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Yidan Xue I am a postdoctoral researcher in Professor Alex Frangi's group at the University of Manchester. My research focuses on the development of in-silico trials for transcatheter heart valves. Prior to this, I held postdoctoral positions in applied mathematics at Cardiff University and the University of Oxford. I did my DPhil on modelling oxygen transport and tissue damage in the human brain with Professor Stephen Payne at University of Oxford. |
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Research |
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3D Topological Modeling and Multi-Agent Movement Simulation for Viral Infection Risk Analysis
Wassim Jabi, Yidan Xue, Thomas E Woolley, Katerina Kaouri Architectural Science Review, 2025 code An integrated method combining topological 3D building models, multi-agent movement simulation, and an extended Wells–Riley airborne transmission model to assess infection risk as a function of spatial design and occupant behaviour. |
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Precision TAVR Quantification — AI-accelerated TAVR Planning Reduces Assessment Time by 80% in Bicuspid Aortic Stenosis
Yu Mao, Yang Liu, Mengen Zhai, Ping Jin, Wenjing Li, Xinglong Dong, Fangyao Chen, Xiaodong Wang, Yanchi Wang, Gejun Zhang, Hongxin Li, Yining Yang, Haibo Zhang, Jian Liu, Yingqiang Guo, Yongjian Wu, Yidan Xue, Junpeng Zhang, Alejandro Frangi, Jian Yang European Heart Journal – Imaging Methods and Practice, 2025 Cardioverse, the first fully automated deep learning algorithm for bicuspid aortic valve anatomical assessment in TAVR planning, reduces measurement time by 80% and user interactions by 85% while maintaining high accuracy across a 16-centre cohort of 1,147 patients. |
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In silico trials of acute ischemic stroke: predicting the total potential for improvement to patient functional outcomes
Claire M. Miller, Raymond Padmos, Praneeta Konduri, Tamás István Józsa, Yidan Xue, Nerea Arrarte Terreros, Max van der Kolk, Stephen Payne, Henk Marquering, Charles Majoie, Alfons Hoekstra arXiv, 2025 An in-silico trial framework quantifies the maximum potential benefit of full recanalisation and early treatment for acute ischaemic stroke, predicting functional independence rates across a virtual patient population using multi-scale perfusion and tissue injury models. |
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Synthetic Anatomy: Deep Learning Models for Virtual Population Generation — A Review
Zherui Zhou, Arezoo Zakeri, Haoran Dou, Yidan Xue, Michael MacRaild, Jinghan Huang, Fengming Lin, Ali Sarrami-Foroushani, Jinming Duan, Alejandro F Frangi medRxiv, 2025 A systematic review of deep learning methods for generating virtual organ populations for in-silico trials, analysing fidelity, utility, generalisability, and diversity across template, statistical, generative, and implicit model families. |
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From Pixels to Polygons: A Survey of Deep Learning Approaches for Medical Image-to-Mesh Reconstruction
Fengming Lin, Arezoo Zakeri, Yidan Xue, Michael MacRaild, Haoran Dou, Zherui Zhou, Ziwei Zou, Ali Sarrami-Foroushani, Jinming Duan, Alejandro F Frangi arXiv, 2025 A survey categorising deep learning-based medical image-to-mesh reconstruction into template, statistical, generative, and implicit model families, with quantitative comparisons across cardiac, neurological, and other anatomical applications. |
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Transit time mean and variance are markers of vascular network structure, wall shear stress distribution and oxygen extraction fraction
Stephen J Payne, Yidan Xue, Jen-Feng Kuo, Wahbi K El-Bouri Biomechanics and Modeling in Mechanobiology, 2025 Transit time distributions in vascular networks encode intrinsic geometric information: mean transit time approximates tissue permeability while relative transit time heterogeneity is a marker of wall shear stress variability and oxygen extraction fraction. |
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Computing Stokes flows in periodic channels via rational approximation
Yidan Xue Proceedings of the Royal Society A, 2025 code A new algorithm for computing two-dimensional Stokes flows in periodic channels using trigonometric rational functions, with poles placed via the AAA-least squares algorithm, achieving at least six-digit accuracy in under one second. |
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Stokes flows in a two-dimensional bifurcation
Yidan Xue, Stephen J Payne, Sarah L Waters Royal Society Open Science, 2025 code The LARS algorithm is used to compute Stokes flows in 2D bifurcations with varied geometry and fixed objects, showing that Poiseuille's law can substantially misestimate flow conductance; machine-learned surrogate models provide more accurate approximations. |
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Modelling indoor airborne transmission combining architectural design and people movement using the VIRIS simulator and web app
Yidan Xue, Wassim Jabi, Thomas E Woolley, Katerina Kaouri Scientific Reports, 2024 code / web app VIRIS is an agent-based simulator combining indoor movement, detailed architectural design, and viral aerosol transmission for rapid comparison of non-pharmaceutical interventions, validated against a courtroom superspreader event. |
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Computation of two-dimensional Stokes flows via lightning and AAA rational approximation
Yidan Xue, Sarah L Waters, Lloyd N Trefethen SIAM Journal on Scientific Computing, 2024 code The LARS (Lightning-AAA Rational Stokes) algorithm computes two-dimensional Stokes flows in general smooth and multiply connected domains with at least six-digit accuracy in under one second, using rational approximation of Goursat functions. |
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Quantification of hypoxic regions distant from occlusions in cerebral penetrating arteriole trees
Yidan Xue, Theodosia Georgakopoulou, Anne-Eva van der Wijk, Tamás I Józsa, Ed van Bavel, Stephen J Payne PLOS Computational Biology, 2022 In vivo microembolism experiments and in silico simulations of cerebral penetrating arteriole occlusions reveal that hypoxic regions form at sites distant from occlusions, primarily due to downstream hypoperfusion in the affected arteriole territory. |
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In silico trials for treatment of acute ischemic stroke: design and implementation
Claire Miller, Raymond M Padmos, Max van der Kolk, Tamás I Józsa, Noor Samuels, Yidan Xue, Stephen J Payne, Alfons G Hoekstra Computers in Biology and Medicine, 2021 An event-based modelling framework for in-silico trials of acute ischaemic stroke, integrating multi-scale perfusion, intervention, and tissue injury models with a statistical virtual patient population to predict 90-day functional outcomes. |
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Modelling the effects of cerebral microthrombi on tissue oxygenation and cell death
Yidan Xue, Wahbi K El-Bouri, Tamás I Józsa, Stephen J Payne Journal of Biomechanics, 2021 A new framework quantifies the effects of cerebral microthrombi on oxygen transport and tissue death, combining a Green's function perfusion model with a thrombus extravasation model and a hypoxia-based 3-state cell death model. |
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Formation of vortices in idealised branching vessels: a CFD benchmark study
Yidan Xue, Rudolf Hellmuth, Dong-hyuk Shin Cardiovascular Engineering and Technology, 2020 A CFD benchmark study validates vortex detection in idealised branching blood vessels against experiments by Karino and Goldsmith, and proposes a surrogate model for vortex size as a function of Reynolds number and bifurcation geometry. |
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TeachingUniversity of Oxford
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Template from Jon Barron. |