Machine learning predicts sperm motility from videos and participant data.
arXiv research
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A method for inferring motility models and heterogeneity from particle trajectories.
GeNAS uses genetic algorithms to automatically assess human sperm morphology.
New friction model for geometric locomotion systems.
Machine learning predicts phase behavior in active matter suspensions.
Method combines latent space exploration and causal inference to interpret unknown data.
We propose a new deep learning approach for medical imaging that copes with the problem of a small training set, the main bottleneck of deep learning, and apply it for classification of healthy and cancer cells acquired by quantitative phase imaging. The proposed method, called transferring of pre-trained generative ad…