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You searched for: Author/Creator Kafouris, P

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1. Arterial stiffness improves with effective chemotherapy in patients with lymphoma. (14th October 2021)

2. Association of arterial inflammation as assessed by 18FDG-PET/CT and chemotherapy, in patients with lymphoma. (14th October 2021)

3. CCTA-derived functional and morphological features and their comparative performance in predicting impaired coronary vasodilatation by PET-myocardial perfusion imaging. (8th February 2021)

4. Coronary CT angiography derived features for predicting an abnormal pet myocardial perfusion imaging: a machine learning approach. (25th November 2020)

5. Effect of 1st line treatment on aortic inflammation as assessed by 18 FDG PET/CT in patients with Hodgkin and non-Hodgkin lymphoma. (3rd October 2022)

6. Prediction of impaired myocardial blood flow (MBF) with the use of machine learning techniques on CTCA based parameters. (8th February 2021)

7. Radiomics-based analysis by machine learning techniques improves characterization of functionally significant coronary lesions. (3rd October 2022)

8. Relationship between endothelial shear stress, plaque burden and stenosis severity and their comparative performance in predicting impaired coronary vasodilation by pet myocardial perfusion imaging. (25th November 2020)

9. Severity and type of lymphoma are associated with aortic 18-fluorodeoxyglucose (FDG) positron emission tomographic uptake assessed by FDG PET/CT imaging. (25th November 2020)

10. The effects of chemotherapy on arterial inflammation assessed by 18 FDG PET-CT in patients with Lymphoma. (25th November 2020)