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Neurology|April 6, 2018
Automated DWI analysis can identify patients within the thrombolysis time window of 4.5 hoursAnke Wouters, Bastian Cheng, Soren Christensen, et al.European Journal of Nuclear Medicine and Molecular Imaging|April 22, 2020
Whole liver segmentation based on deep learning and manual adjustment for clinical use in SIRTXikai Tang, Esmaeel Jafargholi Rangraz, Walter Coudyzer, et al.Medical Image Analysis|November 5, 2019
Prediction of final infarct volume from native CT perfusion and treatment parameters using deep learningDavid Robben, Anna M M Boers, Henk A Marquering, et al.Stroke|September 30, 2021
Prediction of Stroke Infarct Growth Rates by Baseline Perfusion ImagingAnke Wouters, David Robben, Soren Christensen, et al.Radiology. Artificial Intelligence|April 22, 2026
The ISLES'24 Dataset: A Multimodal Stroke Imaging Dataset with Hyperacute CT, Acute Postinterventional MRI, and 3-month Clinical OutcomesEvamaria Olga Riedel, Ezequiel de la Rosa, The Anh Baran, et al.Scientific Data|December 10, 2022
ISLES 2022: A multi-center magnetic resonance imaging stroke lesion segmentation datasetMoritz R Hernandez Petzsche, Ezequiel de la Rosa, Uta Hanning, et al.Frontiers in Neurology|October 2, 2018
ISLES 2016 and 2017-Benchmarking Ischemic Stroke Lesion Outcome Prediction Based on Multispectral MRIStefan Winzeck, Arsany Hakim, Richard McKinley, et al.Medical Image Analysis|August 1, 2016
ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRIOskar Maier, Bjoern H Menze, Janina von der Gablentz, et al.Nature Communications|August 9, 2025
DeepISLES: a clinically validated ischemic stroke segmentation model from the ISLES'22 challengeEzequiel de la Rosa, Mauricio Reyes, Sook-Lei Liew, et al.Pageof 2