| Data Augmentation-Based Unsupervised Domain Adaptation In Medical Imaging SN Llambias, M Nielsen, MM Ghazi arXiv preprint arXiv:2308.04395, 2023 | 3 | 2023 |
| Robust Identification of White Matter Hyperintensities in Uncontrolled Settings Using Deep Learning A Schiavone, SN Llambias, J Johansen, S Ingala, A Pai, M Nielsen, ... Medical Imaging with Deep Learning, short paper track, 2023 | 3 | 2023 |
| Yucca: A Deep Learning Framework For Medical Image Analysis SN Llambias, J Machnio, A Munk, J Ambsdorf, M Nielsen, MM Ghazi arXiv preprint arXiv:2407.19888, 2024 | 1 | 2024 |
| Heterogeneous Learning for Brain Lesion Segmentation, Detection, and Classification SN Llambias, M Nielsen, MM Ghazi Northern Lights Deep Learning Conference 2024, 2024 | 1 | 2024 |
| Active Transfer Learning for 3D Hippocampus Segmentation J Wu, Z Kang, SN Llambias, MM Ghazi, M Nielsen Workshop on Medical Image Learning with Limited and Noisy Data, 224-234, 2023 | 1 | 2023 |
| AMAES: Augmented Masked Autoencoder Pretraining on Public Brain MRI Data for 3D-Native Segmentation A Munk, J Ambsdorf, S Llambias, M Nielsen arXiv preprint arXiv:2408.00640, 2024 | | 2024 |
| Check for updates Active Transfer Learning for 3D Hippocampus Segmentation J Wu, Z Kang, SN Llambias, MM Ghazi, M Nielsen Medical Image Learning with Limited and Noisy Data: Second International …, 2023 | | 2023 |
Mads NielsenProfessor of Computer Science, University of Copenhagen在 diku.edu 的电子邮件经过验证
Mads NielsenProfessor of Computer Science, University of Copenhagen在 diku.edu 的电子邮件经过验证
Mostafa Mehdipour GhaziUniversity of Copenhagen在 di.ku.dk 的电子邮件经过验证