Multi-view united transformer block of graph attention network based autism spectrum disorder recognition

Moreover, the proposed MVUT_GAT's which patches the distance between the models of deep learning and medical visions by helping to identify biomarkers linked to ASD. In the end, this effort advances the knowledge of recognizing autism spectrum disorder along with the powerful ability to enhance results and the value of people who are undergone.

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Publication Details

Journal
Frontiers in Psychiatry
Published
2025-02-20
DOI
https://doi.org/10.3389/fpsyt.2025.1485286
Citations
1
Primary Topic
Autism Spectrum Disorder Research
Type
article
Field-Weighted Citation Impact
1.43
Controls
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article

Multi-view united transformer block of graph attention network based autism spectrum disorder recognition

J. Daphy Louis Lovenia, D. Darling Jemima, A. Grace Selvarani
1 citations
Frontiers in Psychiatry
Autism Spectrum Disorder Research
1.43
article

Multi-view united transformer block of graph attention network based autism spectrum disorder recognition

J. Daphy Louis Lovenia, D. Darling Jemima, A. Grace Selvarani
article en
1 citations

Abstract

Moreover, the proposed MVUT_GAT's which patches the distance between the models of deep learning and medical visions by helping to identify biomarkers linked to ASD. In the end, this effort advances the knowledge of recognizing autism spectrum disorder along with the powerful ability to enhance results and the value of people who are undergone.

Frontiers in PsychiatryVol. 16
Karunya University (IN)
Openalex Percentile: Top 22%
Autism Spectrum Disorder Research
1.43
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Multi-view united transformer block of graph attention network based autism spectrum disorder recognition — J. Daphy Louis Lovenia, D. Darling Jemima, et al. · Frontiers in Psychiatry (2025) | TGRS Research Map | TGRS