| Best practices for single-cell analysis across modalities L Heumos, AC Schaar, C Lance, A Litinetskaya, F Drost, L Zappia, ... Nature Reviews Genetics 24 (8), 550-572, 2023 | 451 | 2023 |
| Interpretable and fine-grained visual explanations for convolutional neural networks J Wagner, JM Kohler, T Gindele, L Hetzel, JT Wiedemer, S Behnke Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 177 | 2019 |
| Predicting cellular responses to complex perturbations in high‐throughput screens M Lotfollahi, A Klimovskaia Susmelj, C De Donno, L Hetzel, Y Ji, IL Ibarra, ... Molecular systems biology 19 (6), e11517, 2023 | 128 | 2023 |
| Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution L Hetzel, S Boehm, N Kilbertus, S Günnemann, M Lotfollahi, FJ Theis Advances in Neural Information Processing Systems, 2022 | 53* | 2022 |
| Graph representation learning for single-cell biology L Hetzel, DS Fischer, S Günnemann, FJ Theis Current Opinion in Systems Biology 28, 100347, 2021 | 40 | 2021 |
| Simulation of non-Pauli channels TPW Cope, L Hetzel, L Banchi, S Pirandola Physical Review A 96 (2), 022323, 2017 | 27 | 2017 |
| Künstliche neuronale Netze: Ein Nachbau unseres Gehirns? L Hetzel, F Wangelik Wie Maschinen lernen: Künstliche Intelligenz verständlich erklärt, 149-161, 2019 | 8 | 2019 |
| Magnet: Motif-agnostic generation of molecules from shapes L Hetzel, J Sommer, B Rieck, F Theis, S Günnemann arXiv preprint arXiv:2305.19303, 2023 | 4 | 2023 |
| Modelling single-cell RNA-seq trajectories on a flat statistical manifold A Palma, S Rybakov, L Hetzel, FJ Theis NeurIPS 2023 AI for Science Workshop, 2023 | 3 | 2023 |
| Uncertainty Quantification for Atlas-Level Cell Type Transfer L Hetzel, J Engelmann, G Palla, L Sikkema, M Luecken, F Theis arXiv preprint arXiv:2211.03793, 2022 | 3 | 2022 |
| An open-source framework for end-to-end analysis of electronic health record data L Heumos, P Ehmele, T Treis, J Upmeier zu Belzen, E Roellin, L May, ... Nature medicine, 1-12, 2024 | 2 | 2024 |
| The Power of Motifs as Inductive Bias for Learning Molecular Distributions J Sommer, L Hetzel, D Lüdke, FJ Theis, S Günnemann ICLR 2023-Machine Learning for Drug Discovery workshop, 0 | 2* | |
| Expressivity and Generalization: Fragment-Biases for Molecular GNNs T Wollschläger, N Kemper, L Hetzel, J Sommer, S Günnemann International Conference on Machine Learning (ICML)., 2024 | 1 | 2024 |
| Exploratory electronic health record analysis with ehrapy L Heumos, P Ehmele, T Treis, J Upmeier zu Belzen, A Namsaraeva, ... medRxiv, 2023.12. 11.23299816, 2023 | 1 | 2023 |
| Creating bottom-up RNA transfer vehicles from synthetic protein assemblies W Wurst, M Schuhmacher, C Gruber, C Lang, R Ruijpers, L Mazneykova, ... | | 2024 |
| Community effort to unravel the complex human neuronal landscape exemplified for the striatum J Schultze, S Agrawal, R Scholz, C Hartmann, L Hetzel, C Carraro, ... | | 2024 |
| Method and device for ascertaining an explanation map J Wagner, T Gindele, JM Koehler, JT Wiedemer, L Hetzel US Patent 11,783,190, 2023 | | 2023 |
| Method and device for ascertaining an explanation map J Wagner, T Gindele, JM Koehler, JT Wiedemer, L Hetzel US Patent 11,645,828, 2023 | | 2023 |
| Unified Guidance for Geometry-Conditioned Molecular Generation S Ayadi, L Hetzel, J Sommer, FJ Theis, S Günnemann The Thirty-eighth Annual Conference on Neural Information Processing Systems, 0 | | |
