6 citations · 8 across the 3 of their papers we have counts for
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eess.IV2025★ 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…
eess.IV2024★ 6 cited
Deep Learning Segmentation and Classification of Red Blood Cells Using a Large Multi-Scanner Dataset
Mohamed Elmanna, Ahmed Elsafty, Yomna Ahmed +2
Digital pathology has recently been revolutionized by advancements in artificial intelligence, deep learning, and high-performance computing. With its advanced tools, digital patho…