Geodesic Distance on Optimally Regularized Functional Connectomes Uncovers Individual Fingerprints. Abbas, K., Liu, M., Venkatesh, M., Amico, E., Kaplan, A. D., Ventresca, M., Pessoa, L., Harezlak, J., & Goñi, J. Brain Connect., 11(5):333-348, 2021.
Geodesic Distance on Optimally Regularized Functional Connectomes Uncovers Individual Fingerprints. [link]Link  Geodesic Distance on Optimally Regularized Functional Connectomes Uncovers Individual Fingerprints. [link]Paper  bibtex   
@article{journals/brain/AbbasLVAKVPHG21,
  added-at = {2023-03-21T00:00:00.000+0100},
  author = {Abbas, Kausar and Liu, Mintao and Venkatesh, Manasij and Amico, Enrico and Kaplan, Alan David and Ventresca, Mario and Pessoa, Luiz and Harezlak, Jaroslaw and Goñi, Joaquín},
  biburl = {https://www.bibsonomy.org/bibtex/204af7c61a054f0cc407e1539ebcb7419/dblp},
  ee = {https://doi.org/10.1089/brain.2020.0881},
  interhash = {bfc189c1459fff8bea30278fa3a553a6},
  intrahash = {04af7c61a054f0cc407e1539ebcb7419},
  journal = {Brain Connect.},
  keywords = {dblp},
  number = 5,
  pages = {333-348},
  timestamp = {2024-04-08T12:45:56.000+0200},
  title = {Geodesic Distance on Optimally Regularized Functional Connectomes Uncovers Individual Fingerprints.},
  url = {http://dblp.uni-trier.de/db/journals/brain/brain11.html#AbbasLVAKVPHG21},
  volume = 11,
  year = 2021
}

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