| The performance of deep generative models for learning joint embeddings of single-cell multi-omics data E Brombacher, M Hackenberg, C Kreutz, H Binder, M Treppner Frontiers in Molecular Biosciences 9, 962644, 2022 | 11 | 2022 |
| Exploring generative deep learning for omics data using log-linear models M Hess, M Hackenberg, H Binder Bioinformatics 36 (20), 5045-5053, 2020 | 9 | 2020 |
| Using differentiable programming for flexible statistical modeling M Hackenberg, M Grodd, C Kreutz, M Fischer, J Esins, L Grabenhenrich, ... The American Statistician 76 (3), 270-279, 2022 | 7 | 2022 |
| The JuliaConnectoR: A functionally oriented interface for integrating Julia in R S Lenz, M Hackenberg, H Binder arXiv preprint arXiv:2005.06334, 2020 | 6 | 2020 |
| Deep dynamic modeling with just two time points: Can we still allow for individual trajectories? M Hackenberg, P Harms, M Pfaffenlehner, A Pechmann, J Kirschner, ... Biometrical Journal 64 (8), 1426-1445, 2022 | 4 | 2022 |
| Clinical Effectiveness of Newborn Screening for Spinal Muscular Atrophy: A Nonrandomized Controlled Trial O Schwartz, K Vill, M Pfaffenlehner, M Behrens, C Weiß, J Johannsen, ... JAMA pediatrics, 2024 | 2 | 2024 |
| Prognosemodelle zur Steuerung von intensivmedizinischen COVID-19-Kapazitäten in Deutschland M Grodd, L Refisch, F Lorenz, M Fischer, M Lottes, M Hackenberg, ... Medizinische Klinik-Intensivmedizin und Notfallmedizin 118 (2), 125-131, 2023 | 2 | 2023 |
| Deep dynamic modeling with just two time points: Can we still allow for individual trajectories? M Hackenberg, P Harms, M Pfaffenlehner, A Pechmann, J Kirschner, ... arXiv preprint arXiv:2012.00634, 2020 | 2 | 2020 |
| A statistical approach to latent dynamic modeling with differential equations M Hackenberg, A Pechmann, C Kreutz, J Kirschner, H Binder arXiv preprint arXiv:2311.16286, 2023 | 1 | 2023 |
| Infusing structural assumptions into dimension reduction for single-cell RNA sequencing data to identify small gene sets M Hackenberg, N Brunn, T Vogel, H Binder bioRxiv, 2024.02. 15.580085, 2024 | | 2024 |
| Combining propensity score methods with variational autoencoders for generating synthetic data in presence of latent sub-groups K Farhadyar, F Bonofiglio, M Hackenberg, D Zoeller, H Binder arXiv preprint arXiv:2312.07781, 2023 | | 2023 |
| Investigating a domain adaptation approach for integrating different measurement instruments in a longitudinal clinical registry M Hackenberg, M Pfaffenlehner, M Behrens, A Pechmann, J Kirschner, ... arXiv preprint arXiv:2312.00616, 2023 | | 2023 |
| Forecasting models to guide intensive care COVID-19 capacities in Germany M Grodd, L Refisch, F Lorenz, M Fischer, M Lottes, M Hackenberg, ... Medizinische Klinik, Intensivmedizin und Notfallmedizin 118 (2), 125-131, 2022 | | 2022 |
| Incorporating structural knowledge into unsupervised deep learning for two-photon imaging data F Eichin, M Hackenberg, C Broichhagen, A Kilias, J Schmoranzer, ... bioRxiv, 2021.05. 18.443587, 2021 | | 2021 |
| 66. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e. V.(GMDS), 12. Jahreskongress der Technologie-und Methodenplattform für … K Farhadyar, M Hackenberg, H Binder | | |
