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Prediction of white matter hyperintensities evolution one-year post-stroke from a single-point brain MRI and stroke lesions information
View ORCID ProfileMuhammad Febrian Rachmadi, View ORCID ProfileMaria del C. Valdés-Hernández, View ORCID ProfileStephen Makin, View ORCID ProfileJoanna Wardlaw, View ORCID ProfileHenrik Skibbe
doi: https://doi.org/10.1101/2022.12.14.520239
Muhammad Febrian Rachmadi
1RIKEN Center for Brain Science, Brain Image Analysis Unit, Wako-shi, 351-0106, Japan
2Universitas Indonesia, Faculty of Computer Science, Depok, 16424, Indonesia
Maria del C. Valdés-Hernández
3University of Edinburgh, Centre for Clinical Brain Sciences, Edinburgh, EH16 4SB, United Kingdom
Stephen Makin
4University of Aberdeen, Centre for Rural Health, Inverness, IV2 3JH, United Kingdom
Joanna Wardlaw
3University of Edinburgh, Centre for Clinical Brain Sciences, Edinburgh, EH16 4SB, United Kingdom
Henrik Skibbe
1RIKEN Center for Brain Science, Brain Image Analysis Unit, Wako-shi, 351-0106, Japan
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Posted October 16, 2023.
Prediction of white matter hyperintensities evolution one-year post-stroke from a single-point brain MRI and stroke lesions information
Muhammad Febrian Rachmadi, Maria del C. Valdés-Hernández, Stephen Makin, Joanna Wardlaw, Henrik Skibbe
bioRxiv 2022.12.14.520239; doi: https://doi.org/10.1101/2022.12.14.520239
Prediction of white matter hyperintensities evolution one-year post-stroke from a single-point brain MRI and stroke lesions information
Muhammad Febrian Rachmadi, Maria del C. Valdés-Hernández, Stephen Makin, Joanna Wardlaw, Henrik Skibbe
bioRxiv 2022.12.14.520239; doi: https://doi.org/10.1101/2022.12.14.520239
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