Author

Rutvik Deshpande

Rutgers, The State University of New Jersey

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Neuroscience· 1

Signature Assays, Organisms & Methods

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Organism:human· 1 Assay:imaging· 1 Research Focus:imputation· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Abolfazl SaghafiiD· 1 shared Bernadette A. FaustoiD· 1 shared Fanny M. ElahiiD· 1 shared Jose M. Perez· 1 shared Mark A. GluckiD· 1 shared Miray BudakiD· 1 shared Soodeh MoallemianiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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1 shared paperNeuroscience

Abolfazl SaghafiORCID

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1 paper

Recent·Most cited

MACHINE LEARNING FOR MISSING DATA IMPUTATION IN ALZHEIMER'S RESEARCH: PREDICTING MEDIAL TEMPORAL LOBE FLEXIBILITY

Soodeh Moallemian, Abolfazl Saghafi, Rutvik Deshpande, Jose M. Perez, Miray Budak, Bernadette A. Fausto, Fanny M. Elahi, Mark A. Gluck

This paper uses machine learning to impute missing data in Alzheimer's research, finding that MissForest with Random Forest improves predictions of MTL flexibility.

Cognitive Neurodynamics · Feb 10, 2026Peer-reviewedNeuroscience