| A comparison of methods for fully automatic segmentation of tumors and involved nodes in PET/CT of head and neck cancers AR Groendahl, IS Knudtsen, BN Huynh, M Mulstad, YM Moe, F Knuth, ... Physics in Medicine & Biology 66 (6), 065012, 2021 | 41 | 2021 |
| Deep learning for automatic tumour segmentation in PET/CT images of patients with head and neck cancers YM Moe, AR Groendahl, M Mulstad, O Tomic, U Indahl, E Dale, E Malinen, ... Medical Imaging with Deep Learning, 2019 | 35 | 2019 |
| Deep learning-based auto-delineation of gross tumour volumes and involved nodes in PET/CT images of head and neck cancer patients YM Moe, AR Groendahl, O Tomic, E Dale, E Malinen, CM Futsaether European journal of nuclear medicine and molecular imaging 48, 2782-2792, 2021 | 29 | 2021 |
| Deep learning for automatic delineation of tumours from PET/CT images YM Moe Norwegian University of Life Sciences, Ås, 2019 | 6 | 2019 |
| Deep learning-based automatic delineation of anal cancer gross tumour volume: a multimodality comparison of CT, PET and MRI AR Groendahl, YM Moe, CK Kaushal, BN Huynh, E Rusten, O Tomic, ... Acta Oncologica 61 (1), 89-96, 2022 | 3 | 2022 |
| TLViz: Visualising and analysing tensor decomposition models with Python M Roald, YM Moe | 1 | 2022 |
| PO-1655 Tuning deep learning models for automatic segmentation of head and neck cancers in PET/CT images BN Huynh, AR Groendahl, YM Moe, O Tomic, E Dale, E Malinen, ... Radiotherapy and Oncology 161, S1374-S1376, 2021 | | 2021 |
| Comparison of automatic tumour segmentation approaches for head and neck cancers in PET/CT images AR Groendahl, M Mulstad, YM Moe, IS Knudtsen, T Torheim, O Tomic, ... Radiotherapy and Oncology 133, S557-S557, 2019 | | 2019 |
