3 citations · 3 across the 1 of their papers we have counts for
2 papers
eess.IV2026★ 3 cited
Topology-Aware Loss for Aorta and Great Vessel Segmentation in Computed Tomography Images
Seher Ozcelik, Sinan Unver, Ilke Ali Gurses +2
Segmentation networks are not explicitly imposed to learn global invariants of an image, such as the shape of an object and the geometry between multiple objects, when they are tra…
eess.IV2024
PI-Att: Topology Attention for Segmentation Networks through Adaptive Persistence Image Representation
Mehmet Bahadir Erden, Sinan Unver, Ilke Ali Gurses +2
Segmenting multiple objects (e.g., organs) in medical images often requires an understanding of their topology, which simultaneously quantifies the shape of the objects and their p…