| Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients E Jimenez-Solem, TS Petersen, C Hansen, C Hansen, C Lioma, C Igel, ... Scientific reports 11 (1), 1-12, 2021 | 56 | 2021 |
| Lung segmentation from chest X-rays using variational data imputation R Selvan, EB Dam, NS Detlefsen, S Rischel, K Sheng, M Nielsen, A Pai arXiv preprint arXiv:2005.10052, 2020 | 42 | 2020 |
| Explicit disentanglement of appearance and perspective in generative models N Skafte, S Hauberg Advances in Neural Information Processing Systems 32, 2019 | 36 | 2019 |
| Deep diffeomorphic transformer networks NS Detlefsen, O Freifeld, S Hauberg Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 34 | 2018 |
| Learning meaningful representations of protein sequences NS Detlefsen, S Hauberg, W Boomsma Nature communications 13 (1), 1914, 2022 | 27 | 2022 |
| Reliable training and estimation of variance networks NS Detlefsen, M Jørgensen, S Hauberg arXiv preprint arXiv:1906.03260, 2019 | 25 | 2019 |
| Reliable training and estimation of variance networks N Skafte, M Jørgensen, S Hauberg Advances in Neural Information Processing Systems 32, 2019 | 24 | 2019 |
| Diffeomorphic temporal alignment nets RA Shapira Weber, M Eyal, N Skafte, O Shriki, O Freifeld Advances in Neural Information Processing Systems 32, 2019 | 23 | 2019 |
| TorchMetrics-Measuring Reproducibility in PyTorch NS Detlefsen, J Borovec, J Schock, AH Jha, T Koker, L Di Liello, D Stancl, ... Journal of Open Source Software 7 (70), 4101, 2022 | 2 | 2022 |
| Is an encoder within reach? H Hauschultz, RBP Moreno-Muños, NS Detlefsen, AA Plessis, S Hauberg arXiv preprint arXiv:2206.01552, 2022 | | 2022 |
| Learning invariant representations from prior knowledge in Deep Learning NS Detlefsen Technical University of Denmark, 2020 | | 2020 |
