| BITES: balanced individual treatment effect for survival data S Schrod, A Schäfer, S Solbrig, R Lohmayer, W Gronwald, PJ Oefner, ... Bioinformatics 38 (Supplement_1), i60-i67, 2022 | 16 | 2022 |
| Spacenet: spatial cellular networks from omics data S Schrod, N Lück, R Lohmayer, S Solbrig, T Wipfler, KH Shutta, ... International Conference on Research in Computational Molecular Biology, 344-347, 2024 | 3* | 2024 |
| Spatial Cellular Networks from omics data with SpaCeNet S Schrod, N Lück, R Lohmayer, S Solbrig, D Völkl, T Wipfler, KH Shutta, ... Genome Research 34 (9), 1371-1383, 2024 | 2 | 2024 |
| Adaptive digital tissue deconvolution F Görtler, M Mensching-Buhr, Ø Skaar, S Schrod, T Sterr, A Schäfer, ... Bioinformatics 40 (Supplement_1), i100-i109, 2024 | 2 | 2024 |
| Fact: Federated adversarial cross training S Schrod, J Lippl, A Schäfer, M Altenbuchinger arXiv preprint arXiv:2306.00607, 2023 | 1 | 2023 |
| Novel machine learning solutions for precision medicine-from causal inference to cellular perturbations and interactions S Schrod | | 2024 |
| CODEX: COunterfactual Deep learning for the in silico EXploration of cancer cell line perturbations S Schrod, HU Zacharias, T Beißbarth, AC Hauschild, M Altenbuchinger Bioinformatics 40 (Supplement_1), i91-i99, 2024 | | 2024 |
| Adversarial Distribution Balancing for Counterfactual Reasoning S Schrod, F Sinz, M Altenbuchinger arXiv preprint arXiv:2311.16616, 2023 | | 2023 |
| White-Light Spectral Interferometry for Characterizing Inhomogeneity in Solutions and Nanocolloids A Praturi, S Schrod, BP Singh, P Vasa ACS Nanoscience Au 2 (6), 486-493, 2022 | | 2022 |
