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Behnam Kazemivash

Showing results (1-10 of 6) with videos related to

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Journal of Neuroscience Methods|January 15, 2022
A novel 5D brain parcellation approach based on spatio-temporal encoding of resting fMRI data from deep residual learningBehnam Kazemivash, Vince D Calhoun
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Scepter: Weakly Supervised Framework for Spatiotemporal Dense Prediction of 4D Dynamic Brain NetworksBehnam Kazemivash, Pranav Suresh, Jingyu Liu, et al.
Frontiers in Neuroimaging|August 9, 2023
A deep residual model for characterization of 5D spatiotemporal network dynamics reveals widespread spatiodynamic changes in schizophreniaBehnam Kazemivash, Theo G M van Erp, Peter Kochunov, et al.
... IEEE-EMBS International Conference on Biomedical and Health Informatics. IEEE-EMBS International Conference on Biomedical and Health Informatics|April 8, 2026
Integrating Neuroimaging and Genetics via Contrastive Learning for Working MemoryPranav Nadigapu Suresh, Behnam Kazemivash, Dawn M Jensen, et al.
Biorxiv : the Preprint Server for Biology|December 9, 2024
st-DenseViT: A Weakly Supervised Spatiotemporal Vision Transformer for Dense Prediction of Dynamic Brain NetworksBehnam Kazemivash, Pranav Nadigapu Suresh, Dong Hye Ye, et al.
Human Brain Mapping|September 27, 2025
st-DenseViT: A Weakly Supervised Spatiotemporal Vision Transformer for Dense Prediction of Dynamic Brain NetworksBehnam Kazemivash, Pranav Suresh, Dong Hye Ye, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Journal of Neuroscience Methods|January 15, 2022
A novel 5D brain parcellation approach based on spatio-temporal encoding of resting fMRI data from deep residual learningBehnam Kazemivash, Vince D Calhoun
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Scepter: Weakly Supervised Framework for Spatiotemporal Dense Prediction of 4D Dynamic Brain NetworksBehnam Kazemivash, Pranav Suresh, Jingyu Liu, et al.
Frontiers in Neuroimaging|August 9, 2023
A deep residual model for characterization of 5D spatiotemporal network dynamics reveals widespread spatiodynamic changes in schizophreniaBehnam Kazemivash, Theo G M van Erp, Peter Kochunov, et al.
... IEEE-EMBS International Conference on Biomedical and Health Informatics. IEEE-EMBS International Conference on Biomedical and Health Informatics|April 8, 2026
Integrating Neuroimaging and Genetics via Contrastive Learning for Working MemoryPranav Nadigapu Suresh, Behnam Kazemivash, Dawn M Jensen, et al.
Biorxiv : the Preprint Server for Biology|December 9, 2024
st-DenseViT: A Weakly Supervised Spatiotemporal Vision Transformer for Dense Prediction of Dynamic Brain NetworksBehnam Kazemivash, Pranav Nadigapu Suresh, Dong Hye Ye, et al.
Human Brain Mapping|September 27, 2025
st-DenseViT: A Weakly Supervised Spatiotemporal Vision Transformer for Dense Prediction of Dynamic Brain NetworksBehnam Kazemivash, Pranav Suresh, Dong Hye Ye, et al.
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