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

Evamaria Olga Riedel, Ezequiel de la 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, Tobias Boeckh-Behrens, Maria Berndt, Bjoern Menze, Daniel Rueckert, Benedikt Wiestler, Susanne Wegener, Jan Stefan Kirschke

Open source

DOI: 10.1148/ryai.250603
Published: 2026-05-01
Container: Radiology: Artificial Intelligence
Publisher: Radiological Society of North America (RSNA)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1148/ryai.250603,
  title = {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},
  author = {Evamaria Olga Riedel and Ezequiel de la Rosa and The Anh Baran and Moritz Hernandez Petzsche and Hakim Baazaoui and Kaiyuan Yang and Fabio Antonio Musio and Houjing Huang and David Robben and Joaquin Oscar Seia and Roland Wiest and Mauricio Reyes and Ruisheng Su and Claus Zimmer and Tobias Boeckh-Behrens and Maria Berndt and Bjoern Menze and Daniel Rueckert and Benedikt Wiestler and Susanne Wegener and Jan Stefan Kirschke},
  year = {2026},
  journal = {Radiology: Artificial Intelligence},
  doi = {10.1148/ryai.250603},
  url = {https://doi.org/10.1148/ryai.250603}
}

RIS

TY  - JOUR
TI  - 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
AU  - Evamaria Olga Riedel
AU  - Ezequiel de la Rosa
AU  - The Anh Baran
AU  - Moritz Hernandez Petzsche
AU  - Hakim Baazaoui
AU  - Kaiyuan Yang
AU  - Fabio Antonio Musio
AU  - Houjing Huang
AU  - David Robben
AU  - Joaquin Oscar Seia
AU  - Roland Wiest
AU  - Mauricio Reyes
AU  - Ruisheng Su
AU  - Claus Zimmer
AU  - Tobias Boeckh-Behrens
AU  - Maria Berndt
AU  - Bjoern Menze
AU  - Daniel Rueckert
AU  - Benedikt Wiestler
AU  - Susanne Wegener
AU  - Jan Stefan Kirschke
PY  - 2026
JO  - Radiology: Artificial Intelligence
DO  - 10.1148/ryai.250603
UR  - https://doi.org/10.1148/ryai.250603
ER  -

APA

Riedel, E. O., Rosa, E. D. L., Baran, T. A., Petzsche, M. H., Baazaoui, H., Yang, K., Musio, F. A., Huang, H., Robben, D., Seia, J. O., Wiest, R., Reyes, M., Su, R., Zimmer, C., Boeckh-Behrens, T., Berndt, M., Menze, B., Rueckert, D., Wiestler, B., Wegener, S., & Kirschke, J. S. (2026). 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. Radiology: Artificial Intelligence. https://doi.org/10.1148/ryai.250603

Source records

crossref · retrieved 2026-09-26T05:59:12.622Z