Artikel

Prangemeier, T. ; Wildner, C. ; Françani, A. ; Reich, C. ; Koeppl, H. (2021)
Yeast cell segmentation in microstructured environments with deep learning.
In: Biosystems
doi: 10.1016/j.biosystems.2021.104557
Artikel, Bibliographie

Ion, Ion Gabriel ; Wildner, C. ; Loukrezis, D. ; Koeppl, H. ; De Gersem, H. (2021)
Tensor-train approximation of the chemical master equation and its application for parameter inference.
In: The Journal of Chemical Physics, 155 (3)
doi: 10.1063/5.0045521
Artikel, Bibliographie

Konferenzveröffentlichung

Prangemeier, T. ; Reich, C. ; Wildner, C. ; Koeppl, H. (2021)
Multi-StyleGAN: Towards Image-Based Simulation of Time-Lapse Live-Cell Microscopy.
24th International Conference on Medical Image Computing and Computer-Assisted Intervention. Strasbourg, France (27.09.2021-01.10.2021)
doi: 10.1007/978-3-030-87237-3_46
Konferenzveröffentlichung, Bibliographie

Wildner, C. ; Koeppl, H. (2021)
Moment-Based Variational Inference for Stochastic Differential Equations.
24th International Conference on Artificial Intelligence and Statistics (AISTATS). virtual Conference (13.04.2021-15.04.2021)
Konferenzveröffentlichung, Bibliographie

Prangemeier, Tim ; Wildner, C. ; Francani, A. O. ; Reich, C. ; Koeppl, H. (2020)
Multiclass Yeast Segmentation in Microstructured Environments with Deep Learning.
International Conference on Computational Intelligence in Bioinformatics and Computational Biology. virtual Conference (27.10.2020-29.10.2020)
doi: 10.1109/CIBCB48159.2020.9277693
Konferenzveröffentlichung, Bibliographie

Prangemeier, Tim ; Wildner, C. ; Hanst, M. ; Koeppl, Heinz (2018)
Maximizing information gain for the characterization of biomolecular circuits.
5th ACM International Conference on Nanoscale Computing and Communication (NANOCOM'18). Reykjavik, Iceland (05.09.2018-07.09.2018)
doi: 10.1145/3233188.3233217
Konferenzveröffentlichung, Bibliographie