Research output per year
Research output per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Doctor of Philosophy, Efficient Ensemble Simulation Methods for In-Silico Trials of Endovascular Medical Devices, University of Leeds
Award Date: 13 May 2024
Master in Science, Fluid Dynamics, University of Leeds
Award Date: 1 Oct 2019
Master of Mathematics and Physics, The University of Manchester
Award Date: 19 Jul 2018
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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From Pixels to Polygons: A Survey of Deep Learning Approaches for Medical Image-to-Mesh Reconstruction
Lin, F., Zakeri, A., Xue, Y., MacRaild, M., Dou, H., Zhou, Z., Zou, Z., Sarrami-Foroushani, A., Duan, J. & Frangi, A. F., 6 May 2025, arXiv, p. 1-49, 49 p.Research output: Preprint/Working paper › Preprint
File94 Downloads (Pure) -
In-Silico Neurosurgery: Toward Safe, Effective and Equitable Flow Diverter Treatment of Intracranial Aneurysms
MacRaild, M., Sarrami-Foroushani, A., Patankar, T. & Frangi, A. F., 1 Mar 2025, In: World Neurosurgery. 195, 123589.Research output: Contribution to journal › Article › peer-review
Open Access -
Key influencers in an aneurysmal thrombosis model: A sensitivity analysis and validation study
Liu, Q., Lassila, T., Lin, F., MacRaild, M., Patankar, T., Islim, F., Song, S., Xu, H., Chen, X., Taylor, Z. A., Sarrami-Foroushani, A. & Frangi, A. F., 1 Mar 2025, In: APL Bioengineering. 9, 1, 016107.Research output: Contribution to journal › Article › peer-review
Open Access -
Accelerated simulation methodologies for computational vascular flow modelling
Macraild, M., Sarrami-Foroushani, A., Lassila, T. & Frangi, A., 14 Feb 2024, In: Journal of the Royal Society. Interface. 21, 211, 30 p., 20230565.Research output: Contribution to journal › Article › peer-review
Open Access -
Adaptive Semi-supervised Segmentation of Brain Vessels with Ambiguous Labels
Lin, F., Xia, Y., Ravikumar, N., Liu, Q., MacRaild, M. & Frangi, A. F., 27 Apr 2024, Data Augmentation, Labelling, and Imperfections - 3rd MICCAI Workshop, DALI 2023 Held in Conjunction with MICCAI 2023, Proceedings. Xue, Y., Chen, C., Chen, C., Zuo, L. & Liu, Y. (eds.). Springer Nature, p. 106-116 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14379 LNCS).Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review
Open Access