1 citations · 1 across the 3 of their papers we have counts for
3 papers
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…
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…
ARTInp: CBCT-to-CT Image Inpainting and Image Translation in Radiotherapy
Ricardo Coimbra Brioso, Leonardo Crespi, Andrea Seghetto +5
A key step in Adaptive Radiation Therapy (ART) workflows is the evaluation of the patient's anatomy at treatment time to ensure the accuracy of the delivery. To this end, Cone Beam…