A robust digital image watermarking technique using lifting wavelet transform and firefly algorithm. - Behnam Kazemivash; Mohsen Ebrahimi Moghaddam (Multim. Tools Appl., 2017)

A predictive model-based image watermarking scheme using Regression Tree and Firefly algorithm. - Behnam Kazemivash; Mohsen Ebrahimi Moghaddam (Soft Comput., 2018)

BPARC: A novel spatio-temporal (4D) data-driven brain parcellation scheme based on deep residual networks. - Behnam Kazemivash; Vince D. Calhoun (BIBE, 2020)

A 5D approach to study spatio-temporal dynamism of resting-state brain networks in schizophrenia. - Behnam Kazemivash; Vince D. Calhoun (EMBC, 2022)

Effective Training Strategy for NN Models of Working Memory Classification with Limited Samples. - Pranav Suresh; Bhaskar Ray; Bishal Thapaliya; Britny Farahdel; Behnam Kazemivash; Jiayu Chen 003; Kuaikuai Duan; Vince D. Calhoun; Jingyu Liu 001 (ISBI, 2023)

Integrating Neuroimaging and Genetics via Contrastive Learning for Working Memory. - Pranav Nadigapu Suresh; Behnam Kazemivash; Dawn M. Jensen; Vince D. Calhoun; Jingyu Liu 001 (BHI, 2024)

Spatiotemporal Vision Transformer for Weakly Supervised Dense Prediction of Dynamic Brain Maps. - Behnam Kazemivash; Armin Iraji; Sergey M. Plis; Vince D. Calhoun (BMVC, 2024)

Scepter: Weakly Supervised Framework for Spatiotemporal Dense Prediction of 4D Dynamic Brain Networks. - Behnam Kazemivash; Pranav Suresh; Jingyu Liu 001; Dong Hye Ye; Vince D. Calhoun (EMBC, 2024)