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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
doi: https://doi.org/10.1101/2022.12.14.520239

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doi 
https://doi.org/10.1101/2022.12.14.520239
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  • October 16, 2023.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.

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  1. Muhammad Febrian Rachmadi1,2,*,**,
  2. Maria del C. Valdés-Hernández3,*,
  3. Stephen Makin4,
  4. Joanna Wardlaw3 and
  5. Henrik Skibbe1
  1. 1RIKEN Center for Brain Science, Brain Image Analysis Unit, Wako-shi, 351-0106, Japan
  2. 2Universitas Indonesia, Faculty of Computer Science, Depok, 16424, Indonesia
  3. 3University of Edinburgh, Centre for Clinical Brain Sciences, Edinburgh, EH16 4SB, United Kingdom
  4. 4University of Aberdeen, Centre for Rural Health, Inverness, IV2 3JH, United Kingdom
  1. ↵** Corresponding author; email: febrian.rachmadi{at}gmail.com
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Posted October 16, 2023.
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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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