1. Repository of OAI
  2. ΑΠΟΘΕΤΗΡΙΟ "ΟΛΥΜΠΙΑΣ"
  3. Σχολή Επιστημών Υγείας
  4. Τμήμα Ιατρικής
  5. Άρθρα σε επιστημονικά περιοδικά ( Ανοικτά) - ΙΑΤ
Ελληνικά   English  
Please use this identifier to cite or link to this item: https://olympias.lib.uoi.gr/jspui/handle/123456789/24195
Full metadata record
DC FieldValueLanguage
dc.contributor.authorTripoliti, E. E.en
dc.contributor.authorFotiadis, D. I.en
dc.contributor.authorArgyropoulou, M.en
dc.date.accessioned2015-11-24T19:38:55Z-
dc.date.available2015-11-24T19:38:55Z-
dc.identifier.issn1557-170X-
dc.identifier.urihttps://olympias.lib.uoi.gr/jspui/handle/123456789/24195-
dc.rightsDefault Licence-
dc.subjectAdolescenten
dc.subjectAdulten
dc.subject*Algorithmsen
dc.subjectAlzheimer Disease/*diagnosisen
dc.subject*Artificial Intelligenceen
dc.subjectBrain Mappingen
dc.subjectFemaleen
dc.subjectHumansen
dc.subjectImage Enhancement/methodsen
dc.subjectImage Interpretation, Computer-Assisted/*methodsen
dc.subjectMagnetic Resonance Imaging/*methodsen
dc.subjectMaleen
dc.subjectPattern Recognition, Automated/*methodsen
dc.subjectReproducibility of Resultsen
dc.subjectSensitivity and Specificityen
dc.titleA supervised method to assist the diagnosis of Alzheimer's disease based on functional magnetic resonance imagingen
heal.typejournalArticle-
heal.type.enJournal articleen
heal.type.elΆρθρο Περιοδικούel
heal.identifier.primary10.1109/IEMBS.2007.4353067-
heal.identifier.secondaryhttp://www.ncbi.nlm.nih.gov/pubmed/18002733-
heal.identifier.secondaryhttp://ieeexplore.ieee.org/ielx5/4352184/4352185/04353067.pdf?tp=&arnumber=4353067&isnumber=4352185-
heal.languageen-
heal.accesscampus-
heal.recordProviderΠανεπιστήμιο Ιωαννίνων. Σχολή Επιστημών Υγείας. Τμήμα Ιατρικήςel
heal.publicationDate2007-
heal.abstractIn this work we present a supervised method to assist the diagnosis of Alzheimer's disease (AD) based on functional magnetic resonance images (fMRI). The method consists of five stages: a) preprocessing of fMRI data to remove non-task related variability, b) modeling the way in which the BOLD response depends on stimulus, c) feature extraction from fMRI data, d) feature selection and e) classification using the Random Forests algorithm. The proposed method is evaluated using data from 41 subjects (14 young adults, 14 non demented older adults and 13 demented older adults.en
heal.journalNameConf Proc IEEE Eng Med Biol Socen
heal.journalTypepeer-reviewed-
heal.fullTextAvailabilityTRUE-
Appears in Collections:Άρθρα σε επιστημονικά περιοδικά ( Ανοικτά) - ΙΑΤ

Show simple item record
Files in This Item:
File Description SizeFormat 
Tripoliti-2007-A supervised method.pdf228.3 kBAdobe PDFView/Open    Request a copy
Show simple item record  


This item is licensed under a Creative Commons License Creative Commons