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1. The impact of introducing deep learning based [18F]FDG PET denoising on EORTC and PERCIST therapeutic response assessments in digital PET/CT

2. Artificial intelligence-based 68Ga-DOTATOC PET denoising for optimizing 68Ge/68Ga generator use throughout its lifetime

3. Deep Learning Denoising Improves and Homogenizes Patient [18F]FDG PET Image Quality in Digital PET/CT

5. Prediction of the Presence of Targetable Molecular Alteration(s) with Clinico-Metabolic 18 F-FDG PET Radiomics in Non-Asian Lung Adenocarcinoma Patients

6. Radioimmunotherapy for Brain Metastases: The Potential for Inflammation as a Target of Choice

7. The Impact of Artificial Intelligence CNN Based Denoising on FDG PET Radiomics

8. Artificial intelligence-based PET denoising could allow a two-fold reduction in [18F]FDG PET acquisition time in digital PET/CT

9. Author Gender Inequality in Medical Imaging Journals and the COVID-19 Pandemic

10. Artificial intelligence-based PET denoising could allow a two-fold reduction in [

11. More fat, less migration: breast density as a predictor of sentinel lymph node non-visualization in breast cancer

12. Gated 18F-FDG PET/CT of the Lung Using a Respiratory Spirometric Gating Device: A Feasibility Study

13. The Impact of Patient’s Body Habitus on PET Image Quality in Digital and Analogic PET/CT

14. Qualitative agreement and diagnostic performance of arterial spin labelling MRI and FDG PET-CT in suspected early-stage dementia

15. Gated

16. Failure of Classical β-Blocker Carvedilol to Deactivate Brown Adipose Tissue in a Patient With Pheochromocytoma

17. Complete Metabolic Response of Advanced Melanoma to Vemurafenib Assessed with FDG-PET-CT at 85 Hours

18. Qualitative agreement and diagnostic performance of arterial spin labelling MRI and FDG PET-CT in suspected early-stage dementia: Comparison of arterial spin labelling MRI and FDG PET-CT in suspected dementia

19. Dynamic Scintigraphy With SPECT-CT of Postoperative Salivary Leak

20. Comparison of an alternative and existing binning methods to reduce the acquisition duration of 4D PET/CT

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