Author

Hooman Rokham

Georgia Institute of TechnologyORCID 0000-0002-2650-0156Unclaimed 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:benchmarking· 2 Organism:human· 2 Assay:imaging· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:contrastive learning· 1 Research Focus:differential expression· 1 Approach:statistical model· 1

Frequent Co-Authors

Haleh FalakshahiiD· 2 shared Vince D. CalhouniD· 2 shared Anees AbroliD· 1 shared Godfrey D. PearlsoniD· 1 shared Sergey PlisiD· 1 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 10 mutual co-author links

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2 shared papersNeuroscience

Haleh FalakshahiORCID

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2 papers

Recent·Most cited

NeurosciencebioRxivPreprintSep 29, 2026

Beyond Marginal Coverage: Class-Conditional Conformal Prediction in Multi-Class Psychiatric Neuroimaging

Hooman Rokham, Haleh Falakshahi, Vince D. Calhoun

This paper introduces class-conditional conformal prediction to address uneven coverage in multi-class psychiatric neuroimaging, showing improved coverage consistency across diagnostic classes.

DOI 10.64898/2026.09.23.753958

humanimaging

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NeuroscienceBiological Psychiatry Cognitive Neuroscience and NeuroimagingPeer-reviewedMay 25, 2020

Addressing Inaccurate Nosology in Mental Health: A Multi Label Data Cleansing Approach for Detecting Label Noise from Structural Magnetic Resonance Imaging Data in Mood and Psychosis Disorders

Hooman Rokham, Godfrey D. Pearlson, Anees Abrol…·Vince D. Calhoun

The paper detects and corrects label noise in mental health diagnoses using MRI data from mood and psychosis disorders through a multi-label data cleansing approach.

27 citations

humanimaging

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