| 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 | 11 | 2022 |
| FACT: Federated Adversarial Cross Training S Schrod, J Lippl, A Schäfer, M Altenbuchinger arXiv preprint arXiv:2306.00607, 2023 | 1 | 2023 |
| Adaptive digital tissue deconvolution F Görtler, M Mensching-Buhr, Ø Skaar, S Schrod, T Sterr, A Schäfer, ... bioRxiv, 2023.02. 08.527583, 2023 | 1 | 2023 |
| SpaCeNet: spatial cellular networks from omics data N Lück, R Lohmayer, S Solbrig, S Schrod, T Wipfler, KH Shutta, ... bioRxiv, 2022 | 1 | 2022 |
| CODEX: COunterfactual Deep learning for the in-silico EXploration of cancer cell line perturbations S Schrod, HU Zacharias, T Beissbarth, AC Hauschild, MC Altenbuchinger bioRxiv, 2024.01. 24.577020, 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 |
