Author

M. Lindholz

2 papers indexed here

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Review Open access Sep 2026

Topogram-based anatomical labelling of CT series: anatomy-aware CT data processing using deep learning.

OBJECTIVES This study provides a Rapid Analysis and Processing of Image Data (RAPID) framework that combines deep learning-based CT topogram analysis with DICOM spatial geometry to enable reliable anatomical labelling of CT series independent of inconsistent textual metadata. MATERIALS AND METHODS In this single-cent...

Yu-Tong Wen, Judith Kohnke, V. Parmar et al. · European Radiology · 0 citations

Jul 2026

Panda: Unsupervised Pelvic Anomaly Detection for Real-Time MR Imaging

Female pelvic diseases remain an under researched area characterized by often delayed diagnosis. While pelvic MRI offers superior soft-tissue contrast for diagnosis and image-guided procedures, real-time anomaly detection remains challenging due to physiological motion, tissue deformation, and instrument artifacts. Exi...

Anika Knupfer, M. Lindholz, J. Müller et al. · arXiv.org · 0 citations