Research output

MRI predictors of amyloid pathology: results from the EMIF-AD Multimodal Biomarker Discovery study

Research output: Contribution to journalArticleAcademicpeer-review

Associated researcher

  • ten Kate, M.
  • Redolfi, A.
  • Peira, E.
  • Vandenberghe, R.
  • Gabel, S.
  • Schaeverbeke, J.
  • Scheltens, P.
  • Blin, O.
  • Richardson, J. C.
  • Bordet, R.
  • Wallin, A.
  • Eckerstrom, C.
  • Molinuevo, J. L.
  • Engelborghs, S.
  • Van Broeckhoven, C.
  • Martinez-Lage, P.
  • Popp, J.
  • Tsolaki, M.
  • Baird, A. L.
  • Legido-Quigley, C.
  • Bertram, L.
  • Dobricic, V.
  • Zetterberg, H.
  • Lovestone, S.
  • Streffer, J.
  • Bianchetti, S.
  • Novak, G. P.
  • Revillard, J.
  • Gordon, M. F.
  • Xie, Z.
  • Wottschel, V.
  • Frisoni, G.
  • Barkhof, F.

Associated organisations

    Research areas

  • Alzheimer's disease, Mild cognitive impairment, Biomarkers, Magnetic resonance imaging, Amyloid, Machine learning, Support vector machine, European Medical Information Framework for Alzheimer's Disease, MILD COGNITIVE IMPAIRMENT, ALZHEIMERS-DISEASE, BETA DEPOSITION, SELECTION BIAS, DEMENTIA, ATROPHY, PREVENTION, MACHINE, DECLINE, PROJECT
View graph of relations

Details

Original languageEnglish
Article number100
Number of pages12
JournalAlzheimer's Research & Therapy
Volume10
DOIs
Publication statusPublished - 27 Sep 2018