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 View Content: Available online (eLD content is only available in our Reading Rooms) ↗
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 View Content: Available online (eLD content is only available in our Reading Rooms) ↗
3. P6407A new method for the correct evaluation of wall shear stress in bifurcations: fusion of three-dimensional angiography and two-vessel OCT. (28th August 2018) Authors: Karanasos, A; Toutouzas, K; Andrikos, I; Sakellarios, A; Siogkas, P; Rigas, G; Synetos, A; Latsios, G; Tsiamis, E; Michalis, L; Fotiadis, D; Tousoulis, D Journal: European heart journal Issue: Volume 39(2018)Supplement 1 Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
4. Prediction of all-cause mortality in cardiovascular patients by using machine learning models. (3rd October 2022) Authors: Tsarapatsani, K; Pezoulas, V; Sakellarios, A; Tsakanikas, V; Marz, W; Kleber, M; Michalis, L; Fotiadis, D Journal: European heart journal Issue: Volume 43(2022)Supplement 2 Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
5. Prediction of depression among patients with cardiovascular disease scheduled cardiac surgery using an AI-empowered pipeline. (3rd October 2022) Authors: Pezoulas, V; Nowakowska, K; Kazmierski, J; Fotiadis, D; Sakellarios, A Journal: European heart journal Issue: Volume 43(2022)Supplement 2 Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
6. 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 View Content: Available online (eLD content is only available in our Reading Rooms) ↗
7. 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 View Content: Available online (eLD content is only available in our Reading Rooms) ↗