Message in a Bottleneck: Interpretable Deep Learning for Dynamic Effective Brain Connectivity
- DOI
- 10.1109/tmi.2026.3735891
- Published
- 2026
- Container
- IEEE Transactions on Medical Imaging
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tmi.2026.3735891,
title = {Message in a Bottleneck: Interpretable Deep Learning for Dynamic Effective Brain Connectivity},
author = {Pavel Popov and Cristian Morasso and Giorgio Dolci and Ilaria Boscolo Galazzo and Godfrey Pearlson and David Danks and Vince Calhoun and Gloria Menegaz and Sergey Plis},
year = {2026},
journal = {IEEE Transactions on Medical Imaging},
doi = {10.1109/tmi.2026.3735891},
url = {https://doi.org/10.1109/tmi.2026.3735891}
}RIS
TY - JOUR TI - Message in a Bottleneck: Interpretable Deep Learning for Dynamic Effective Brain Connectivity AU - Pavel Popov AU - Cristian Morasso AU - Giorgio Dolci AU - Ilaria Boscolo Galazzo AU - Godfrey Pearlson AU - David Danks AU - Vince Calhoun AU - Gloria Menegaz AU - Sergey Plis PY - 2026 JO - IEEE Transactions on Medical Imaging DO - 10.1109/tmi.2026.3735891 UR - https://doi.org/10.1109/tmi.2026.3735891 ER -
APA
Popov, P., Morasso, C., Dolci, G., Galazzo, I. B., Pearlson, G., Danks, D., Calhoun, V., Menegaz, G., & Plis, S. (2026). Message in a Bottleneck: Interpretable Deep Learning for Dynamic Effective Brain Connectivity. IEEE Transactions on Medical Imaging. https://doi.org/10.1109/tmi.2026.3735891
Source records
- crossref · retrieved 2026-09-25T08:47:50.891Z