most citedAn Automatic Cascaded Model for Hemorrhagic Stroke Segmentation and Hemorrhagic Volume Estimation

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

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

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.IV20241 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…