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Diagnostics (Basel, Switzerland)|March 3, 2021
Non-Specific Low Back Pain and Lumbar Radiculopathy: Comparison of Morphologic and Compositional MRI as Assessed by gagCEST Imaging at 3TMiriam Frenken, Sven Nebelung, Christoph Schleich, et al.
Clinical Imaging|April 12, 2023
Contrast medium free selective adrenal vein sampling in the management of primary aldosteronismMatthias Boschheidgen, Marta Kantauskaite, Johannes Stegbauer, et al.
Arthritis Research & Therapy|September 18, 2020
Functional MR imaging beyond structure and inflammation-radiographic axial spondyloarthritis is associated with proteoglycan depletion of the lumbar spineDaniel B Abrar, Christoph Schleich, Styliani Tsiami, et al.
Patient Education and Counseling|April 3, 2026
Motivations and experiences of high-risk men in risk-adapted prostate cancer early detection: A qualitative studyMaike K Klett, Ilayda Balkan, Jale Lakes, et al.
European Urology Open Science|April 21, 2025
Characterisation of Multiparametric Magnetic Resonance Imaging of the Prostate in Younger Men with Normal Prostate-specific Antigen Within the PROBASE StudyRouvier Al-Monajjed, Lars Schimmöller, Jan Philipp Radtke, et al.
Tomography (Ann Arbor, Mich.)|June 1, 2022
Chemical Exchange Saturation Transfer for Lactate-Weighted Imaging at 3 T MRI: Comprehensive In Silico, In Vitro, In Situ, and In Vivo EvaluationsKarl Ludger Radke, Daniel B Abrar, Miriam Frenken, et al.
European Urology Open Science|January 21, 2026
Genetic Testing and Imaging in Men with Familial History or Genetic Predisposition of Prostate Cancer-Introducing the Prospective "ProFam-Risk" StudyJale Lakes, Matthias Boschheidgen, Gerald Antoch, et al.
Diagnostics (Basel, Switzerland)|July 2, 2021
Deep Learning-Based Post-Processing of Real-Time MRI to Assess and Quantify Dynamic Wrist Movement in Health and DiseaseKarl Ludger Radke, Lena Marie Wollschläger, Sven Nebelung, et al.
European Journal of Nuclear Medicine and Molecular Imaging|December 22, 2023
Prediction of therapy response of breast cancer patients with machine learning based on clinical data and imaging data derived from breast [18F]FDG-PET/MRIKai Jannusch, Frederic Dietzel, Nils Martin Bruckmann, et al.
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