Author

Carol C. Hasler

2 papers indexed here

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Open access Oct 2026

Learning from the unseen: synthetic data for scoliosis AI segmentation.

PURPOSE Severe scoliosis remains challenging for 3D vertebral segmentation because annotated pathological computed tomography (CT) data are scarce. METHODS We synthesize scoliosis-like CT volumes by jointly warping public healthy spine scans and labels and then train nnU-Net CNN and PRIMUS models under matched comput...

Volodimir Buchakchiyskiy, S. El Hadramy, Norbert Zentai et al. · International Journal of Com... · 0 citations

#artificial intelligence Preprint Sep 2026

SA-Profile: Automated Sulcus Angle Profiling from Super-Resolution MRI

An automatic framework for continuous SA profiling from super-resolved MR volumes is proposed, extending conventional SA assessment to a continuous profile-based description of trochlear morphology without additional imaging, while remaining conceptually linked to current clinical assessment.

Michael Wehrli, Leo Widmer, Edwin Li et al. · 0 citations