Research Fellow, Multiscale X-ray Imaging Lab (MXI Lab), Department of Mechanical Engineering, University College London (UCL), London, UK
Lin Xi (Xilin), Research Fellow, Multiscale X-ray Imaging Lab (MXI Lab), Department of Mechanical Engineering, University College London (UCL), UK.
Email: lin[dot]xi[at]ucl[dot]ac[dot]uk, xilin[dot]chibchin[at]outlook[dot]com
Dr Lin Xi (Xilin) is currently a Research Fellow in the Multiscale X-ray Imaging Lab (MXI Lab) within the Department of Mechanical Engineering at University College London (UCL). His research focuses on biomedical image processing using deep learning–based methods. His current work centres on vascular segmentation in Hierarchical Phase-Contrast Tomography (HiP-CT) multiscale brain imaging.
Before joining UCL, Xilin worked as a Senior Research Associate in the School of Computing Sciences at the University of East Anglia. His research there centred on multimodal cardiac image analysis using X-ray, CT, and MR data, as well as multi-task learning approaches including classification, detection, segmentation, and 3D reconstruction. During this time, he was involved in the EPSRC-funded project (EP/X023826/1), “Three-dimensional Hybrid Guidance System for Cardiac Interventional Procedures.” In this project, he developed AI-driven multi-task computer vision algorithms for coronary artery segmentation and surgical tool localisation, enabling 3D reconstruction of vascular structures. These methods support applications across X-ray, CT, and MR image analysis, particularly for image-guided surgical procedures.
Xilin received his PhD from the School of Automation Science and Electrical Engineering at Beihang University, Beijing, China. His doctoral research focused on video object segmentation and remote photoplethysmography, with an emphasis on visual and scene understanding in dynamic environments.
Few-Shot Video Object Segmentation in X-Ray Angiography Using Local Matching and Spatio-Temporal Consistency Loss
Lin Xi, Yingliang Ma* and Xiahai Zhuang
In Neural Networks, 2026
Robust Noisy Pseudo-label Learning for Semi-supervised Medical Image Segmentation Using Diffusion Model
Lin Xi, Yingliang Ma*, Cheng Wang, Sandra Howell, Aldo Rinaldi and Kawal S. Rhode
In DGM4MICCAI, 2025
3D Reconstruction of Coronary Vessel Trees from Biplanar X-Ray Images Using a Geometric Approach
Ethan Koland, Lin Xi*, Nadeev Wijesuriya and YingLiang Ma*
In STACOM workshop, MICCAI, 2025
Catheter Detection and Segmentation in X-ray Images via Multi-task Learning
Lin Xi*, Yingliang Ma*, Ethan Koland, Sandra Howell, Aldo Rinaldi and Kawal S. Rhode
In IPCAI, 2025
Online Unsupervised Video Object Segmentation via Contrastive Motion Clustering
Lin Xi, Weihai Chen*, Xingming Wu, Zhong Liu and Zhengguo Li
In TCSVT, 2023
Weighted Combination and Singular Spectrum Analysis Based Remote Photoplethysmography Pulse Extraction in Low-light Environments
Lin Xi, Xingming Wu, Weihai Chen*, Jianhua Wang and Changchen Zhao*
In MEP, 2022
Implicit Motion-Compensated Network for Unsupervised Video Object Segmentation
Lin Xi, Weihai Chen*, Xingming Wu, Zhong Liu and Zhengguo Li
In TCSVT, 2022
Image Enhancement for Remote Photoplethysmography in a Low-Light Environment
Lin Xi, Weihai Chen, Changchen Zhao*, Xingming Wu and Jianhua Wang
In FG, 2020
The Research on Intelligent Monitoring System of Key Tire Parameters for Automotive Driving Safety Based on Vehicular Networking
Huaguang Yang*, Lin Xi, Qingquan He, Fengfeng Liu, Ming Yang, Hua Yan and Weimin Yang
In ITOEC, 2015
Three-dimensional hybrid guidance system for cardiac interventional procedures, EPSRC Grant (EP/X023826/1), PI: Prof. Yingliang Ma.
Semantic Mapping for Mobile Robot with Fusion of the Mechanisms of Human Memory and Visual Attention, IR&MCT Lab.
Research on Tire Wear Real-time Inspection System Based on Abrasive Sensor and Mechanism of Tire Wear, Yinglan Lab.