publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2023

  1. A Deep Learning Approach for Psychosis Spectrum Label Noise Detection from Multimodal Neuroimaging Data
    Hooman Rokham, Haleh Falakshahi, and Vince D Calhoun
    In 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2023
  2. Network Differential in Gaussian Graphical Models from Multimodal Neuroimaging Data
    Haleh Falakshahi, Hooman Rokham, Robyn Miller, and 2 more authors
    In 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2023
  3. Evaluation of boundaries between mood and psychosis disorder using dynamic functional network connectivity (dFNC) via deep learning classification
    Hooman Rokham, Haleh Falakshahi, Zening Fu, and 2 more authors
    Human Brain Mapping, 2023

2022

  1. Relationship of Hemodynamic Delay and Sex Differences Among Adolescents Using Resting-state fMRI Data
    Hooman Rokham, Haleh Falakshahi, and Vince Calhoun
    In 2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), 2022
  2. Path analysis: A method to estimate altered pathways in time-varying graphs of neuroimaging data
    Haleh Falakshahi, Hooman Rokham, Zening Fu, and 8 more authors
    Network Neuroscience, 2022

2020

  1. 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, and 8 more authors
    In 2020 IEEE 20th international conference on bioinformatics and bioengineering (BIBE), 2020
  2. Addressing inaccurate nosology in mental health: A multilabel data cleansing approach for detecting label noise from structural magnetic resonance imaging data in mood and psychosis disorders
    Hooman Rokham, Godfrey Pearlson, Anees Abrol, and 3 more authors
    Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 2020
  3. A data-driven approach for stratifying psychotic and mood disorders subjects using structural magnitude resonance imaging data
    Hooman Rokham, Haleh Falakshahi, and Vince D Calhoun
    In Medical Imaging 2020: Computer-Aided Diagnosis, 2020
  4. Meta-modal information flow: A method for capturing multimodal modular disconnectivity in schizophrenia
    Haleh Falakshahi, Victor M Vergara, Jingyu Liu, and 8 more authors
    IEEE Transactions on Biomedical Engineering, 2020

2019

  1. Diagnostic and prognostic classification of brain disorders using residual learning on structural mri data
    Anees Abrol, Hooman Rokham, and Vince D Calhoun
    In 2019 41st annual international conference of the IEEE engineering in medicine and biology society (EMBC), 2019

2018

  1. Faros: Illuminating in-memory injection attacks via provenance-based whole-system dynamic information flow tracking
    Meisam Navaki Arefi, Geoffrey Alexander, Hooman Rokham, and 5 more authors
    In 2018 48th annual IEEE/IFIP international conference on dependable systems and networks (DSN), 2018