| Masked autoencoder for self-supervised pre-training on lidar point clouds G Hess, J Jaxing, E Svensson, D Hagerman, C Petersson, L Svensson Proceedings of the IEEE/CVF winter conference on applications of computer …, 2023 | 25 | 2023 |
| Masked autoencoders for self-supervised learning on automotive point clouds G Hess, J Jaxing, E Svensson, D Hagerman, C Petersson, L Svensson arXiv preprint arXiv:2207.00531 3, 2022 | 12 | 2022 |
| Semi-supervised learning with natural language processing for right ventricle classification in echocardiography—a scalable approach E Hagberg, D Hagerman, R Johansson, N Hosseini, J Liu, E Björnsson, ... Computers in Biology and Medicine 143, 105282, 2022 | 8 | 2022 |
| Music recommendations based on real-time data M Aurén, A Bååw, D Hagerman Olzon, T Karlsson, L Nilsson, ... | 3 | 2018 |
| A deep multi-stream model for robust prediction of left ventricular ejection fraction in 2D echocardiography J Alvén, E Hagberg, D Hagerman, R Petersen, O Hjelmgren Scientific Reports 14 (1), 2104, 2024 | | 2024 |
