Fabio Musio

Projects

• GEMINI: A Generation of Multi-scale Digital Twins of Ischaemic and Haemorrhagic Stroke Patients / Team member / ongoing
• Deep Brain Vessel Profiler / Team member / completed

Publications

Articles in scientific journal, peer-reviewed

• Riedel, E. O. et al. (2026) ‘The ISLES’24 dataset : a multimodal stroke imaging dataset with hyperacute CT, acute postinterventional MRI, and 3-month clinical outcomes’, Radiology: Artificial Intelligence, p. e250603. doi: 10.1148/ryai.250603.
• Musio, F. et al. (2026) ‘Circle of Willis centerline graphs : a dataset and baseline algorithm’, Neuroscience Informatics, 6(1), p. 100265. doi: 10.1016/j.neuri.2026.100265.
• Vos, I. N. et al. (2025) ‘Evaluation of techniques for automated classification and artery quantification of the circle of Willis on TOF-MRA images : the CROWN challenge’, Medical Image Analysis, 105(103650). doi: 10.1016/j.media.2025.103650.

Written conference contributions, peer-reviewed

• Dima, A. F. et al. (2025) ‘Parametric shape models for vessels learned from segmentations via differentiable voxelization’, in Wachinger, C. et al. (eds) Shape in Medical Imaging. Cham: Springer, pp. 247–261. doi: 10.1007/978-3-032-06774-6_19.
• Musio, F. et al. (2024) ‘Quantitative evaluation of the Circle of Willis vascular architecture in 3D CT and MR angiography’, in Nithiarasu, P. and Lohner, R. (eds) CMBE24: 8th International Conference on Computational & Mathematical Biomedical Engineering. Computational & Mathematical Biomedical Engineering, pp. 563–566. doi: 10.21256/zhaw-31451.
• Prabhakar, C. et al. (2024) ‘3D Vessel Graph Generation Using Denoising Diffusion’, in Linguraru, M. G. et al. (eds) Medical Image Computing and Computer Assisted Intervention – MICCAI 2024. Cham: Springer, pp. 3–13. doi: 10.1007/978-3-031-72120-5_1.

Oral conference contributions and abstracts

Musio, F. et al. (2023) ‘Circle of Willis configurations in stroke patients’, in 19th Interdisciplinary Cerebrovascular Symposium, Geneva, Switzerland, 17-19 August 2023.

Research data

Riedel, Evamaria Olga; de la Rosa, Ezequiel; Baran, The Anh; Hernandez Petzsche, Moritz; Baazaoui, Hakim; Yang, Kaiyuan; Musio, Fabio Antonio; Huang, Houjing; Robben, David; Seia, Joaquin Oscar; Wiest, Roland; Reyes, Mauricio; Su, Ruisheng; Zimmer, Claus; Boeckh-Behrens, Tobias; Berndt, Maria; Menze, Bjoern; Rueckert, Daniel; Wiestler, Benedikt; Wegener, Susanne; Kirschke, Jan Stefan, 2025. ISLES'24 : a real-world longitudinal multimodal stroke dataset. Zenodo. Available from: https://doi.org/10.5281/zenodo.17652035

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