Author

J. Kottlors

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Preprint Sep 2026

Parallel Training Using a CNN-DNN Architecture for Accelerated Development of Diagnostic Models

Artificial intelligence has shown promise in assisting radiologists in imaging-based diagnosis across a wide range of diseases. Efficient training of large deep learning models is essential to cope with extremely large data sets or dynamically growing disease data, like in a pandemic like situation. In this retrospecti...

Janine Weber-Hamacher, Astha Jaiswal, P. Fervers et al. · 0 citations

Open access Aug 2026

Comprehensive cardiovascular magnetic resonance in acute myocarditis: Association between mapping parameters and in-hospital severity.

BACKGROUND Cardiovascular magnetic resonance (CMR) is central to the non-invasive assessment of suspected myocarditis. Although the diagnostic and longer-term prognostic value of CMR mapping has been established, its relationship with bedside markers of acute in-hospital disease severity remains less well defined. In t...

Kenan Kaya, J. P. Janssen, L. Pennig et al. · European Journal of Radiolog... · 0 citations

Open access Sep 2026

A deep learning framework for automated quantification of peripheral nerve lesions in MR neurography

A reproducible deep learning-based framework for automated segmentation and quantitative assessment of peripheral nerve lesions in MR neurography is introduced and enables standardized volumetric characterization of small intraneural abnormalities and provides a basis for scalable, quantitative peripheral nerve imaging...

N. Beste, C. Raudonat, M. Fesselier et al. · European Radiology Experimen... · 0 citations