General Hospital of Guangzhou Military Command

most citedMSA-UNet3+: Multi-Scale Attention UNet3+ with New Supervised Prototypical Contrastive Loss for Coronary DSA Image Segmentation

2 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

Adnan Iltaf1 · h 1
B. Hou1 · h 10
Bin Li1 · h 10
Gang Zhao1 · h 2
Hongliang Li1 · h 2
Jianghong He1 · h 24
Ming Song1 · h 34
Mohamed Elmanna1 · h 4
Qiang Zhang1 · h 8
Qiu-You Xie1 · h 19
R. Ahmed1 · h 1
Ronghao Yu1 · h 17

collaborating institutions

Cairo UniversityEG1 paper
Chinese Academy of SciencesCN1 paper
Command Hospital Air ForceIN1 paper
Institute of AutomationCN1 paper
Shandong Institute of AutomationCN1 paper
Shenzhen Institutes of Advanced TechnologyCN1 paper
Southern Command HospitalIN1 paper
The Military General Hospital of Beijing PLACN1 paper
Third Affiliated Hospital of Southern Medical UniversityCN1 paper
University of Chinese Academy of SciencesCN1 paper

Showing eess.IVShow all

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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…