Author

Michael Bach

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Preprint Sep 2026

nnFoundation: 3D Foundation Models for Radiology

Radiological artificial intelligence has advanced rapidly, yet most systems remain narrowly task-specific, data-intensive, and fragile under domain shift. Foundation models promise more transferable and data-efficient solutions, but existing approaches are limited in scale, evaluated narrowly, and often assume that a s...

C. U. Harsy, Tassilo Wald, Karol Gotkowski et al. · 0 citations

#artificial intelligence Preprint Aug 2026

Extending TotalSegmentator: Predicting Patient and Acquisition Characteristics from CT and MR Images

One 3D multitask model per modality can rapidly recover patient and acquisition characteristics from heterogeneous CT and MR examinations and outperformed a segmentation-derived XGBoost baseline for all four core targets in both modalities.

J. Wasserthal, Joshy Cyriac, Michael Bach et al. · 0 citations

Open access Jul 2026

Technical Developments in Radiology: Enhancing Research Workflows with PACScrawler.

PACScrawler is an open-source tool designed to streamline cohort assembly by enabling efficient search and access to imaging studies across Picture Archiving and Communication Systems (PACS) and Radiology Information Systems (RIS).

Joshy Cyriac, A. Indrakanti, J. Wasserthal et al. · Journal of imaging informati... · 0 citations