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 | 43 | 2021 |
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 | 8 | 2023 |
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 | 3 | 2024 |
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 | 3 | 2023 |
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 | 3 | 2023 |
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 |