nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
Abnormal [18F]fluorodeoxyglucose accumulation to tori tubarius in IgG4-related disease
|
Nagahata, Ken |
|
|
36 |
2 |
p. 200-207 |
artikel |
2 |
Acknowledgements to Reviewers
|
|
|
|
36 |
2 |
p. 208-211 |
artikel |
3 |
Application of artificial intelligence in brain molecular imaging
|
Minoshima, Satoshi |
|
|
36 |
2 |
p. 103-110 |
artikel |
4 |
A review on AI in PET imaging
|
Matsubara, Keisuke |
|
|
36 |
2 |
p. 133-143 |
artikel |
5 |
Artificial intelligence for nuclear medicine in oncology
|
Hirata, Kenji |
|
|
36 |
2 |
p. 123-132 |
artikel |
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 |
artikel |
7 |
New standards for phantom image quality and SUV harmonization range for multicenter oncology PET studies
|
Akamatsu, Go |
|
|
36 |
2 |
p. 144-161 |
artikel |
8 |
Prediction of HER2 expression in breast cancer by combining PET/CT radiomic analysis and machine learning
|
Chen, Yiwen |
|
|
36 |
2 |
p. 172-182 |
artikel |
9 |
Predictive value of SPECT myocardial perfusion imaging in patients with unrevascularized coronary chronic total occlusion
|
Ma, Xinghong |
|
|
36 |
2 |
p. 191-199 |
artikel |
10 |
Radiotherapy planning of lymphomas: role of metabolic imaging with PET/CT
|
McKay, Michael J. |
|
|
36 |
2 |
p. 162-171 |
artikel |
11 |
The application of artificial intelligence in nuclear cardiology
|
Otaki, Yuka |
|
|
36 |
2 |
p. 111-122 |
artikel |