RIVOLTA, MASSIMO WALTER
RIVOLTA, MASSIMO WALTER
Dipartimento di Informatica Giovanni Degli Antoni
Uncertainty estimation of deep learning models for atrial fibrillation detection from Holter recordings: A benchmark study
2026 M.M. Rahman, M.W. Rivolta, F. Badilini, R. Sassi
Transforming Normal ECG to Myocardial Infarction Ones using Invertible Conditional GANs
2025 S. Battiston, R. Sassi, M.W. Rivolta
Biomarker Investigation Using Multiple Brain Measures from MRI Through Explainable Artificial Intelligence in Alzheimer’s Disease Classification
2025 D. Coluzzi, V. Bordin, M.W. Rivolta, I. Fortel, L. Zhan, A. Leow, G. Baselli
Visiting a loved one in the ICU with the aid of dedicated booklets is associated with reduced separation anxiety in children and adolescents
2025 G. Lamiani, F. Bonazza, M. Maxia, M.W. Rivolta, G. Mistraletti, E. Vegni
Residual-attention deep learning model for atrial fibrillation detection from Holter recordings
2025 M.M. Rahman, M.W. Rivolta, M. Vaglio, P. Maison-Blanche, F. Badilini, R. Sassi
F-wave sway in paroxysmal and chronic atrial fibrillation
2025 A. Sbrollini, M.W. Rivolta, P. Van Dam, E. Viani, M. Morettini, R. Sassi, L. Burattini, E.T. Locati
Centrality Measures from Directed Network Mapping Identify Reentries Suggesting Different Mechanisms of Atrial Flutter
2024 D. Coluzzi, M.W. Rivolta, M. Mancini, L. Anna Unger, A. Luik, A. Loewe, R. Sassi
Machine Learning approaches for the design of biomechanically compatible bone tissue engineering scaffolds
2024 S. Ibrahimi, L. D’Andrea, D. Gastaldi, M.W. Rivolta, P. Vena
Phase-Rectified Signal Variance Series and its Values for a Stationary Gaussian Process
2024 M.W. Rivolta, R. Sassi
Evidential Deep Learning Model for Atrial Fibrillation Detection from Holter Recordings
2024 M. Moklesur Rahman, M.W. Rivolta, P. Maison Blanche, F. Badilini, R. Sassi
Identification of Electrocardiographic Patterns Related to Mortality with COVID-19
2024 A. Sbrollini, C. Leoni, M. Morettini, M.W. Rivolta, C.A. Swenne, L. Mainardi, L. Burattini, R. Sassi
Adversarial Multitask Learning Reduces the Correlation between Age and Deep Learning Predictions of Myocardial Infarction from Electrocardiograms
2024 S. Ibrahimi, M.W. Rivolta, R. Sassi
Evaluating the Quality of CycleGAN Generated ECG Data for Myocardial Infarction Classification
2024 S. Battiston, R. Sassi, M.W. Rivolta
Minimal Preprocessing of ECG Signals for Deep Learning-Based Biometric Systems
2024 Z. Mizgalewicz, C.R. Cuenca, M.W. Rivolta, R.D. Labati, F. Scotti, V. Piuri, R. Sassi
A Systematic Survey of Data Augmentation of ECG Signals for AI Applications
2023 M.M. Rahman, M.W. Rivolta, F. Badilini, R. Sassi
Recovery from Coma after Cardiac Arrest: Which Time-Window Counts the Most for Deep Learning Predictions?
2023 F. Uslenghi, R. Sassi, M.W. Rivolta
Injecting Domain Knowledge in Deep Learning Models for Automatic Identification of Myocardial Infarction from Electrocardiograms
2023 S. Ibrahimi, M.W. Rivolta, R. Sassi
Predicting human cardiac QT alterations and pro-arrhythmic effects of compounds with a 3D beating heart-on-chip platform
2023 R. Visone, F. Lozano-Juan, S. Marzorati, M.W. Rivolta, E. Pesenti, A. Redaelli, R. Sassi, M. Rasponi, P. Occhetta
Recommender system for ablation lines to treat complex atrial tachycardia
2023 M. Vila, M.W. Rivolta, C.A. Barrios Espinosa, L.A. Unger, A. Luik, A. Loewe, R. Sassi
Explainable AI Points to White Matter Hyperintensities for Alzheimer's Disease Identification: a Preliminary Study
2022 V. Bordin, D. Coluzzi, M.W. Rivolta, G. Baselli