC; Department of Diagnostic and Interventional Radiology, School of Medicine and Health, Klinikum rechts der Isar, TUM University Hospital, Technical University of Munich, Munich, Germany., Bressem KK; Department of Diagnostic and Interventional Radiology, School of Medicine and Health, Klinikum rechts der Isar, TUM University Hospital, Technical University of Munich, Munich, Germany.; Department of Cardiovascular Radiology and Nuclear Medicine, School of Medicine and Health, German Heart Center, TUM University Hospital, Technical University of Munich, Lazarettstr 36, 80636 Munich, Germany.
Source: Radiology. Artificial intelligence [Radiol Artif Intell] 2025 Nov; Vol. 7 (6), pp. e240777.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Radiological Society of North America, Inc Country of Publication: United States NLM ID: 101746556 Publication Model: Print Cited Medium: Internet ISSN: 2638-6100 (Electronic) Linking ISSN: 26386100 NLM ISO Abbreviation: Radiol Artif Intell Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2638-6100
DOI:10.1148/ryai.240777