activity
20212026
most citedImproving anatomical plausibility in medical image segmentation via hybrid graph neural networks: applications to chest x-ray analysis

71 citations · 129 across the 12 of their papers we have counts for

collaborators
Showing 2026Show all

2 papers · 1 filter

cs.CV2026

Self-Supervised Temporal Regularization for Landmark-Based Cardiac Segmentation with Automatic AHA Regional Mapping

David Montalvo-García, Nicolás Gaggion, María J. Ledesma-Carbayo +1

Graph-based cardiac segmentation with implicit anatomical correspondences provides topological guarantees and population-level analysis capabilities, but models trained on independ…

cs.CV2026

Mask-HybridGNet: Graph-based segmentation with emergent anatomical correspondence from pixel-level supervision

Nicolás Gaggion, Maria J. Ledesma-Carbayo, Stergios Christodoulidis +2

Graph-based medical image segmentation represents anatomical structures using boundary graphs, providing fixed-topology landmarks and inherent population-level correspondences. How…