2 citations · 2 across the 12 of their papers we have counts for
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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…
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…
SpineMamba: Enhancing 3D Spinal Segmentation in Clinical Imaging through Residual Visual Mamba Layers and Shape Priors
Zhiqing Zhang, Tianyong Liu, Guojia Fan +3
Accurate segmentation of 3D clinical medical images is critical in the diagnosis and treatment of spinal diseases. However, the inherent complexity of spinal anatomy and uncertaint…
Introducing Shape Prior Module in Diffusion Model for Medical Image Segmentation
Zhiqing Zhang, Guojia Fan, Tianyong Liu +5
Medical image segmentation is critical for diagnosing and treating spinal disorders. However, the presence of high noise, ambiguity, and uncertainty makes this task highly challeng…