| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Artificial Intelligence and Machine Learning in Nuclear Medicine: Future Perspectives
|
Seifert, Robert
|
|
|
51 |
2 |
p. 170-177
|
artikel
|
| 2 |
Artificial Intelligence for Optimization and Interpretation of PET/CT and PET/MR Images
|
Zaharchuk, Greg
|
|
|
51 |
2 |
p. 134-142
|
artikel
|
| 3 |
Artificial Intelligence for Response Evaluation With PET/CT
|
Wei, Lise
|
|
|
51 |
2 |
p. 157-169
|
artikel
|
| 4 |
Artificial Intelligence for the Characterization of Pulmonary Nodules, Lung Tumors and Mediastinal Nodes on PET/CT
|
Krarup, Marie Manon Krebs
|
|
|
51 |
2 |
p. 143-156
|
artikel
|
| 5 |
Coronavirus Disease 2019 (COVID-19) in Molecular Imaging: A Systematic Review of Incidental Detection of SARS-CoV-2 Pneumonia on PET Studies
|
Rafiee, Faranak
|
|
|
51 |
2 |
p. 178-191
|
artikel
|
| 6 |
Ethical and Legal Challenges of Artificial Intelligence in Nuclear Medicine
|
Currie, Geoffrey
|
|
|
51 |
2 |
p. 120-125
|
artikel
|
| 7 |
How to Design AI-Driven Clinical Trials in Nuclear Medicine
|
Delso, Gaspar
|
|
|
51 |
2 |
p. 112-119
|
artikel
|
| 8 |
Intelligent Imaging in Nuclear Medicine: the Principles of Artificial Intelligence, Machine Learning and Deep Learning
|
Currie, Geoffrey
|
|
|
51 |
2 |
p. 102-111
|
artikel
|
| 9 |
Letter from the Editors
|
Bouchelouche, Kirsten
|
|
|
51 |
2 |
p. 99-101
|
artikel
|
| 10 |
Radiomics in PET/CT: Current Status and Future AI-Based Evolutions
|
Hatt, Mathieu
|
|
|
51 |
2 |
p. 126-133
|
artikel
|
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