5 papers
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…
ScribbleDose: Scribble-Guided Dose Prediction in Radiotherapy
Zhenxi Zhang, Yitao Zhuang, Yao Pu +7
Anatomical structure masks are widely adopted in radiotherapy dose prediction, as they provide explicit geometric constraints that facilitate structure-dose coupling. However, conv…
DV-VLN: Dual Verification for Reliable LLM-Based Vision-and-Language Navigation
Zijun Li, Shijie Li, Zhenxi Zhang +2
Vision-and-Language Navigation (VLN) requires an embodied agent to navigate in a complex 3D environment according to natural language instructions. Recent progress in large languag…
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…