1 citations · 1 across the 4 of their papers we have counts for
Showing cs.CVShow all
2 papers · 1 filter
cs.CV2026
Budget-Aware Uncertainty for Radiotherapy Segmentation QA Using nnU-Net
Ricardo Coimbra Brioso, Lorenzo Mondo, Damiano Dei +4
Accurate delineation of the Clinical Target Volume (CTV) is essential for radiotherapy planning, yet remains time-consuming and difficult to assess, especially for complex treatmen…
cs.CV2026
Efficient KernelSHAP Explanations for Patch-based 3D Medical Image Segmentation
Ricardo Coimbra Brioso, Giulio Sichili, Damiano Dei +4
Perturbation-based explainability methods such as KernelSHAP provide model-agnostic attributions but are typically impractical for patch-based 3D medical image segmentation due to…