Yeast cell segmentation in microstructured environments with deep learning T Prangemeier, C Wildner, AO Françani, C Reich, H Koeppl Biosystems 211, 104557, 2022 | 24 | 2022 |
Multiclass yeast segmentation in microstructured environments with deep learning T Prangemeier, C Wildner, AO Françani, C Reich, H Koeppl 2020 IEEE Conference on Computational Intelligence in Bioinformatics and …, 2020 | 17 | 2020 |
Tensor-train approximation of the chemical master equation and its application for parameter inference IG Ion, C Wildner, D Loukrezis, H Koeppl, H De Gersem The Journal of Chemical Physics 155 (3), 2021 | 14 | 2021 |
Moment-based variational inference for Markov jump processes C Wildner, H Koeppl International Conference on Machine Learning, 6766-6775, 2019 | 14 | 2019 |
Maximizing information gain for the characterization of biomolecular circuits T Prangemeier, C Wildner, M Hanst, H Koeppl Proceedings of the 5th ACM International Conference on Nanoscale Computing …, 2018 | 12 | 2018 |
Multi-stylegan: Towards image-based simulation of time-lapse live-cell microscopy C Reich, T Prangemeier, C Wildner, H Koeppl Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 8 | 2021 |
Noisy predator–prey model explains oscillation patterns in sockeye salmon data CK Schmitt, C Wildner, B Drossel Journal of theoretical biology 389, 198-205, 2016 | 4 | 2016 |
Multi-StyleGAN: Towards Image-Based Simulation of Time-Lapse Live-Cell Microscopy T Prangemeier, C Reich, C Wildner, H Koeppl arXiv e-prints, arXiv: 2106.08285, 2021 | 2 | 2021 |
Moment-based variational inference for stochastic differential equations C Wildner, H Koeppl International Conference on Artificial Intelligence and Statistics, 1918-1926, 2021 | 2 | 2021 |
Bayesian analysis dissects kinetic modulation during non-stationary gene expression C Wildner, GD Mehta, DA Ball, TS Karpova, H Koeppl bioRxiv, 2023 | 1 | 2023 |
Deep Learning for Cell Segmentation in Synthetic Biological Research H Koeppl, T Prangemeier, C Wildner | | 2022 |