Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

Automatic Spatial Estimation of White Matter Hyperintensities Evolution in Brain MRI using Disease Evolution Predictor Deep Neural Networks

View ORCID ProfileMuhammad Febrian Rachmadi, View ORCID ProfileMaria del C. Valdés-Hernández, Stephen Makin, View ORCID ProfileJoanna Wardlaw, Taku Komura
doi: https://doi.org/10.1101/738641
Muhammad Febrian Rachmadi
aSchool of Informatics, University of Edinburgh, Edinburgh, UK
bCentre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Muhammad Febrian Rachmadi
  • For correspondence: febrian.rachmadi@ed.ac.uk
Maria del C. Valdés-Hernández
bCentre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Maria del C. Valdés-Hernández
Stephen Makin
bCentre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Joanna Wardlaw
bCentre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Joanna Wardlaw
Taku Komura
aSchool of Informatics, University of Edinburgh, Edinburgh, UK
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Data/Code
  • Preview PDF
Loading
  • https://github.com/febrianrachmadi/dep-gan-im

Back to top
PreviousNext
Posted April 21, 2020.
Download PDF
Data/Code
Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
Automatic Spatial Estimation of White Matter Hyperintensities Evolution in Brain MRI using Disease Evolution Predictor Deep Neural Networks
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
Automatic Spatial Estimation of White Matter Hyperintensities Evolution in Brain MRI using Disease Evolution Predictor Deep Neural Networks
Muhammad Febrian Rachmadi, Maria del C. Valdés-Hernández, Stephen Makin, Joanna Wardlaw, Taku Komura
bioRxiv 738641; doi: https://doi.org/10.1101/738641
Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo
Citation Tools
Automatic Spatial Estimation of White Matter Hyperintensities Evolution in Brain MRI using Disease Evolution Predictor Deep Neural Networks
Muhammad Febrian Rachmadi, Maria del C. Valdés-Hernández, Stephen Makin, Joanna Wardlaw, Taku Komura
bioRxiv 738641; doi: https://doi.org/10.1101/738641

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Neuroscience
Subject Areas
All Articles
  • Animal Behavior and Cognition (2516)
  • Biochemistry (4961)
  • Bioengineering (3462)
  • Bioinformatics (15165)
  • Biophysics (6878)
  • Cancer Biology (5374)
  • Cell Biology (7699)
  • Clinical Trials (138)
  • Developmental Biology (4514)
  • Ecology (7127)
  • Epidemiology (2059)
  • Evolutionary Biology (10204)
  • Genetics (7495)
  • Genomics (9762)
  • Immunology (4815)
  • Microbiology (13167)
  • Molecular Biology (5124)
  • Neuroscience (29342)
  • Paleontology (203)
  • Pathology (834)
  • Pharmacology and Toxicology (1460)
  • Physiology (2126)
  • Plant Biology (4728)
  • Scientific Communication and Education (1008)
  • Synthetic Biology (1337)
  • Systems Biology (4001)
  • Zoology (768)