Ultraliser: a framework for creating multiscale, high-fidelity and geometrically realistic 3D models for \emphin silico neuroscience. Abdellah, M., Garcia-Cantero, J. J., Guerrero, N. R., Foni, A., Coggan, J. S., Calì, C., Agus, M., Zisis, E., Keller, D., Hadwiger, M., Magistretti, P. J., Markram, H., & Sch"urmann, F. Briefings Bioinform., 2023.
Ultraliser: a framework for creating multiscale, high-fidelity and geometrically realistic 3D models for \emphin silico neuroscience [link]Paper  doi  bibtex   
@article{DBLP:journals/bib/AbdellahGGFCCAZKHMMS23,
  author    = {Marwan Abdellah and
               Juan Jose Garcia{-}Cantero and
               Nadir Rom{\'{a}}n Guerrero and
               Alessandro Foni and
               Jay S. Coggan and
               Corrado Cal{\`{\i}} and
               Marco Agus and
               Eleftherios Zisis and
               Daniel Keller and
               Markus Hadwiger and
               Pierre J. Magistretti and
               Henry Markram and
               Felix Sch{\"{u}}rmann},
  title     = {Ultraliser: a framework for creating multiscale, high-fidelity and
               geometrically realistic 3D models for \emph{in silico} neuroscience},
  journal   = {Briefings Bioinform.},
  volume    = {24},
  number    = {1},
  year      = {2023},
  url       = {https://doi.org/10.1093/bib/bbac491},
  doi       = {10.1093/bib/bbac491},
  timestamp = {Sat, 25 Feb 2023 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/bib/AbdellahGGFCCAZKHMMS23.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

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