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Found 6 papers, 3 papers with code
Yeast cell segmentation in microstructured environments with deep learning
We give an overview of the datasets recorded for training, validating and testing the networks, as well as a typical use-case.
Multi-StyleGAN: Towards Image-Based Simulation of Time-Lapse Live-Cell Microscopy
Time-lapse fluorescent microscopy (TLFM) combined with predictive mathematical modelling is a powerful tool to study the inherently dynamic processes of life on the single-cell level.
Ranked #1 on
TFLM sequence generation
on TLFM dataset
Moment-Based Variational Inference for Stochastic Differential Equations
We construct the variational process as a controlled version of the prior process and approximate the posterior by a set of moment functions.
Maximizing Information Gain for the Characterization of Biomolecular Circuits
Quantitatively predictive models of biomolecular circuits are important tools for the design of synthetic biology and molecular communication circuits.
Multiclass Yeast Segmentation in Microstructured Environments with Deep Learning
Cell segmentation is a major bottleneck in extracting quantitative single-cell information from microscopy data.
Moment-Based Variational Inference for Markov Jump Processes
We propose moment-based variational inference as a flexible framework for approximate smoothing of latent Markov jump processes.
