Neural network fusion: a novel CT-MR aortic aneurysm image segmentation method. - Duo Wang; Rui Zhang; Jin Zhu; Zhongzhao Teng; Yuan Huang 009; Filippo Spiga; Michael Hong-Fei Du; Jonathan H. Gillard; Qingsheng Lu; Pietro Liò (Image Processing, 2018)

Bayesian Inference-Based Estimation of Normal Aortic, Aneurysmal and Atherosclerotic Tissue Mechanical Properties: From Material Testing, Modeling and Histology. - Shuo Wang 011; Aziz Tokgoz; Yuan Huang 009; Yongxue Zhang; Jiaxuan Feng; Priya Sastry; Chang Sun; Nichola Figg; Qingsheng Lu; Michael P. F. Sutcliffe; Zhongzhao Teng; Jonathan H. Gillard (IEEE Trans. Biomed. Eng., 2019)

Force feedback controls of multi-gripper robotic endovascular intervention: design, prototype, and experiments. - Kundong Wang; Jianyun Liu; Weiwu Yan; Qingsheng Lu; Shengdong Nie (Int. J. Comput. Assist. Radiol. Surg., 2021)

A Hybrid gripper and its clamping force control for Long-Segment Devices in robotic Endovascular Intervention System. - Kundong Wang; Jianyun Liu; Lu Li; Shibo Xia; Qingsheng Lu (Int. J. Robotics Autom., 2022)

Image-Guided Autonomous Guidewire Navigation in Robot-Assisted Endovascular Interventions using Reinforcement Learning. - Wentao Liu 004; Tong Tian; Weijin Xu; Bowen Liang; Qingsheng Lu; Xipeng Pan; Wenyi Zhao; Huihua Yang; Ruisheng Su (CoRR, 2024)

UDCR: Unsupervised Aortic DSA/CTA Rigid Registration Using Deep Reinforcement Learning and Overlap Degree Calculation. - Wentao Liu 004; Bowen Liang; Weijin Xu; Tong Tian; Qingsheng Lu; Xipeng Pan; Haoyuan Li; Siyu Tian; Huihua Yang; Ruisheng Su (CoRR, 2024)