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Albrecht, Dirk
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Microfluidic High-Throughput Methods for the Induction and Characterization of Repeatable, Titratable Traumatic Neural Injury in the Nematode Caenorhabditis elegans
1 de 10
Applications of Deep Learning in Brain Injury Biomechanics and Spine Image Registration
2 de 10
Applications of Machine Learning in Real-time Brain Tissue Strain Estimation
3 de 10
Neuromodulation of Sex-Specific Pheromone-Mediated Behaviors
4 de 10
Machine Learning Pipelines for Deconvolution of Cellular and Subcellular Heterogeneity from Cell Imaging
5 de 10
Development of automated analysis methods for identifying behavioral and neural plasticity in sleep and learning in C. elegans
6 de 10
RVD2: An ultra-sensitive variant detection model for low-depth heterogeneous next-generation sequencing data
7 de 10
Automated whole-organism functional screening technologies and neurological disease models in C. elegans
8 de 10
Statistical Methods for Characterizing Genomic Heterogeneity in Mixed Samples
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A Microfluidic Platform for Exploring Learning Behavior in C. elegans
10 de 10