publications

Selected published articles

2023

  1. BaseModel.jpg
    A deep residual model for characterization of 5D spatiotemporal network dynamics reveals widespread spatiodynamic changes in schizophrenia
    Behnam Kazemivash, Theo GM Erp, Peter Kochunov, and 1 more author
    Frontiers in Neuroimaging, 2023

2022

  1. EMBC
    A 5D approach to study spatio-temporal dynamism of resting-state brain networks in schizophrenia
    B Kazemivash, and VD Calhoun
    In 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2022
  2. Basediagram.jpg
    A novel 5D brain parcellation approach based on spatio-temporal encoding of resting fMRI data from deep residual learning
    Behnam Kazemivash, and Vince D Calhoun
    Journal of neuroscience methods, 2022

2020

  1. BIBE
    BPARC: A novel spatio-temporal (4D) data-driven brain parcellation scheme based on deep residual networks
    Behnam Kazemivash, and Vince D Calhoun
    In 2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE), 2020

2018

  1. SC
    A predictive model-based image watermarking scheme using regression tree and firefly algorithm
    Behnam Kazemivash, and Mohsen Ebrahimi Moghaddam
    Soft Computing, 2018

2017

  1. MTA
    A robust digital image watermarking technique using lifting wavelet transform and firefly algorithm
    Behnam Kazemivash, and Mohsen Ebrahimi Moghaddam
    Multimedia Tools and Applications, 2017