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Hooman Rokham
Hooman Rokham
Postdoctoral Research Associate, TReNDS Center {GSU; Georgia Tech; Emory}
Verified email at gatech.edu
Title
Cited by
Cited by
Year
Addressing inaccurate nosology in mental health: A multilabel data cleansing approach for detecting label noise from structural magnetic resonance imaging data in mood and …
H Rokham, G Pearlson, A Abrol, H Falakshahi, S Plis, VD Calhoun
Biological Psychiatry: Cognitive Neuroscience and Neuroimaging 5 (8), 819-832, 2020
202020
Diagnostic and Prognostic Classification of Brain Disorders Using Residual Learning on Structural MRI Data
A Abrol, H Rokham, VD Calhoun
41st Annual International Conference of the IEEE Engineering in Medicine …, 2019
132019
Meta-modal information flow: A method for capturing multimodal modular disconnectivity in schizophrenia
H Falakshahi, VM Vergara, J Liu, DH Mathalon, JM Ford, J Voyvodic, ...
IEEE Transactions on Biomedical Engineering 67 (9), 2572-2584, 2020
122020
Faros: Illuminating in-memory injection attacks via provenance-based whole-system dynamic information flow tracking
MN Arefi, G Alexander, H Rokham, A Chen, M Faloutsos, X Wei, ...
2018 48th annual IEEE/IFIP international conference on dependable systems …, 2018
122018
Path analysis: A method to estimate altered pathways in time-varying graphs of neuroimaging data
H Falakshahi, H Rokham, Z Fu, A Iraji, DH Mathalon, JM Ford, BA Mueller, ...
Network Neuroscience 6 (3), 634-664, 2022
42022
Time-varying graphs: A method to identify abnormal integration and disconnection in functional brain connectivity with application to schizophrenia
H Falakshahi, H Rokham, Z Fu, DH Mathalon, JM Ford, J Voyvodic, ...
2020 IEEE 20th international conference on bioinformatics and bioengineering …, 2020
42020
A data-driven approach for stratifying psychotic and mood disorders subjects using structural magnitude resonance imaging data
H Rokham, H Falakshahi, VD Calhoun
Medical Imaging 2020: Computer-Aided Diagnosis 11314, 667-676, 2020
32020
A Deep Learning Approach for Psychosis Spectrum Label Noise Detection from Multimodal Neuroimaging Data
H Rokham, H Falakshahi, VD Calhoun
2023 45th Annual International Conference of the IEEE Engineering in …, 2023
2023
Network Differential in Gaussian Graphical Models from Multimodal Neuroimaging Data*
H Falakshahi, H Rokham, R Miller, J Liu, VD Calhoun
2023 45th Annual International Conference of the IEEE Engineering in …, 2023
2023
Evaluation of boundaries between mood and psychosis disorder using dynamic functional network connectivity (dFNC) via deep learning classification
H Rokham, H Falakshahi, Z Fu, G Pearlson, VD Calhoun
Human Brain Mapping 44 (8), 3180-3195, 2023
2023
543. MultiModal Framework for Mental Disorders Classification
H Rokham, H Falakshahi, V Calhoun
Biological Psychiatry 93 (9), S313-S314, 2023
2023
Relationship of Hemodynamic Delay and Sex Differences Among Adolescents Using Resting-state fMRI Data
H Rokham, H Falakshahi, V Calhoun
2022 IEEE-EMBS International Conference on Biomedical and Health Informatics …, 2022
2022
P592. Path-Based Differential in Multi-Modal Brain Networks
H Falakshahi, H Rokham, V Calhoun
Biological Psychiatry 91 (9), S329, 2022
2022
P569. Multimodal Classification of Mood and Mental Disorders
H Rokham, H Falakshahi, V Calhoun
Biological Psychiatry 91 (9), S319, 2022
2022
Classification of Dynamic Resting fMRI Connectivity of Mood and Mental Disorders Using Different Categorization
H Rokham, V Calhoun
Biological Psychiatry 89 (9), S326-S327, 2021
2021
Dynamic Brain Graph Analysis Show Unique Path Trajectory Weights in Schizophrenia
H Falakshahi, H Rokham, V Calhoun
Biological Psychiatry 89 (9), S234-S235, 2021
2021
Dynamic Resting fMRI Connectivity Across the Psychosis Spectrum
V Calhoun, H Rokham
NEUROPSYCHOPHARMACOLOGY 45 (SUPPL 1), 129-129, 2020
2020
A Method for Analyzing Abnormal Integration Between the Brain Regions in Schizophrenia
H Falakshahi, H Rokham, V Vergara, S Plis, V Calhoun
Biological Psychiatry 87 (9), S136, 2020
2020
Detecting Label Noise from Multi-site Structural Magnetic Resonance Imaging Data to Mitigate Inaccurate Nosology in Mental Health
H Rokham, H Falakshahi, S Plis, V Calhoun
Biological Psychiatry 87 (9), S269, 2020
2020
Web Users Clustering Analysis
H Rokham, H Falakshahi
International Journal of Computer Science and Information Security (IJCSIS …, 2014
2014
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