Publications by authors named "Yeganeh Modaresnia"

Article Synopsis
  • Early diagnosis of autism spectrum disorder (ASD) is critical for patient rehabilitation, requiring advanced pattern recognition and modeling techniques.
  • The study utilizes scalogram images from electroencephalography signals combined with a two-level deep learning architecture to enhance classification accuracy.
  • Results from testing on a dataset of 34 ASD samples and 11 normal cases show high detection performance, achieving 99.50% accuracy with voice and 98.43% without, indicating the method's effectiveness and the influence of auditory factors on diagnosis.
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Article Synopsis
  • * The study uses brain connectivity measurements and six classifiers to differentiate between children with ADHD and those without, achieving an impressive accuracy of 99.174%.
  • * Two potential biomarkers related to brain connectivity patterns are proposed, with statistical validation indicating their significant difference, highlighting their promise for improving ADHD diagnosis and intervention strategies.
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