Quantification of Myxococcus xanthus Aggregation Behaviors with Deep Learning Approaches
Presentation, The 48th International Conference on the Biology of Myxobacteria, Princeton, NJ
Talks and presentations
Quantification of Myxococcus xanthus Aggregation Behaviors with Deep Learning Approaches
Presentation, Center for Theoretical Biological Physics (CTBP) Student/Postdoc Workshop, online
Quantification of Myxococcus xanthus Aggregation Behaviors with Deep Learning Approaches
Presentation, Computational system biology meeting, Center for Theoretical Biological Physics, online
Quantification of Myxococcus xanthus Aggregation Behaviors with Deep Learning Approaches
Presentation, Session II: Collective phenomena, 2022 Annual Meeting of the International Physics of Living Systems (iPOLS) network, Montpellier, France
Quantification of Myxococcus xanthus Aggregation and Rippling Behaviors: Deep-Learning Transformation of Phase-Contrast into Fluorescence Microscopy Images
Contributed talk, The 46.5th Annual International Meeting on the Biology of the Myxobacteria, online
Quantification of Myxococcus xanthus Aggregation and Rippling Behaviors: Deep-Learning Transformation of Phase-Contrast into Fluorescence Microscopy Images
Workshop Technical Presentation, 2021 Ken Kennedy AI and Data Science Conference, Houston, TX
Using Deep Learning to Quantify Bacterial Self-organization Patterns
Trainee Talk, 2nd Annual Translational Imaging Conference AI and Machine Learning in Imaging, Houston, TX