Tracking the Swimming Motions of C. elegans Worms with Applications in Aging Studies

Author:

Restif Christophe,Metaxas Dimitris

Publisher

Springer Berlin Heidelberg

Cited by 14 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Comparative Analysis on Detecting Physiological Age of Caenorhabditis Elegans Using Deep Learning Techniques;2023 5th International Conference on Sustainable Technologies for Industry 5.0 (STI);2023-12-09

2. Convolutional Neural Networks for C. Elegans Muscle Age Classification Using Only Self-learned Features;Journal of Telecommunications and Information Technology;2022-12-29

3. Using Convolutional Neural Networks to Measure the Physiological Age of Caenorhabditis elegans;IEEE/ACM Transactions on Computational Biology and Bioinformatics;2021-11-01

4. Simulación de movimientos vermiformes mediante caminatas aleatorias entre n-símplex vecinos;Revista Tecnología en Marcha;2020-05-28

5. Measuring Oxidative Stress Resistance of Caenorhabditis elegans in 96-well Microtiter Plates;Journal of Visualized Experiments;2015-05-09

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