Vasily Vakorin, Simon Fraser University

Research

Artificial Intelligence Decision Support System Inter-Rater Variability Machine Learning Routine Clinical Electroencephalography

Latest papers

Interpretable machine learning for precision cognitive aging.
Frontiers in computational neuroscience · 2025
Alterations in Local Connectivity and Their Developmental Trajectories in Autism Spectrum Disorder: Does Being Female Matter?
Cerebral cortex (New York, N.Y. : 1991) · 2020
Idiosyncratic organization of cortical networks in autism spectrum disorder.
NeuroImage · 2019

All 5 publications

Latest funding

CREED: Clinical Reporting of Electroencephalograms Enhanced through Deep Learning
CIHR · 2022 · Nominated PI
$589,050
Cerebro-cerebellar dynamics in human brain health
CIHR · 2021 · Co-investigator
$986,852

All 2 grants and awards

5 publications.

01

Interpretable machine learning for precision cognitive aging.

Mahamadou AJD, Rodrigues EA, Vakorin V, Antoine V, Moreno S

Frontiers in computational neuroscience2025

DOI: 10.3389/fncom.2025.1560064 PMID: 40452951

02

Alterations in Local Connectivity and Their Developmental Trajectories in Autism Spectrum Disorder: Does Being Female Matter?

Kozhemiako N, Nunes AS, Vakorin V, Iarocci G, Ribary U, Doesburg SM

Cerebral cortex (New York, N.Y. : 1991)2020

DOI: 10.1093/cercor/bhaa109 PMID: 32368779

03

Idiosyncratic organization of cortical networks in autism spectrum disorder.

Nunes AS, Peatfield N, Vakorin V, Doesburg SM

NeuroImage2019

DOI: 10.1016/j.neuroimage.2018.01.022 PMID: 29355768

04

Electrophysiology of Inhibitory Control in the Context of Emotion Processing in Children With Autism Spectrum Disorder.

Magnuson JR, Peatfield NA, Fickling SD, Nunes AS, Christie G, Vakorin V, D'Arcy RCN, Ribary U, Iarocci G, Moreno S, Doesburg SM

Frontiers in human neuroscience2019

DOI: 10.3389/fnhum.2019.00078 PMID: 30914937

05

Extreme male developmental trajectories of homotopic brain connectivity in autism.

Kozhemiako N, Vakorin V, Nunes AS, Iarocci G, Ribary U, Doesburg SM

Human brain mapping2019

DOI: 10.1002/hbm.24427 PMID: 30311349

CREED: Clinical Reporting of Electroencephalograms Enhanced through Deep Learning

Nominated PICIHR2022Project Grant

Principal investigators: Vakorin, Vasily

Keywords: Artificial Intelligence; Decision Support System; Inter-Rater Variability; Machine Learning; Routine Clinical Electroencephalography

$589,050

Cerebro-cerebellar dynamics in human brain health

Co-investigatorCIHR2021Project Grant

Principal investigators: Cheung, Teresa; Welsh, John P

Keywords: Associative Learning; Autism Spectrum Disorder (Asd); Cerebro-Cerebellar Circuit; Connectivity; Eyeblink Conditioning (Ebc); Intellectual Ability; Magnetoencephalography (Meg); Motor Ability; Somatomotor Cerebro-Cerebellar Network; Whole-Brain Circuit

$986,852

From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.

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Applying for

Paper to mentionMention their CIHR grant from 2022

Subject: Prospective PhD student: Artificial Intelligence Dear Professor Vakorin, My name is [your name], and I am a [your current degree or role] at [your institution]. I am applying for a PhD position starting in [term and year]. I read your paper "Interpretable machine learning for precision cognitive aging." (2025), and it connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] I also saw your CIHR-funded project "CREED: Clinical Reporting of Electroencephalograms Enhanced through Deep Learning" (2022), and I would be glad to contribute to work in that direction. Are you accepting new PhD students for [term and year]? I have attached my CV and transcripts, and I would be glad to talk at a time that suits you. Thank you for your time. Kind regards, [your name]