Litcius/Paper detail

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

Hartmut Häntze, Lina Xu, Christian Mertens, Felix J. Dorfner, Leonhard Donle, Felix Busch, Avan Kader, Sebastian Ziegelmayer, Nadine Bayerl, Nassir Navab, Daniel Rueckert, Julia A. Schnabel, Hugo J.W.L. Aerts, Daniel Truhn, Fabian Bamberg, Jakob Weiss, Christopher L. Schlett, Steffen Ringhof, Thoralf Niendorf, Tobias Pischon, Hans‐Ulrich Kauczor, Tobias Nonnenmacher, Thomas Kröncke, Henry Völzke, Jeanette Schulz‐Menger, Klaus Maier‐Hein, Alessa Hering, Mathias Prokop, Bram van Ginneken, Mat Makowski, Lisa C. Adams, Keno K. Bressem

2025Radiology Artificial Intelligence12 citationsDOIOpen Access PDF

Abstract

MR-Imaging, Segmentation, Vision, Application Domain, Supervised Learning, Type of Machine Learning © The Author(s) 2025. Published by the Radiological Society of North America under a CC BY 4.0 license. See also commentary by Tao in this issue.

Topics & Concepts

MedicineSegmentationMagnetic resonance imagingRadiologyArtificial intelligenceRetrospective cohort studySørensen–Dice coefficientMedical physicsNuclear medicineComputer scienceSurgeryImage segmentationRadiomics and Machine Learning in Medical ImagingAdvanced X-ray and CT ImagingMedical Imaging Techniques and Applications