ORCA
Online Research @ CardiffÂ
Browse by Current Cardiff authors
![[up]](/style/images/multi_up.png)
Up a levelNumber of items: 3.
Mehranian, Abolfazl, Wollenweber, Scott D., Bradley, Kevin M.  ORCID: https://orcid.org/0000-0003-1911-3382, Fielding, Patrick A., Huellner, Martin, Iagaru, Andrei, Dedja, Meghi, Colwell, Theodore, Kotasidis, Fotis, Johnsen, Robert, Jansen, Floris P. and McGowan, Daniel R.
2025.
Deep learning-based time-of-flight (ToF) enhancement of non-ToF PET scans for different radiotracers.
European Journal of Nuclear Medicine and Molecular Imaging
52
, pp. 2968-2978.
10.1007/s00259-025-07119-z
|
|
|
Staffurth, John ORCID: https://orcid.org/0000-0002-7834-3172, Mukherjee, Saptarshi, Fielding, Patrick, Renninson, Emily and Rees, John I.
2025.
Real-world experience of 18F-PSMA-1007 PET-CT scanning for initial staging of high-risk non-metastatic prostate cancer: scan results and treatment decisions.
Clinical Oncology
, 103900.
10.1016/j.clon.2025.103900
Item availability restricted. |
|
|
|
Dedja, Meghi, Mehranian, Abolfazl, Bradley, Kevin M. ORCID: https://orcid.org/0000-0003-1911-3382, Walker, Matthew D., Fielding, Patrick A., Wollenweber, Scott D., Johnsen, Robert and McGowan, Daniel R.
2024.
Sequential deep learning image enhancement models improve diagnostic confidence, lesion detectability, and image reconstruction time in PET.
EJNMMI Physics
11
(1)
, 28.
10.1186/s40658-024-00632-4
|
|
|