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cs.CV2026
SIAM: Head and Brain MRI Segmentation from Few High-Quality Templates via Synthetic Training
Romain Valabregue, Ines Khemir, Eric Badinet +3
Synthetic training has recently advanced brain MRI segmentation by enabling contrast-agnostic models trained entirely on generated data. However, most existing approaches rely on h…
cs.CV2024
PyCellMech: A shape-based feature extraction pipeline for use in medical and biological studies
Janan Arslan, Henri Chhoa, Ines Khemir +2
Summary: Medical researchers obtain knowledge about the prevention and treatment of disability and disease using physical measurements and image data. To assist in this endeavor, f…