Lightning Pose: improved animal pose estimation via semi-supervised learning, Bayesian ensembling and cloud-native open-source tools.
- DOI
- 10.1038/s41592-024-02319-1
- Published
- 2024 Jul
- Container
- Nature methods
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41592-024-02319-1,
title = {Lightning Pose: improved animal pose estimation via semi-supervised learning, Bayesian ensembling and cloud-native open-source tools.},
author = {Biderman D and Whiteway MR and Hurwitz C and Greenspan N and Lee RS and Vishnubhotla A and Warren R and Pedraja F and Noone D and Schartner MM and Huntenburg JM and Khanal A and Meijer GT and Noel JP and Pan-Vazquez A and Socha KZ and Urai AE and International Brain Laboratory and Cunningham JP and Sawtell NB and Paninski L},
year = {2024},
journal = {Nature methods},
doi = {10.1038/s41592-024-02319-1},
url = {https://doi.org/10.1038/s41592-024-02319-1}
}RIS
TY - JOUR TI - Lightning Pose: improved animal pose estimation via semi-supervised learning, Bayesian ensembling and cloud-native open-source tools. AU - Biderman D AU - Whiteway MR AU - Hurwitz C AU - Greenspan N AU - Lee RS AU - Vishnubhotla A AU - Warren R AU - Pedraja F AU - Noone D AU - Schartner MM AU - Huntenburg JM AU - Khanal A AU - Meijer GT AU - Noel JP AU - Pan-Vazquez A AU - Socha KZ AU - Urai AE AU - International Brain Laboratory AU - Cunningham JP AU - Sawtell NB AU - Paninski L PY - 2024 JO - Nature methods DO - 10.1038/s41592-024-02319-1 UR - https://doi.org/10.1038/s41592-024-02319-1 ER -
APA
D, B., MR, W., C, H., N, G., RS, L., A, V., R, W., F, P., D, N., MM, S., JM, H., A, K., GT, M., JP, N., A, P., KZ, S., AE, U., Laboratory, I. B., JP, C., NB, S., & L, P. (2024). Lightning Pose: improved animal pose estimation via semi-supervised learning, Bayesian ensembling and cloud-native open-source tools.. Nature methods. https://doi.org/10.1038/s41592-024-02319-1
Source records
- pubmed · retrieved 2026-09-27T06:43:45.261Z