activity
20232026
most citedAutonomous Guidewire Navigation for Robot-assisted Endovascular Interventions: A Knowledge-Driven Visual Guidance Approach

1 citations · 2 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2026

Coarse Indexing, Fine Evidence: Decoupling Temporal Granularity in Long-Video RAG

Zhe Jin, Zhimin Lin, Bin Zheng +2

Graph-based retrieval-augmented generation (RAG) provides a scalable paradigm for long-video understanding, but existing systems typically inherit a fixed temporal granularity from…

cs.CV2025

Diverse Teaching and Label Propagation for Generic Semi-Supervised Medical Image Segmentation

Wei Li, Pengcheng Zhou, Linye Ma +3

Both limited annotation and domain shift are significant challenges frequently encountered in medical image segmentation, leading to derivative scenarios like semi-supervised medic…

eess.IV2024

UDCR: Unsupervised Aortic DSA/CTA Rigid Registration Using Deep Reinforcement Learning and Overlap Degree Calculation

Wentao Liu, Bowen Liang, Weijin Xu +7

The rigid registration of aortic Digital Subtraction Angiography (DSA) and Computed Tomography Angiography (CTA) can provide 3D anatomical details of the vasculature for the interv…

cs.RO2024★ 1 cited

Autonomous Guidewire Navigation for Robot-assisted Endovascular Interventions: A Knowledge-Driven Visual Guidance Approach

Wentao Liu, Weijin Xu, Xiaochuan Li +6

Autonomous robots for endovascular interventions hold significant potential to enhance procedural safety and reliability by navigating guidewires with precision, minimizing human e…

eess.IV2024★ 1 cited

An Automatic Cascaded Model for Hemorrhagic Stroke Segmentation and Hemorrhagic Volume Estimation

Weijin Xu, Zhuang Sha, Huihua Yang +4

Hemorrhagic Stroke (HS) has a rapid onset and is a serious condition that poses a great health threat. Promptly and accurately delineating the bleeding region and estimating the vo…

cs.CV2023

Cross-head mutual Mean-Teaching for semi-supervised medical image segmentation

Wei Li, Ruifeng Bian, Wenyi Zhao +2

Semi-supervised medical image segmentation (SSMIS) has witnessed substantial advancements by leveraging limited labeled data and abundant unlabeled data. Nevertheless, existing sta…

eess.IV2023

TSI-Net: A Timing Sequence Image Segmentation Network for Intracranial Artery Segmentation in Digital Subtraction Angiography

Lemeng Wang, Wentao Liu, Weijin Xu +3

Cerebrovascular disease is one of the major diseases facing the world today. Automatic segmentation of intracranial artery (IA) in digital subtraction angiography (DSA) sequences i…

eess.IV2023

Two-Stage Hybrid Supervision Framework for Fast, Low-resource, and Accurate Organ and Pan-cancer Segmentation in Abdomen CT

Wentao Liu, Tong Tian, Weijin Xu +3

Abdominal organ and tumour segmentation has many important clinical applications, such as organ quantification, surgical planning, and disease diagnosis. However, manual assessment…