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JCO Clinical Cancer Informatics|April 8, 2024
Association Between Body Composition and Survival in Patients With Gastroesophageal Adenocarcinoma: An Automated Deep Learning ApproachMatthias Jung, Thierno D Diallo, Tobias Scheef, et al.
AJR. American Journal of Roentgenology|February 5, 2025
Use of Photon-Counting Detector CT to Visualize Liver-Specific Gadolinium-Based Contrast Agents: A Phantom StudyStephan Rau, Thomas Stein, Alexander Rau, et al.
Academic Radiology|February 11, 2025
Association Between Aortic Imaging Features and Impaired Glucose Metabolism: A Deep Learning Population Phenotyping ApproachAlexander Rau, Lea Michel, Marco Reisert, et al.
European Radiology|April 30, 2023
Deep learning segmentation results in precise delineation of the putamen in multiple system atrophyAlexander Rau, Nils Schröter, Michel Rijntjes, et al.
Magnetic Resonance in Medicine|September 11, 2013
Reproducibility study of four-dimensional flow MRI of arterial and portal venous liver hemodynamics: influence of spatio-temporal resolutionZoran Stankovic, Bernd Jung, Jeremy Collins, et al.
Rofo : Fortschritte Auf Dem Gebiete Der Rontgenstrahlen Und Der Nuklearmedizin|April 17, 2007
[Flow-sensitive in-vivo 4D MR imaging at 3T for the analysis of aortic hemodynamics and derived vessel wall parameters]A Frydrychowicz, M Markl, A Harloff, et al.
AJNR. American Journal of Neuroradiology|July 1, 2025
Photon-counting detector CT of the brain reduces variability of Hounsfield units and has a mean offset compared with energy-integrating detector CTThomas Stein, Friederike Lang, Stephan Rau, et al.
Academic Radiology|April 15, 2026
Deep Learning Informed by Contrast-enhanced MRI Allows for Precise Segmentation of the Choroid Plexus in Non-contrast DataAraz Incesoy, Maximilian F Russe, Jonas A Hosp, et al.
Emergency Radiology|May 2, 2026
Single-sequence low-field 3D T1-weighted MRI for scaphoid fracture detection compared to radiography: prospective diagnostic accuracy pilot studyClaudia Neubauer, Christopher Schuppert, Carolin S Reidelbach, et al.
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