EEG-based schizophrenia detection using handcrafted biomarkers and a TOA-optimized hybrid multi-branch CNN-Transformer framework.

Saved in:
Bibliographic Details
Title: EEG-based schizophrenia detection using handcrafted biomarkers and a TOA-optimized hybrid multi-branch CNN-Transformer framework.
Authors: Rezaee K; Department of Biomedical Engineering, Meybod University, Meybod, Iran. Electronic address: kh.rezaee@meybod.ac.ir., Dehghanpour M; Faculty of Computer Engineering, Shahrood University of Technology, Shahrood, Iran., Saberi Anari M; Department of Computer Engineering, Technical and Vocational University (TVU), Tehran, Iran. Electronic address: saberi-m@tvu.ac.ir.
Source: Brain research bulletin [Brain Res Bull] 2026 Jun 15; Vol. 240, pp. 111897. Date of Electronic Publication: 2026 Apr 24.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Science Country of Publication: United States NLM ID: 7605818 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-2747 (Electronic) Linking ISSN: 03619230 NLM ISO Abbreviation: Brain Res Bull Subsets: MEDLINE
Database: MEDLINE Ultimate
Be the first to leave a comment!
You must be logged in first