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Cited by in F6Publishing
For: Svetnik V, Wang T, Xu Y, Hansen BJ, V. Fox S. A Deep Learning Approach for Automated Sleep-Wake Scoring in Pre-Clinical Animal Models. Journal of Neuroscience Methods 2020;337:108668. [DOI: 10.1016/j.jneumeth.2020.108668] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
Number Citing Articles
1 Kam K, Rapoport DM, Parekh A, Ayappa I, Varga AW. WaveSleepNet: An interpretable deep convolutional neural network for the continuous classification of mouse sleep and wake. J Neurosci Methods 2021;360:109224. [PMID: 34052291 DOI: 10.1016/j.jneumeth.2021.109224] [Reference Citation Analysis]
2 Grieger N, Schwabedal JTC, Wendel S, Ritze Y, Bialonski S. Automated scoring of pre-REM sleep in mice with deep learning. Sci Rep 2021;11:12245. [PMID: 34112829 DOI: 10.1038/s41598-021-91286-0] [Reference Citation Analysis]
3 Kiss T, Morairty S, Schwartz M, Kilduff T, Buhl D, Volfson D. Automated Sleep Stage Scoring Using k-Nearest Neighbors Classifier. JOSS 2020;5:2377. [DOI: 10.21105/joss.02377] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
4 Alsolai H, Qureshi S, Zeeshan Iqbal SM, Ameer A, Cheaha D, Henesey LE, Karrila S. Employing a Long-Short-Term Memory Neural Network to Improve Automatic Sleep Stage Classification of Pharmaco-EEG Profiles. Applied Sciences 2022;12:5248. [DOI: 10.3390/app12105248] [Reference Citation Analysis]
5 Zhang X, Landsness EC, Chen W, Miao H, Tang M, Brier LM, Culver JP, Lee JM, Anastasio MA. Automated sleep state classification of wide-field calcium imaging data via multiplex visibility graphs and deep learning. J Neurosci Methods 2022;366:109421. [PMID: 34822945 DOI: 10.1016/j.jneumeth.2021.109421] [Reference Citation Analysis]