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eess.IV2025
Do Segmentation Models Understand Vascular Structure? A Blob-Based XAI Framework
Guillaume Garret, Antoine Vacavant, Carole Frindel
Deep learning models have achieved impressive performance in medical image segmentation, yet their black-box nature limits clinical adoption. In vascular applications, trustworthy…
eess.IV2024
A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge
Ezequiel de la Rosa, Mauricio Reyes, Sook-Lei Liew +55
Diffusion-weighted MRI (DWI) is essential for stroke diagnosis, treatment decisions, and prognosis. However, image and disease variability hinder the development of generalizable A…
eess.IV2024
Deep vessel segmentation based on a new combination of vesselness filters
Guillaume Garret, Antoine Vacavant, Carole Frindel
Vascular segmentation represents a crucial clinical task, yet its automation remains challenging. Because of the recent strides in deep learning, vesselness filters, which can sign…