| Deep Generative Models: The winning key for large and easily accessible ECG datasets? G Monachino, B Zanchi, L Fiorillo, G Conte, A Auricchio, A Tzovara, ... Computers in biology and medicine, 107655, 2023 | 9 | 2023 |
| Identification of Brugada syndrome based on P-wave features: an artificial intelligence-based approach B Zanchi, FD Faraci, A Gharaviri, M Bergonti, T Monga, A Auricchio, ... Europace 25 (11), euad334, 2023 | 9 | 2023 |
| Synthetic ECG signals generation: A scoping review B Zanchi, G Monachino, L Fiorillo, G Conte, A Auricchio, A Tzovara, ... Computers in Biology and Medicine 184, 109453, 2025 | | 2025 |
| Overcoming data scarcity in life-threatening arrhythmia detection: A deep learning framework for life-saving interventions G Monachino, B Zanchi, M Wand, G Conte, A Tzovara, F Faraci | | 2024 |
| Introducing a Comprehensive Framework for Synthetic ECG Validation: Application to Brugada Syndrome B Zanchi, G Monachino, M Metaldi, G Conte, A Tzovara, S Meystre, ... Authorea Preprints, 2024 | | 2024 |
