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Michael MacRaild
Michael MacRaild
在 manchester.ac.uk 的电子邮件经过验证
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In-silico trial of intracranial flow diverters replicates and expands insights from conventional clinical trials
A Sarrami-Foroushani, T Lassila, M MacRaild, J Asquith, KCB Roes, ...
Nature communications 12 (1), 3861, 2021
432021
Deep physics-informed super-resolution of cardiac 4D-flow MRI
F Shone, N Ravikumar, T Lassila, M MacRaild, Y Wang, ZA Taylor, ...
International Conference on Information Processing in Medical Imaging, 511-522, 2023
82023
Accelerated simulation methodologies for computational vascular flow modelling
M MacRaild, A Sarrami-Foroushani, T Lassila, AF Frangi
Journal of the Royal Society Interface 21 (211), 20230565, 2024
32024
Adaptive semi-supervised segmentation of brain vessels with ambiguous labels
F Lin, Y Xia, N Ravikumar, Q Liu, M MacRaild, AF Frangi
International Conference on Medical Image Computing and Computer-Assisted …, 2023
32023
Hemodynamics of thrombus formation in intracranial aneurysms: An in silico observational study
Q Liu, A Sarrami-Foroushani, Y Wang, M MacRaild, C Kelly, F Lin, Y Xia, ...
APL bioengineering 7 (3), 2023
32023
Reduced order modelling of intracranial aneurysm flow using proper orthogonal decomposition and neural networks
M Macraild, A Sarrami-Foroushani, T Lassila, AF Frangi
International Journal for Numerical Methods in Biomedical Engineering, 2024
2024
Unsupervised Domain Adaptation for Brain Vessel Segmentation through Transwarp Contrastive Learning
F Lin, Y Xia, M MacRaild, Y Deo, H Dou, Q Liu, K Wu, N Ravikumar, ...
arXiv preprint arXiv:2402.15237, 2024
2024
GS-EMA: Integrating Gradient Surgery Exponential Moving Average with Boundary-Aware Contrastive Learning for Enhanced Domain Generalization in Aneurysm Segmentation
F Lin, Y Xia, M MacRaild, Y Deo, H Dou, Q Liu, N Cheng, N Ravikumar, ...
arXiv preprint arXiv:2402.15239, 2024
2024
Efficient ensemble simulation methods for in-silico trials of endovascular medical devices
M MacRaild
University of Leeds, 2024
2024
In‐silico calibration of intracranial aneurysm thrombosis models based on clinical data
Q Liu, AS Foroushani, Y Wang, M Macraild, C Kelly, N Ravikumar, ...
2022
Research Data for" In-silico trial of intracranial flow diverters replicates and expands insights from conventional clinical trials"
A Sarrami-Foroushani, T Lassila, M Macraild, J Asquith, KCB Roes, ...
2021
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