Author

Reihaneh Hassanzadeh

Georgia Institute of TechnologyORCID 0000-0001-8022-8619Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Approach:deep learning· 2 Organism:human· 2 Assay:imaging· 2 Research Focus:clustering· 1 Research Focus:differential expression· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Anees AbroliD· 2 shared Vince D. CalhouniD· 2 shared Anna Katharina BonkhoffiD· 1 shared Bradley T. BakeriD· 1 shared Eswar DamarajuiD· 1 shared Godfrey D. PearlsoniD· 1 shared Jessica A. TurneriD· 1 shared Mustafa S. SalmaniD· 1 shared

Activity by Year

2022-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersNeuroscience

Anees AbrolORCID

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2 papers

Recent·Most cited

NeurosciencePLoS ONEPeer-reviewedMay 20, 2024

A Confounder Controlled Machine Learning Approach: Group Analysis and Classification of Schizophrenia and Alzheimer's Disease using Resting-State Functional Network Connectivity

Reihaneh Hassanzadeh, Anees Abrol, Godfrey D. Pearlson…·Vince D. Calhoun

This study compares AD and SZ using rs-FNC with confounder control and machine learning, finding shared and distinct functional abnormalities and classification accuracies of 85% and 68%.

2 citations

humanimaging

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NeurosciencePLoS ONEPeer-reviewedJan 21, 2022

Individualized Spatial Network Predictions Using Siamese Convolutional Neural Networks: A Resting-State fMRI Study of over 11,000 Unaffected Individuals

Reihaneh Hassanzadeh, Rogers F. Silva, Anees Abrol…·Vince D. Calhoun

This study uses a Siamese CNN framework to predict individual identity from resting-state fMRI data, achieving 88% accuracy in subject discrimination using spatial network pairs.

4 citations

humanimaging

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