2 citations · 2 across the 1 of their papers we have counts for
3 papers
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…
Adaptive Morph-Patch Transformer for Aortic Vessel Segmentation
Zhenxi Zhang, Fuchen Zheng, Adnan Iltaf +6
Accurate segmentation of aortic vascular structures is critical for diagnosing and treating cardiovascular diseases.Traditional Transformer-based models have shown promise in this…
VesselSAM: Leveraging SAM for Aortic Vessel Segmentation with AtrousLoRA
Adnan Iltaf, Rayan Merghani Ahmed, Zhenxi Zhang +2
Medical image segmentation is crucial for clinical diagnosis and treatment planning, especially when dealing with complex anatomical structures such as vessels. However, accurately…