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Number of items: 6.

Prangemeier, T. ; Wildner, C. ; Françani, A. ; Reich, C. ; Koeppl, H. (2021):
Yeast cell segmentation in microstructured environments with deep learning.
In: Biosystems, Elsevier, ISSN 0303-2647,
DOI: 10.1016/j.biosystems.2021.104557,
[Article]

Prangemeier, T. ; Reich, C. ; Wildner, C. ; Koeppl, H. (2021):
Multi-StyleGAN: Towards Image-Based Simulation of Time-Lapse Live-Cell Microscopy.
In: LNCS, 12908, In: Medical Image Computing and Computer Assisted Intervention - MICCAI 2021, pp. 476-486,
Springer, 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, Strasbourg, France, 27.09.-01.10.2021, ISBN 978-3-030-87236-6,
DOI: 10.1007/978-3-030-87237-3_46,
[Conference or Workshop Item]

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 (034102), ISSN 0021-9606,
DOI: 10.1063/5.0045521,
[Article]

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.-15.04.2021, [Conference or Workshop Item]

Prangemeier, Tim ; Wildner, C. ; Francani, A. O. ; Reich, C. ; Koeppl, H. (2020):
Multiclass Yeast Segmentation in Microstructured Environments with Deep Learning.
IEEE, International Conference on Computational Intelligence in Bioinformatics and Computational Biology, virtual Conference, October 27-29, 2020, [Conference or Workshop Item]

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.-07.09.2018, DOI: 10.1145/3233188.3233217,
[Conference or Workshop Item]

This list was generated on Tue May 17 01:42:40 2022 CEST.