| Fully automatic whole-volume tumor segmentation in cervical cancer E Hodneland, S Kaliyugarasan, KS Wagner-Larsen, N Lura, E Andersen, ... Cancers 14 (10), 2372, 2022 | 15 | 2022 |
| Pulmonary nodule classification in lung cancer from 3D thoracic CT scans using fastai and MONAI SK Kaliyugarasan, A Lundervold, AS Lundervold UNIR-Universidad Internacional de La Rioja, 2021 | 13 | 2021 |
| 2D and 3D U-Nets for skull stripping in a large and heterogeneous set of head MRI using fastai S Kaliyugarasan, M Kocinski, A Lundervold, AS Lundervold Bibsys Open Journal Systems, 2020 | 5 | 2020 |
| fastMONAI: A low-code deep learning library for medical image analysis S Kaliyugarasan, AS Lundervold Software Impacts 18, 100583, 2023 | 4 | 2023 |
| LAB-Net: Lidar and aerial image-based building segmentation using U-Nets S Kaliyugarasan, AS Lundervold Nordic Machine Intelligence 2 (3), 2022 | 4 | 2022 |
| Brain age versus chronological age: A large scale mri and deep learning investigation S Kaliyugarasan, A Lundervold, AS Lundervold European Congress of Radiology-ECR 2020, 2020 | 3 | 2020 |
| Deep transfer learning in medical imaging SK Kaliyugarasan The University of Bergen, 2019 | 3 | 2019 |
| Multi-center CNN-based spine segmentation from T2w MRI using small amounts of data S Kaliyugarasan, MH Dagestad, EI Papalini, E Andersen, JA Zwart, ... 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023 | 1 | 2023 |
| Deep learning in medical image analysis: Efficient use of data and radiological expertise SK Kaliyugarasan Høgskulen på Vestlandet, 2023 | | 2023 |
Alexander Lundervold(1) Western Norway University of Applied Sciences. (2) MMIV, Haukeland University Hospital.在 hvl.no 的电子邮件经过验证
