Sturma, Nils; Squires, Chandler; Drton, Mathias; Uhler, Caroline
Unpaired Multi-Domain Causal Representation Learning
34465--34492
Advances in Neural Information Processing Systems 36
37th Annual Conference on Neural Information Processing Systems (NeurIPS 2023)
2023

Carniello, P.;Ferreira, F. M.;Hanik, N.
Scaling of the nonlinear coupling coefficient in multimode fibers
49th European Conference on Optical Communications (ECOC 2023)
Institution of Engineering and Technology
2023

Wyrich, Marvin;Bogner, Justus;Wagner, Stefan
40 Years of Designing Code Comprehension Experiments: A Systematic Mapping Study
ACM Computing Surveys
2023
56
4
1-42

Schumann, Felix;Rinderle-Ma, Stefanie
Resource-Driven Process Manipulation: Modeling Concepts and Valid Allocations
Cooperative Information Systems
Springer Nature Switzerland
2023

Sistermanns, J., Emken, E., Weirich, G., Hayden, O., & Utschick, W.
Unsupervised high-throughput segmentation of cells and cell nuclei in quantitative phase images.
arXiv
2023
2311.14639

Eggert, S., Stetsenko, S., Wiest, J.
Cellasys #8: A Microphysiometric Assay for Real-Time Cell Analysis within 24 Hours.
Cell Viability Assays. Methods in Molecular Biology
Springer
2023

Gilbert, D.F., Friedrich, O., Wiest, J.
Assaying Proliferation Characteristics of Cells Cultured Under Static Versus Periodic Conditions.
Cell Viability Assays. Methods in Molecular Biology
Friedrich, O., Gilbert, D.F.
Springer
2023

Klenk, C.; Fresacher, D.; Röhrl, S.; Heim, D.; Lengl, M.; Schumann, S.; Knopp, M.; Diepold, K.; Holdenrieder, S. and Hayden, O.
Measurement of Platelet Aggregation in Ageing Samples and After in-Vitro Activation
57-65
Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - BIOIMAGING
SciTePress
2023

Stefan Röhrl, Hendrik Maier, Manuel Lengl, Christian Klenk, Dominik Heim, Martin Knopp, Simon Schumann, Oliver Hayden, Klaus Diepold
Explainable Artificial Intelligence for Cytological Image Analysis
Artificial Intelligence in Medicine. AIME 2023. Lecture Notes in Computer Science()
Springer
2023

Röhrl, S.; Bernhard, L.; Lengl, M.; Klenk, C.; Heim, D.; Knopp, M.; Schumann, S.; Hayden, O. and Diepold, K.
Explainable Feature Learning with Variational Autoencoders for Holographic Image Analysis.
69-77
Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - BIOIMAGING
2023