Hooman Rokham

According to our database, Hooman Rokham authored at least 9 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Data driven approaches to address inaccurate nosology in mental health from neuroimaging data.

Hooman Rokham

PhD thesis, 2024

2023

A Deep Learning Approach for Psychosis Spectrum Label Noise Detection from Multimodal Neuroimaging Data.

Hooman Rokham, Haleh Falakshahi, Vince D. Calhoun

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Network Differential in Gaussian Graphical Models from Multimodal Neuroimaging Data.

Haleh Falakshahi, Hooman Rokham, Robyn L. Miller, Jean Liu, Vince D. Calhoun

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022

Relationship of Hemodynamic Delay and Sex Differences Among Adolescents Using Resting-state fMRI Data.

Hooman Rokham, Haleh Falakshahi, Vince D. Calhoun

Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022

2020

Meta-Modal Information Flow: A Method for Capturing Multimodal Modular Disconnectivity in Schizophrenia.

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

IEEE Trans. Biomed. Eng., 2020

A data-driven approach for stratifying psychotic and mood disorders subjects using structural magnitude resonance imaging data.

Hooman Rokham, Haleh Falakshahi, Vince D. Calhoun

Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

Time-varying Graphs: A Method to Identify Abnormal Integration and Disconnection in Functional Brain Connectivity with Application to Schizophrenia.

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

Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020

2019

Diagnostic and Prognostic Classification of Brain Disorders Using Residual Learning on Structural MRI Data.

Anees Abrol, Hooman Rokham, Vince D. Calhoun

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018

FAROS: Illuminating In-memory Injection Attacks via Provenance-Based Whole-System Dynamic Information Flow Tracking.

Meisam Navaki Arefi, Geoffrey Alexander, Hooman Rokham, Aokun Chen, Michalis Faloutsos, Xuetao Wei, Daniela Seabra Oliveira, Jedidiah R. Crandall

Proceedings of the 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2018