| no |
title |
author |
magazine |
year |
volume |
issue |
page(s) |
type |
| 1 |
Abnormal [18F]fluorodeoxyglucose accumulation to tori tubarius in IgG4-related disease
|
Nagahata, Ken
|
|
|
36 |
2 |
p. 200-207
|
article
|
| 2 |
Acknowledgements to Reviewers
|
|
|
|
36 |
2 |
p. 208-211
|
article
|
| 3 |
Application of artificial intelligence in brain molecular imaging
|
Minoshima, Satoshi
|
|
|
36 |
2 |
p. 103-110
|
article
|
| 4 |
A review on AI in PET imaging
|
Matsubara, Keisuke
|
|
|
36 |
2 |
p. 133-143
|
article
|
| 5 |
Artificial intelligence for nuclear medicine in oncology
|
Hirata, Kenji
|
|
|
36 |
2 |
p. 123-132
|
article
|
| 6 |
Feasibility of ultra-high-speed acquisition in xSPECT bone algorithm: a phantom study with advanced bone SPECT-specific phantom
|
Ichikawa, Hajime
|
|
|
36 |
2 |
p. 183-190
|
article
|
| 7 |
New standards for phantom image quality and SUV harmonization range for multicenter oncology PET studies
|
Akamatsu, Go
|
|
|
36 |
2 |
p. 144-161
|
article
|
| 8 |
Prediction of HER2 expression in breast cancer by combining PET/CT radiomic analysis and machine learning
|
Chen, Yiwen
|
|
|
36 |
2 |
p. 172-182
|
article
|
| 9 |
Predictive value of SPECT myocardial perfusion imaging in patients with unrevascularized coronary chronic total occlusion
|
Ma, Xinghong
|
|
|
36 |
2 |
p. 191-199
|
article
|
| 10 |
Radiotherapy planning of lymphomas: role of metabolic imaging with PET/CT
|
McKay, Michael J.
|
|
|
36 |
2 |
p. 162-171
|
article
|
| 11 |
The application of artificial intelligence in nuclear cardiology
|
Otaki, Yuka
|
|
|
36 |
2 |
p. 111-122
|
article
|
Journal description