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Author/Creator Giannopoulos, A

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

Authors:
Kalykakis, G; Antonopoulos, A; Pitsariotis, T; Siogkas, P; Exarchos, T; Kafouris, P; Liga, R; Giannopoulos, A; Scolte, A; Kaufmann, P; Parodi, O; Knuuti, J; Fotiadis, D; Neglia, D; Anagnostopoulos, C
Journal:
European heart journal
Issue:
Volume 22(2021)Supplement 1
Page Start:
Record Type:
Journal Article
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2. Coronary CT angiography derived features for predicting an abnormal pet myocardial perfusion imaging: a machine learning approach. (25th November 2020)

Authors:
Kafouris, P; Kalykakis, G; Antonopoulos, A; Siogkas, P; Liga, R; Thomas, P; Giannopoulos, A; Scolte, A; Kaufmann, P; Pelosi, G; Parodi, O; Knuuti, J; Fotiadis, D; Neglia, D; Anagnostopoulos, C
Journal:
European heart journal
Issue:
Volume 41:(2020)Supplement 2
Page Start:
Record Type:
Journal Article
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4. E2F-1 overexpression correlates with decreased proliferation and better prognosis in adenocarcinomas of Barrett oesophagus. Issue 5 (1st October 2007)

Authors:
Evangelou, K; Kotsinas, A; Mariolis-Sapsakos, T; Giannopoulos, A; Tsantoulis, P K; Constantinides, C; Troupis, T G; Salmas, M; Kyroudis, A; Kittas, C; Gorgoulis, V G
Journal:
Journal of clinical pathology
Issue:
Volume 61:Issue 5(2008)
Page Start:
601
Record Type:
Journal Article
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5. Prediction of impaired myocardial blood flow (MBF) with the use of machine learning techniques on CTCA based parameters. (8th February 2021)

Authors:
Kalykakis, G; Kafouris, P; Antonopoulos, A; Pitsariotis, T; Siogkas, P; Exarchos, T; Liga, R; Giannopoulos, A; Scholte, A; Kaufmann, P; Parodi, O; Knuuti, J; Fotiadis, D; Neglia, D; Anagnostopoulos, C
Journal:
European heart journal
Issue:
Volume 22(2021)Supplement 1
Page Start:
Record Type:
Journal Article
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Available online (eLD content is only available in our Reading Rooms) ↗

6. 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)

Authors:
Anagnostopoulos, C; Kalykakis, G; Antonopoulos, A; Siogkas, P; Manniittyy, T; Kafouris, P; Liga, R; Giannopoulos, A; Scolte, A; Kaufmann, P; Pelosi, G; Parodi, O; Knuuti, J; Fotiadis, D; Neglia, D
Journal:
European heart journal
Issue:
Volume 41:(2020)Supplement 2
Page Start:
Record Type:
Journal Article
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Available online (eLD content is only available in our Reading Rooms) ↗

7. Validation and diagnostic performance of a fast on-site deep learning-based CT-FFR algorithm. (3rd October 2022)

Authors:
Giannopoulos, A; Keller, L K; Sepulcri, D S; Boehm, R B; Garefa, C G; Tsinaridis, A T; Sager, D S; Venugopal, P V; Mitra, J M; Ghose, S G; Pack, J D P; Davis, C L D; Edic, P M E; Kaufmann, P A K; Buechel, R R B
Journal:
European heart journal
Issue:
Volume 43(2022)Supplement 2
Page Start:
Record Type:
Journal Article
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Available online (eLD content is only available in our Reading Rooms) ↗