Author

Bhaskar Ray

Georgia Institute of TechnologyORCID 0009-0003-2818-6759Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 2 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:benchmarking· 2 Approach:machine learning (classical)· 2 Approach:experimental assay· 1 Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1 Assay:imaging· 1 Assay:multiome· 1

Frequent Co-Authors

Jingyu LiuiD· 3 shared Vince D. CalhouniD· 3 shared Bishal ThapaliyaiD· 2 shared Britny Farahdel· 2 shared Jiayu CheniD· 2 shared Pranav SureshiD· 2 shared Anand D. SarwateiD· 1 shared Bharath HollaiD· 1 shared

Activity by Year

2022-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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3 shared papersNeuroscience

Jingyu LiuORCID

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3 papers

Recent·Most cited

NeuroscienceIEEE International Symposium on Biomedical Imaging (ISBI)Peer-reviewedMay 27, 2024

Replication and Refinement of Brain Age Model for adolescent development.

Bhaskar Ray, Jiayu Chen, Zening Fu…·Jingyu Liu

This paper refines a brain age model for adolescents, improving prediction accuracy and showing associations between brain age gap and cognitive abilities.

10 citationstop 2%

humanimaging

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Genetic & Genomic MedicineFrontiers in PsychiatryPeer-reviewedMay 17, 2024

Cross-continental environmental and genome-wide association study on children and adolescent anxiety and depression

Bishal Thapaliya, Bhaskar Ray, Britny Farahdel…·Jingyu Liu

This study investigates environmental and genetic factors influencing anxiety and depression in children and adolescents across three cohorts, identifying significant environmental impacts and a novel SNP associated with the disorders.

15 citations

humanGWAS summary statistics

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NeuroscienceNeuroinformaticsPeer-reviewedApr 5, 2022

Decentralized Brain Age Estimation using MRI Data

Sunitha Basodi, Rajikha Raja, Bhaskar Ray…·Vince D. Calhoun

This work proposes a decentralized method for brain age estimation using MRI data and shows it achieves similar performance to centralized models.

10 citations

humanmultiome

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