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cs.CV2026
Performance uncertainty in medical image analysis: a large-scale investigation of confidence intervals
Pascaline André, Charles Heitz, Evangelia Christodoulou +10
Performance uncertainty quantification is essential for reliable validation and eventual clinical translation of medical imaging artificial intelligence (AI). Confidence intervals…
cs.CV2025
Enhancing efficiency in paediatric brain tumour segmentation using a pathologically diverse single-center clinical dataset
A. Piffer, J. A. Buchner, A. G. Gennari +11
Background Brain tumours are the most common solid malignancies in children, encompassing diverse histological, molecular subtypes and imaging features and outcomes. Paediatric bra…
cs.CV2025
CHaRM: Conditioned Heatmap Regression Methodology for Accurate and Fast Dental Landmark Localization
José RodrÃguez-Ortega, Francisco Pérez-Hernández, Siham Tabik
Identifying anatomical landmarks in 3D dental models is essential for orthodontic treatment, yet manual placement is labor-intensive and requires expert knowledge. While machine le…