| 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 | 67 | 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 | 49 | 2020 |
| Learning meaningful representations of protein sequences NS Detlefsen, S Hauberg, W Boomsma Nature communications 13 (1), 1914, 2022 | 44 | 2022 |
| Explicit disentanglement of appearance and perspective in generative models N Skafte, S Hauberg Advances in Neural Information Processing Systems 32, 2019 | 39 | 2019 |
| Deep diffeomorphic transformer networks NS Detlefsen, O Freifeld, S Hauberg Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 38 | 2018 |
| Reliable training and estimation of variance networks N Skafte, M Jørgensen, S Hauberg Advances in Neural Information Processing Systems 32, 2019 | 31 | 2019 |
| Reliable training and estimation of variance networks NS Detlefsen, M Jørgensen, S Hauberg arXiv preprint arXiv:1906.03260, 2019 | 28 | 2019 |
| Diffeomorphic temporal alignment nets RA Shapira Weber, M Eyal, N Skafte, O Shriki, O Freifeld Advances in Neural Information Processing Systems 32, 2019 | 25 | 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 | 12 | 2022 |
| Ananya Harsh Jha, Teddy Koker, Luca Di Liello, Daniel Stancl, Changsheng Quan, Maxim Grechkin, and William Falcon. 2022. Torchmetrics-measuring reproducibility in pytorch NS Detlefsen, J Borovec, J Schock Journal of Open Source Software 7 (70), 4101, 0 | 7 | |
| Lung segmentation from chest X-rays using variational data imputation. arXiv 2020 R Selvan, EB Dam, NS Detlefsen, S Rischel, K Sheng, M Nielsen, A Pai arXiv preprint arXiv:2005.10052, 0 | 5 | |
| Laplacian autoencoders for learning stochastic representations M Miani, F Warburg, P Moreno-Muñoz, N Skafte, S Hauberg Advances in Neural Information Processing Systems 35, 21059-21072, 2022 | 3 | 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 |
