Applying Automated MR-Based Diagnostic Methods to the Memory Clinic: A Prospective Study

Erstveröffentlichung
2015
Metadata only
Search for full text
Wissenschaftlicher Artikel


Authors
Kloeppel, Stefan
Peter, Jessica
Ludl, Anna
Pilatus, Anne
Maier, Sabrina
et al.
Institutions
UKU. Klinik für Neurologie
Konsortium zur Erforschung der frontotemporalen Lobärdegeneration (FTLD)
Published in
Journal of Alzheimer's Disease ; 47 (2015), 4. - S. 939-954. - ISSN 1387-2877. - eISSN 1875-8908
Link to publication
https://dx.doi.org/10.3233/JAD-150334
Funding information
Deutsche Forschungsgemeinschaft (DFG) [KL 2415/2-1]
Federal Ministry for Economic Affairs and Energy [KF3223201LW3]
German Consortium for Frontotemporal Lobar Degeneration - German Federal Ministry of Education and Research
Parkinson's disease Foundation [PDF-IRG-1307]
Alzheimer's Disease Neuroimaging Initiative (ADNI) (National Institutes of Health) [U01 AG024904]
etc.
Keywords
Dementia diagnostics; machine learning; magnetic resonance imaging; prognosis; support vector machine; MILD COGNITIVE IMPAIRMENT; DIMENSIONAL PATTERN-CLASSIFICATION; ALZHEIMERS ASSOCIATION WORKGROUPS; NEUROIMAGING INITIATIVE ADNI; WHITE-MATTER LESIONS; BRAIN ATROPHY; LEWY BODIES; NATIONAL INSTITUTE; STRUCTURAL MRI; MCI PATIENTS
Dewey Decimal Group
DDC 610 / Medicine & health
Metadata
Show full item record