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The Ischemic Stroke Lesion Segmentation Challenge (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
A multicenter longitudinal stroke dataset with hyperacute CT, acute MRI 2–9 days after reperfusion, and 3-month clinical outcomes is presented to support machine learning models for lesion identification and outcome prediction.
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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)