A diagnostic unified classification model for classifying multi-sized and multi-modal brain graphs using graph alignment

Yalcin A., Rekık I.

JOURNAL OF NEUROSCIENCE METHODS, cilt.348, 2021 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 348
  • Basım Tarihi: 2021
  • Doi Numarası: 10.1016/j.jneumeth.2020.109014
  • Dergi Adı: JOURNAL OF NEUROSCIENCE METHODS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, BIOSIS, Biotechnology Research Abstracts, CAB Abstracts, EMBASE, MEDLINE, Veterinary Science Database
  • İstanbul Teknik Üniversitesi Adresli: Evet

Özet

Background: Presence of multimodal brain graphs derived from different neuroimaging modalities is inarguably one of the most critical challenges in building unified classification models that can be trained and tested on any brain graph regardless of its size and the modality it was derived from.