| DeepCEST 7 T: Fast and homogeneous mapping of 7 T CEST MRI parameters and their uncertainty quantification L Hunger, JR Rajput, K Klein, A Mennecke, MS Fabian, M Schmidt, ... Magnetic Resonance in Medicine 89 (4), 1543-1556, 2023 | 7 | 2023 |
| Deep learning-based assessment of cerebral microbleeds in COVID-19 NR Ferrer, MV Sagar, KV Klein, C Kruuse, M Nielsen, MM Ghazi 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-4, 2023 | 3 | 2023 |
| CORE-BEHRT: A Carefully Optimized and Rigorously Evaluated BEHRT M Odgaard, KV Klein, SM Thysen, E Jimenez-Solem, M Sillesen, ... arXiv preprint arXiv:2404.15201, 2024 | | 2024 |
| COVID-19 associated cerebral microbleeds in the general population MV Sagar, NR Ferrer, M Mehdipour Ghazi, KV Klein, E Jimenez-Solem, ... Brain Communications, fcae127, 2024 | | 2024 |
| Assessing optimal methods for transferring machine learning models to low-volume and imbalanced clinical datasets: experiences from predicting outcomes of Danish trauma patients AS Millarch, A Bonde, M Bonde, KV Klein, F Folke, SS Rudolph, ... Frontiers in digital health 5, 1249258, 2023 | | 2023 |
| COVID-19 Associated Cerebral Microbleeds in the General Population NR Ferrer, MV Sagar, MM Ghazi, KV Klein, E Jimenez-Solem, M Nielsen, ... Available at SSRN 4375623, 2023 | | 2023 |
| Deep Learning-Based Assessment of Cerebral Microbleeds in COVID-19 N Rodeja Ferrer, M Vendela Sagar, K Vadimovic Klein, C Kruuse, ... arXiv e-prints, arXiv: 2301.09322, 2023 | | 2023 |
| DeepCEST: fast mapping of 7T CEST MRI parameters with uncertainty quantification L Hunger, J Rajput, MS Fabian, AB Mennecke, FM Glang, M Schmitt, ... | | 2022 |
Mads NielsenProfessor of Computer Science, University of CopenhagenVerified email at diku.edu
