Machine learning framework for early MRI-based Alzheimer's conversion prediction in MCI subjects
Tampere University · Université de Toulon · +4 more institutions
Indexed incrossrefdoajpubmed
Abstract
No abstract available for this paper.
Citation impact
720
total citations
- FWCI
- 19.29
- Percentile
- 100%
- References
- 109
Citations per year
Authors
5- EMElaheh Moradi
Tampere University
- APAntonietta Pepe
Université de Toulon, Centre National de la Recherche Scientifique, École Nationale Supérieure d'Architecture Montpellier, Aix-Marseille Université
- CGChristian Gaser
Friedrich Schiller University Jena
- HHHeikki Huttunen
Tampere University
- JTJussi TohkaCorresponding
Tampere University
Topics & keywords
Topics
Keywords
- Biomarker
- Magnetic resonance imaging
- Logistic regression
- Confounding
- Feature selection
- Artificial intelligence
- Random forest
- Machine learning
UN Sustainable Development Goals
- Reduced inequalities
No related works found for this paper.
Funding
- UDU.S. Department of DefenseAward: W81XWH-12-2-0012
- FFFoundation for the National Institutes of HealthAward: U01 AG024904
- AAAlzheimer's Association
- ADAlzheimer's Drug Discovery Foundation
- MMerck
- RRoche
- ADAlzheimer's Disease Neuroimaging Initiative
- TPTakeda Pharmaceutical Company
- AOAcademy of FinlandAwards: 263785, 130275
- IInnogenetics
- NINational Institutes of HealthAward: U01 AG024904
- GGenentech
- GHGE Healthcare
- NINational Institute on Aging
- NINational Institute of Biomedical Imaging and Bioengineering
- JAJohnson and Johnson Pharmaceutical Research and Development
- JAJanssen Alzheimer Immunotherapy Research And Development