The ISLES’24 Dataset: A Multimodal Stroke Imaging Dataset with Hyperacute CT, Acute Postinterventional MRI, and 3-month Clinical Outcomes
= 1715) datasets (12) have expanded available imaging data, datasets pairing acute CT with follow-up MRI (13) remain limited. We address this gap by providing a publicly available dataset that combines hyperacute CT (< 24 h post onset) with acute postinterventional MRI (2-9 days after successful reperfusion; modified Treatment in Cerebral Ischemia 2c or 3) and structured clinical follow-up through 3 months. This combination enables analysis of infarct evolution and supports AI model development for postinterventional stroke care. © RSNA, 2026.
Authors
- Jan S. Kirschke (ORCID: https://orcid.org/0000-0002-7557-0003)
- Daniel Rueckert (ORCID: https://orcid.org/0000-0002-5683-5889)
- Hakim Baazaoui (ORCID: https://orcid.org/0000-0002-6820-2659)
- David Robben (ORCID: https://orcid.org/0000-0002-2266-8867)
- Benedikt Wiestler (ORCID: https://orcid.org/0000-0002-2963-7772)
- Ruisheng Su (ORCID: https://orcid.org/0000-0002-5013-1370)
- Roland Wiest (ORCID: https://orcid.org/0000-0001-7030-2045)
- T Boeckh-Behrens
- Houjing Huang (ORCID: https://orcid.org/0000-0002-5705-2480)
- The Anh Baran
- Joaquin Oscar Seia
- Ezequiel Rosa
- Evamaria Olga Riedel
- Bjoern Menze
- Maria Berndt
- Claus Zimmer
- Fabio Antonio Musio (ORCID: https://orcid.org/0009-0009-6205-9407)
- Moritz Hernandez Petzsche (ORCID: https://orcid.org/0000-0002-4288-3863)
- Kaiyuan Yang
- Susanne Wegener
- Mauricio Reyes
Institutions
- University of Bern (CH)
- Bern University of Applied Sciences (CH)
- ZHAW Zurich University of Applied Sciences (CH)
- University of Zurich (CH)
- Universitat de Girona (ES)
- University Hospital of Bern (CH)
- TUM Klinikum (DE)
- Quantitative BioSciences (US)
- University Hospital of Zurich (CH)
- Translational Research in Oncology (FR)
- Icometrix (Belgium) (BE)
- Imperial College London (GB)
- Technical University of Munich (DE)
- Eindhoven University of Technology (NL)
Publication Details
- Journal
- Radiology Artificial Intelligence
- Published
- 2026-04-22
- DOI
- https://doi.org/10.1148/ryai.250603
- Primary Topic
- Acute Ischemic Stroke Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00