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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

M. Lindholz

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3 papers indexed here

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Open access Sep 2026

Deep learning-driven analysis of osteotomy gap healing following mandibular bilateral sagittal split osteotomy.

Bone healing across the osteotomy gap after bilateral sagittal split osteotomy (BSSO) determines whether osteosynthesis material can be safely removed, but is traditionally assessed by subjective visual inspection of cone-beam computed tomography (CBCT) images. This study aimed to develop and validate a deep learning-b...

M. Alfertshofer, Kento Odaka, S. Bigus et al. · 0 citations
Review Open access Sep 2026

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

Deep Learning-based analysis of CT topograms with DICOM-derived spatial geometry, enables reliable and reproducible image-based anatomical labelling of CT series, reducing reliance on inconsistent DICOM attributes and improving data consistency and scalability for clinical applications.

Yu-Tong Wen, Judith Kohnke, V. Parmar et al. · 1 citation
Jul 2026

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

A Dinomaly-based unsupervised anomaly detection framework adapted for pelvic MRI that learns normative representations from healthy cases and flags deviations without requiring labels is presented.

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

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