Adaptive application of the operator exponential. - Markus Jürgens (J. Num. Math., 2006)

VirtualDSA++: Automated Segmentation, Vessel Labeling, Occlusion Detection and Graph Search on CT-Angiography Data. - Florian Thamm; Markus Jürgens; Hendrik Ditt; Andreas Maier 001 (VCBM, 2020)

Abstract: VirtualDSA++ - Automated Segmentation, Vessel Labeling, Occlusion Detection, and Graph Search on CT Angiography Data. - Florian Thamm; Markus Jürgens; Hendrik Ditt; Andreas Maier 001 (Bildverarbeitung für die Medizin, 2021)

SyNCCT: Synthetic Non-contrast Images of the Brain from Single-Energy Computed Tomography Angiography. - Florian Thamm; Oliver Taubmann; Felix Denzinger; Markus Jürgens; Hendrik Ditt; Andreas Maier 001 (MICCAI (7), 2021)

Detection of Large Vessel Occlusions Using Deep Learning by Deforming Vessel Tree Segmentations. - Florian Thamm; Oliver Taubmann; Markus Jürgens; Hendrik Ditt; Andreas K. Maier (Bildverarbeitung für die Medizin, 2022)

Building Brains: Subvolume Recombination for Data Augmentation in Large Vessel Occlusion Detection. - Florian Thamm; Oliver Taubmann; Markus Jürgens; Aleksandra Thamm; Felix Denzinger; Leonhard Rist; Hendrik Ditt; Andreas Maier 001 (MICCAI (3), 2022)

An Algorithm for the Labeling and Interactive Visualization of the Cerebrovascular System of Ischemic Strokes. - Florian Thamm; Markus Jürgens; Oliver Taubmann; Aleksandra Thamm; Leonhard Rist; Hendrik Ditt; Andreas K. Maier (CoRR, 2022)

Spectral attenuation curves of photon-counting detector CT scans for the differentiation between mucinous and non-mucinous cyst fluids of pancreatic lesions - a proof-of-concept study. - Ibolyka Dudás; Borbála Lovász; Márton Benke; Máté Kiss; Markus Jürgens; Ákos Szücs; Pál Novák Kaposi; Attila Szijártó; Pál Maurovich-Horvat; Bettina Katalin Budai (BMC Medical Imaging, 2025)