Author

Maryam Akhavan Aghdam

Florida International UniversityORCID 0009-0008-4594-9523Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:human· 1 Assay:imaging· 1 Assay:multiome· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Alzheimer’s Disease Neuroimaging Initiative· 1 shared Fahad SaeediD· 1 shared Serdar BozdagiD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperBioinformatics

Alzheimer’s Disease Neuroimaging Initiative

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1 paper

Recent·Most cited

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

PVTAD: ALZHEIMERS DISEASE DIAGNOSIS USING PYRAMID VISION TRANSFORMER APPLIED TO WHITE MATTER OF T1-WEIGHTED STRUCTURAL MRI DATA

Maryam Akhavan Aghdam, Serdar Bozdag, Fahad Saeed, Alzheimer’s Disease Neuroimaging Initiative

PVTAD classifies Alzheimer's disease and cognitively normal cases using a pyramid vision transformer on white matter MRI data, achieving 97.7% accuracy.

11 citationstop 1%

humanmultiome

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