Hooman Rokham

12 papers A 1C 1Journal 2Unranked 7
YearRankTypeTitle / Venue / Authors
2024 — —
Data driven approaches to address inaccurate nosology in mental health from neuroimaging data.
Hooman Rokham
2024 — conf
Label Noise-Robust Ensemble Deep Multimodal Framework For Neuroimaging Data.
EMBC
Hooman Rokham, Haleh Falakshahi, Vince D. Calhoun
2024 — conf
Path-based Differential Analysis in Near-centenarians and Centenarians Brain Network.
EMBC
Haleh Falakshahi, Hooman Rokham, Vince D. Calhoun
2023 — conf
A Deep Learning Approach for Psychosis Spectrum Label Noise Detection from Multimodal Neuroimaging Data.
EMBC
Hooman Rokham, Haleh Falakshahi, Vince D. Calhoun
2023 — conf
Network Differential in Gaussian Graphical Models from Multimodal Neuroimaging Data.
EMBC
Haleh Falakshahi, Hooman Rokham, Robyn L. Miller, Jean Liu, Vince D. Calhoun
2022 — conf
Relationship of Hemodynamic Delay and Sex Differences Among Adolescents Using Resting-state fMRI Data.
BHI
Hooman Rokham, Haleh Falakshahi, Vince D. Calhoun
2020 — conf
A data-driven approach for stratifying psychotic and mood disorders subjects using structural magnitude resonance imaging data.
Computer-Aided Diagnosis
Hooman Rokham, Haleh Falakshahi, Vince D. Calhoun
2020 J jnl
Meta-Modal Information Flow: A Method for Capturing Multimodal Modular Disconnectivity in Schizophrenia.
IEEE Trans. Biomed. Eng.
Haleh Falakshahi, Victor M. Vergara, Jingyu Liu, Daniel H. Mathalon, Judith M. Ford, James Voyvodic, Bryon A. Mueller, Aysenil Belger, Sarah C. McEwen, Steven G. Potkin, Adrian Preda, Hooman Rokham, Jing Sui, Jessica A. Turner, Sergey M. Plis, Vince D. Calhoun
2020 J jnl
Meta-modal Information Flow: A Method for Capturing Multimodal Modular Disconnectivity in Schizophrenia.
CoRR
Haleh Falakshahi, Victor M. Vergara, Jingyu Liu, Daniel H. Mathalon, Judith M. Ford, James Voyvodic, Bryon A. Mueller, Aysenil Belger, Sarah C. McEwen, Steven G. Potkin, Adrian Preda, Hooman Rokham, Jing Sui, Jessica A. Turner, Sergey M. Plis, Vince D. Calhoun
2020 C conf
Time-varying Graphs: A Method to Identify Abnormal Integration and Disconnection in Functional Brain Connectivity with Application to Schizophrenia.
BIBE
Haleh Falakshahi, Hooman Rokham, Zening Fu, Daniel H. Mathalon, Judith M. Ford, James Voyvodic, Bryon A. Mueller, Aysenil Belger, Sarah C. McEwen, Steven G. Potkin, Adrian Preda, Armin Iraji, Jessica A. Turner, Sergey M. Plis, Vince D. Calhoun
2019 — conf
Diagnostic and Prognostic Classification of Brain Disorders Using Residual Learning on Structural MRI Data.
EMBC
Anees Abrol, Hooman Rokham, Vince D. Calhoun
2018 A conf
FAROS: Illuminating In-memory Injection Attacks via Provenance-Based Whole-System Dynamic Information Flow Tracking.
DSN
Meisam Navaki Arefi, Geoffrey Alexander, Hooman Rokham, Aokun Chen, Michalis Faloutsos, Xuetao Wei, Daniela Seabra Oliveira, Jedidiah R. Crandall