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Christian Wildner
Christian Wildner
Self-Organizing Systems Lab, Technische Universität Darmstadt, Darmstadt, Germany
Verified email at tu-darmstadt.de
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Cited by
Cited by
Year
Yeast cell segmentation in microstructured environments with deep learning
T Prangemeier, C Wildner, AO Françani, C Reich, H Koeppl
Biosystems 211, 104557, 2022
232022
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
172020
Moment-based variational inference for Markov jump processes
C Wildner, H Koeppl
International Conference on Machine Learning, 6766-6775, 2019
142019
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
132021
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
122018
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
72021
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
42016
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
22021
Moment-based variational inference for stochastic differential equations
C Wildner, H Koeppl
International Conference on Artificial Intelligence and Statistics, 1918-1926, 2021
22021
Bayesian analysis dissects kinetic modulation during non-stationary gene expression
C Wildner, GD Mehta, DA Ball, TS Karpova, H Koeppl
bioRxiv, 2023
12023
Deep Learning for Cell Segmentation in Synthetic Biological Research
H Koeppl, T Prangemeier, C Wildner
2022
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