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.
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| 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. |
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| Authors: | Riedel EO; Department of Diagnostic and Interventional Neuroradiology, School of Medicine and Health, TUM Klinikum Rechts der Isar, Technical University of Munich, Ismaninger Strasse 22, Munich 81675, Germany., de la Rosa E; Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland., Baran TA; Department of Diagnostic and Interventional Neuroradiology, School of Medicine and Health, TUM Klinikum Rechts der Isar, Technical University of Munich, Ismaninger Strasse 22, Munich 81675, Germany., Hernandez Petzsche M; Department of Diagnostic and Interventional Neuroradiology, School of Medicine and Health, TUM Klinikum Rechts der Isar, Technical University of Munich, Ismaninger Strasse 22, Munich 81675, Germany., Baazaoui H; Department of Neurology, University Hospital of Zurich and University of Zurich, Zurich, Switzerland., Yang K; Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland., Musio FA; Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland.; Center for Computational Health, Zurich University of Applied Sciences, Zurich, Switzerland., Huang H; Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland., Robben D; icometrix, Leuven, Belgium., Seia JO; Department of Computer Architecture and Technology, University of Girona, Girona, Spain., Wiest R; Support Center of Advanced Neuroimaging (SCAN), University Institute of Diagnostic and Interventional Neuroradiology, Inselspital, Bern, Switzerland.; University Institute of Diagnostic and Interventional Neuroradiology, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland., Reyes M; ARTORG Center for Biomedical Research, University of Bern, Bern, Switzerland.; Department of Radiation Oncology, University Hospital Bern, University of Bern, Switzerland., Su R; Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands., Zimmer C; Department of Diagnostic and Interventional Neuroradiology, School of Medicine and Health, TUM Klinikum Rechts der Isar, Technical University of Munich, Ismaninger Strasse 22, Munich 81675, Germany., Boeckh-Behrens T; Department of Diagnostic and Interventional Neuroradiology, School of Medicine and Health, TUM Klinikum Rechts der Isar, Technical University of Munich, Ismaninger Strasse 22, Munich 81675, Germany., Berndt M; Department of Diagnostic and Interventional Neuroradiology, School of Medicine and Health, TUM Klinikum Rechts der Isar, Technical University of Munich, Ismaninger Strasse 22, Munich 81675, Germany., Menze B; Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland., Rueckert D; Chair for AI in Healthcare and Medicine, Technical University of Munich (TUM) and TUM University Hospital, Munich, Germany.; Department of Computing, Imperial College London, London, United Kingdom., Wiestler B; Department of Diagnostic and Interventional Neuroradiology, School of Medicine and Health, TUM Klinikum Rechts der Isar, Technical University of Munich, Ismaninger Strasse 22, Munich 81675, Germany.; TranslaTUM - Central Institute for Translational Cancer Research, Technical University of Munich, Munich, Germany.; AI for Image-Guided Diagnosis and Therapy, School of Medicine and Health, Technical University of Munich, Munich, Germany., Wegener S; Department of Neurology, University Hospital of Zurich and University of Zurich, Zurich, Switzerland.; Department of Neurology, University Hospital Zurich, Zurich, Switzerland., Kirschke JS; Department of Diagnostic and Interventional Neuroradiology, School of Medicine and Health, TUM Klinikum Rechts der Isar, Technical University of Munich, Ismaninger Strasse 22, Munich 81675, Germany. |
| Source: | Radiology. Artificial intelligence [Radiol Artif Intell] 2026 May; Vol. 8 (3), pp. e250603. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Radiological Society of North America, Inc Country of Publication: United States NLM ID: 101746556 Publication Model: Print Cited Medium: Internet ISSN: 2638-6100 (Electronic) Linking ISSN: 26386100 NLM ISO Abbreviation: Radiol Artif Intell Subsets: MEDLINE; In Process |
| Database: | MEDLINE Ultimate |
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