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The ISLES’24 Dataset: A Multimodal Stroke Imaging Dataset with Hyperacute CT, Acute Postinterventional MRI, and 3-month Clinical Outcomes
0
Zitationen
21
Autoren
2026
Jahr
Abstract
= 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.
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Autoren
- Evamaria Olga Riedel
- Ezequiel Rosa
- The Anh Baran
- Moritz Hernandez Petzsche
- Hakim Baazaoui
- Kaiyuan Yang
- Fabio Antonio Musio
- Houjing Huang
- David Robben
- Joaquin Oscar Seia
- Roland Wiest
- Mauricio Reyes
- Ruisheng Su
- Claus Zimmer
- T Boeckh-Behrens
- Maria Berndt
- Bjoern Menze
- Daniel Rueckert
- Benedikt Wiestler
- Susanne Wegener
- Jan S. Kirschke
Institutionen
- TUM Klinikum(DE)
- Quantitative BioSciences(US)
- University Hospital of Zurich(CH)
- ZHAW Zurich University of Applied Sciences(CH)
- University of Zurich(CH)
- Icometrix (Belgium)(BE)
- Universitat de Girona(ES)
- University Hospital of Bern(CH)
- University of Bern(CH)
- Bern University of Applied Sciences(CH)
- Eindhoven University of Technology(NL)
- Imperial College London(GB)
- Technical University of Munich(DE)
- Translational Research in Oncology(FR)