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Viser treff 1-10 av 10

2022
1 Roald, Marie; Moe, Yngve Mardal.
TLViz: Visualising and analysing tensor decomposition models with Python. Journal of Open Source Software (JOSS) 2022 ;Volum 7.(79)
OSLOMET Untitled
 
2021
2 Grøndahl, Aurora Rosvoll; Huynh, Bao Ngoc; Moe, Yngve Mardal; Kaushal, Christine Kiran; Rusten, Espen; Tomic, Oliver; Hernes, Eivor; Hanekamp, Bettina; Undseth, Christine; Guren, Marianne; Dale, Einar; Malinen, Eirik; Futsæther, Cecilia Marie.
Deep learning for automatic target volume delineation. NACP 2020/21; 2021-04-11 - 2021-04-13
NMBU OUS UiO Untitled
 
3 Grøndahl, Aurora Rosvoll; Huynh, Bao Ngoc; Moe, Yngve Mardal; Kaushal, Christine Kiran; Rusten, Espen; Tomic, Oliver; Hernes, Eivor; Hanekamp, Bettina; Undseth, Christine; Guren, Marianne; Malinen, Eirik; Futsæther, Cecilia Marie.
Deep learning-based automatic delineation of anal cancer gross tumour volume: A multimodality comparison of CT, PET and MRI. BiGART 2021 - Norwegian event; 2021-10-05 - 2021-10-05
NMBU UiO OUS Untitled
 
4 Grøndahl, Aurora Rosvoll; Huynh, Bao Ngoc; Moe, Yngve Mardal; Kaushal, Christine Kiran; Rusten, Espen; Tomic, Oliver; Hernes, Eivor; Hanekamp, Bettina; Undseth, Christine; Guren, Marianne; Malinen, Eirik; Futsæther, Cecilia Marie.
Deep learning-based automatic delineation of anal cancer gross tumour volume: A multimodality comparison of CT,PET and MRI. BiGART 2021; 2021-10-06 - 2021-10-06
UiO NMBU OUS Untitled
 
5 Grøndahl, Aurora Rosvoll; Knudtsen, Ingerid Skjei; Huynh, Bao Ngoc; Mulstad, Martine; Moe, Yngve Mardal; Knuth, Franziska; Tomic, Oliver; Indahl, Ulf Geir; Torheim, Turid Katrine Gjerstad; Dale, Einar; Malinen, Eirik; Futsæther, Cecilia Marie.
A comparison of methods for fully automatic segmentation of tumors and involved nodes in PET/CT of head and neck cancers. Physics in Medicine and Biology 2021 ;Volum 66.(6) s. -
NMBU OUS NTNU UiO Untitled
 
6 Grøndahl, Aurora Rosvoll; Moe, Yngve Mardal; Kaushal, Christine Kiran; Huynh, Bao Ngoc; Rusten, Espen; Tomic, Oliver; Hernes, Eivor; Hanekamp, Bettina; Undseth, Christine; Guren, Marianne Grønlie; Malinen, Eirik; Futsæther, Cecilia Marie.
Deep learning-based automatic delineation of anal cancer gross tumour volume: a multimodality comparison of CT, PET and MRI. Acta Oncologica 2021 ;Volum 61.(1) s. 89-96
NMBU OUS UiO Untitled
 
7 Huynh, Bao Ngoc; Grøndahl, Aurora Rosvoll; Moe, Yngve Mardal; Tomic, Oliver; Dale, Einar; Malinen, Eirik; Futsæther, Cecilia Marie.
Deep learning for automatic segmentation of head and neck cancers in PET/CT images: the simpler, the better. BiGART 2021; 2021-10-05 - 2021-10-06
UiO NMBU NOFIMA OUS Untitled
 
8 Moe, Yngve Mardal; Grøndahl, Aurora Rosvoll; Tomic, Oliver; Dale, Einar; Malinen, Eirik; Futsæther, Cecilia Marie.
Deep learning-based auto-delineation of gross tumour volumes and involved nodes in PET/CT images of head and neck cancer patients. European Journal of Nuclear Medicine and Molecular Imaging 2021 ;Volum 48. s. 2782-2792
NMBU OUS UiO Untitled
 
2019
9 Grøndahl, Aurora Rosvoll; Knudtsen, Ingerid Skjei; Mulstad, Martine; Tomic, Oliver; Moe, Yngve Mardal; Indahl, Ulf Geir; Torheim, Turid Katrine Gjerstad; Dale, Einar; Malinen, Eirik; Futsæther, Cecilia Marie.
Automatic tumour delineation of head and neck cancers in PET/CT images using thresholding and machine learning methods. BiGART2019; 2019-05-22 - 2019-05-24
UiO OUS NMBU Untitled
 
10 Grøndahl, Aurora Rosvoll; Mulstad, Martine; Moe, Yngve Mardal; Knudtsen, Ingerid Skjei; Torheim, Turid Katrine Gjerstad; Tomic, Oliver; Indahl, Ulf Geir; Malinen, Eirik; Dale, Einar; Futsæther, Cecilia Marie.
Comparison of automatic tumour segmentation approaches for head and neck cancers in PET/CT images. Radiotherapy and Oncology 2019 ;Volum 133. Suppl. 1 s. 557-557
UiO NMBU OUS Untitled