AI-based synthetic CT generation from MR images : a promising technique in lumbar spine and pelvic bone imaging
(2023)
- Author
- Lieve Morbée (UGent)
- Promoter
- Lennart Jans (UGent) and Nele Herregods (UGent)
- Organization
Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-01HC057XXYPZC9TMFMYW3XTCBF
- MLA
- Morbée, Lieve. AI-Based Synthetic CT Generation from MR Images : A Promising Technique in Lumbar Spine and Pelvic Bone Imaging. Ghent University. Faculty of Medicine and Health Sciences, 2023.
- APA
- Morbée, L. (2023). AI-based synthetic CT generation from MR images : a promising technique in lumbar spine and pelvic bone imaging. Ghent University. Faculty of Medicine and Health Sciences, Ghent, Belgium.
- Chicago author-date
- Morbée, Lieve. 2023. “AI-Based Synthetic CT Generation from MR Images : A Promising Technique in Lumbar Spine and Pelvic Bone Imaging.” Ghent, Belgium: Ghent University. Faculty of Medicine and Health Sciences.
- Chicago author-date (all authors)
- Morbée, Lieve. 2023. “AI-Based Synthetic CT Generation from MR Images : A Promising Technique in Lumbar Spine and Pelvic Bone Imaging.” Ghent, Belgium: Ghent University. Faculty of Medicine and Health Sciences.
- Vancouver
- 1.Morbée L. AI-based synthetic CT generation from MR images : a promising technique in lumbar spine and pelvic bone imaging. [Ghent, Belgium]: Ghent University. Faculty of Medicine and Health Sciences; 2023.
- IEEE
- [1]L. Morbée, “AI-based synthetic CT generation from MR images : a promising technique in lumbar spine and pelvic bone imaging,” Ghent University. Faculty of Medicine and Health Sciences, Ghent, Belgium, 2023.
@phdthesis{01HC057XXYPZC9TMFMYW3XTCBF,
author = {{Morbée, Lieve}},
language = {{eng}},
pages = {{177}},
publisher = {{Ghent University. Faculty of Medicine and Health Sciences}},
school = {{Ghent University}},
title = {{AI-based synthetic CT generation from MR images : a promising technique in lumbar spine and pelvic bone imaging}},
year = {{2023}},
}