6 papers
In silico trials of acute ischemic stroke: predicting the total potential for improvement to patient functional outcomes
Claire M. Miller, Raymond Padmos, Praneeta Konduri +7
This study uses in silico trials (ISTs) to quantify the potential for benefit due to improved recanalisation outcomes and shorter time to treatment for acute ischaemic stroke (AIS)…
From Pixels to Polygons: A Survey of Deep Learning Approaches for Medical Image-to-Mesh Reconstruction
Fengming Lin, Arezoo Zakeri, Yidan Xue +7
Deep learning-based medical image-to-mesh reconstruction has rapidly evolved, enabling the transformation of medical imaging data into three-dimensional mesh models that are critic…
3D Topological Modeling and Multi-Agent Movement Simulation for Viral Infection Risk Analysis
Wassim Jabi, Yidan Xue, Thomas E. Woolley +1
In this paper, a method to study how the design of indoor spaces and people's movement within them affect disease spread is proposed by integrating computer-aided modeling, multi-a…
VIRIS: Simulating indoor airborne transmission combining architectural design and people movement
Yidan Xue, Wassim Jabi, Thomas E. Woolley +1
A Viral Infection Risk Indoor Simulator (VIRIS) has been developed to quickly assess and compare mitigations for airborne disease spread. This agent-based simulator combines people…
Computing Stokes flows in periodic channels via rational approximation
Yidan Xue
Rational approximation has proven to be a powerful method for solving two-dimensional (2D) fluid problems. At small Reynolds numbers, 2D Stokes flows can be represented by two anal…
Stokes flows in a two-dimensional bifurcation
Yidan Xue, Stephen J. Payne, Sarah L. Waters
The flow network model is an established approach to approximate pressure-flow relationships in a bifurcating network, and has been widely used in many contexts. Existing models ty…