A Quantitative QT Hysteresis Model. - David W. Mortara; Fabio Badilini (CinC, 2014)

Proof of Concept for an International Long-Time Preservation ECG Format. - Roberto Sassi; Luca Sparagino; Norman L. Stockbridge; Juan M. Guadiana; Fabio Badilini (CinC, 2014)

Study of ECG Quality using Self Learning Techniques. - Gianfranco Toninelli; Alfonso Gerevini; Ivan Serina; Martino Vaglio; Fabio Badilini (CinC, 2014)

SCP-ECG V3.0: An enhanced Standard Communication Protocol for computer-assisted Electrocardiography. - Paul Rubel; Danilo Pani; Alois Schlögl; Jocelyne Fayn; Fabio Badilini; Peter W. Macfarlane; Alpo Värri (CinC, 2016)

Parsing HL7 aECG Files and Segmenting Leads for Interactive Progressive-based Interpretation of the 12-Lead Electrocardiogram. - Andrew W. Cairns; Raymond R. Bond; Dewar D. Finlay; Daniel Guldenring; Aaron J. Peace; Fabio Badilini; Guido Libretti (CinC, 2017)

CER-S, an ECG Platform for the Management of Continuous ECG Recordings and Databases. - Martino Vaglio; Pierre Maison-Blanche; Gianfranco Toninelli; Lamberto Isola; Francesca Ferrari; Fabio Badilini (CinC, 2022)

Quantifying Uncertainty of a Deep Learning Model for Atrial Fibrillation Detection from ECG Signals. - Md. Moklesur Rahman; Massimo Walter Rivolta; Fabio Badilini; Roberto Sassi (CinC, 2023)

A Systematic Survey of Data Augmentation of ECG Signals for AI Applications. - Md. Moklesur Rahman; Massimo Walter Rivolta; Fabio Badilini; Roberto Sassi (Sensors, 2023)

Early warning of atrial fibrillation using deep learning. - Marino E. Gavidia; Hongling Zhu; Arthur N. Montanari; Jesús Fuentes; Cheng Cheng; Sergio Dubner; Martin Chames; Pierre Maison-Blanche; Md. Moklesur Rahman; Roberto Sassi; Fabio Badilini; Yinuo Jiang; et al. (Patterns, 2024)