| Non-invasive differentiation of idiopathic inflammatory myopathy with cardiac involvement from acute viral myocarditis using cardiovascular magnetic resonance imaging T1 and T2 … AT Huber, M Bravetti, JΩ Lamy, T Bacoyannis, C Roux, A de Cesare, ... Journal of Cardiovascular Magnetic Resonance 20 (1), 11, 2018 | 58 | 2018 |
| Comparison of MR T1 and T2 mapping parameters to characterize myocardial and skeletal muscle involvement in systemic idiopathic inflammatory myopathy (IIM) AT Huber, J Lamy, M Bravetti, K Bouazizi, T Bacoyannis, C Roux, ... European radiology 29, 5139-5147, 2019 | 29 | 2019 |
| Deep learning formulation of ECGI for data-driven integration of spatiotemporal correlations and imaging information T Bacoyannis, J Krebs, N Cedilnik, H Cochet, M Sermesant Functional Imaging and Modeling of the Heart: 10th International Conference …, 2019 | 23 | 2019 |
| Deep learning formulation of electrocardiographic imaging integrating image and signal information with data-driven regularization T Bacoyannis, B Ly, N Cedilnik, H Cochet, M Sermesant EP Europace 23 (Supplement_1), i55-i62, 2021 | 16 | 2021 |
| Deep learning formulation of ECGI evaluated on clinical data T Bacoyannis, B Ly, H Cochet, M Sermesant Europace 24 (Supplement_1), euac053. 566, 2022 | 2 | 2022 |
| T1 mapping-derived signature of myocardial involvement in idiopathic inflammatory myopathy compared to acute viral myocarditis: a texture-based analysis E Bollache, AT Huber, J Lamy, E Afari, TM Bacoyannis, A De Cesare, ... European Heart Journal-Cardiovascular Imaging 22 (Supplement_1), jeaa356. 314, 2021 | 1 | 2021 |
| Studying the relation between post-infarction ventricular arrhythmia and left ventricular myocardium thinning on computed tomography images using explainable deep learning B Ly, S Finsterbach, M Nunez Garcia, T Bacoyannis, N Cedilnik, S Sridi, ... Europace 24 (Supplement_1), euac053. 560, 2022 | | 2022 |
| DH-575-03 EXPLORING THE RELATIONSHIP BETWEEN LEFT VENTRICULAR WALL THINNING AND POST-INFARCTION VENTRICULAR ARRHYTHMIA USING EXPLAINABLE DEEP LEARNING ON COMPUTED TOMOGRAPHY IMAGES LY Buntheng, S Finsterbach, MN Garcia, T Bacoyannis, N Cedilnik, ... Heart Rhythm 19 (5), S21-S22, 2022 | | 2022 |
| Deep probabilistic generative model for the inverse problem of electrocardiography T Bacoyannis Université Côte d'Azur, 2021 | | 2021 |
| Deep Learning Formulation of ECGI Integrating Image & Signal Information with Data-driven Regularisation T Bacoyannis, B Ly, N Cedilnik, H Cochet, M Sermesant | | |
