2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CV2026
HTC-SGA Former: A Hybrid Transformer-CNN Network with Self-Guided Attention and a New Boundary-Weighted Adaptive Loss for Coronary DSA Vessel Segmentation
Rayan Merghani Ahmed, Marwa Omer Mohammed Omer, Mohamed Elmanna +3
Accurate coronary Digital Subtraction Angiography (DSA) vessel segmentation is essential for computer-aided diagnosis and treatment planning of coronary artery disease (CAD). Howev…
eess.IV2026★ 2 cited
MSA-UNet3+: Multi-Scale Attention UNet3+ with New Supervised Prototypical Contrastive Loss for Coronary DSA Image Segmentation
Rayan Merghani Ahmed, Adnan Iltaf, Mohamed Elmanna +5
Accurate segmentation of coronary Digital Subtraction Angiography (DSA) images is essential for diagnosing and treating coronary artery disease (CAD). Despite advances in deep lear…