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
Investigation of plasma-derived extracellular vesicles in hypertrophic cardiomyopathy patients
2026 A.S. Rizzuto, A. Faggiano, C. Macchi, I. Fichtner, D. Bianchi, A. Mallia, E. Gnan, F. Tafuri, A. Pandolfi, M. Baroni, S. Paganini, R. Meazza, I. Giusti, V. Dolo, P. Castronovo, P. Finelli, A. Corsini, M. Vicenzi, R. Sassi, C. Banfi, M.W. Rivolta, M. Calcagnino, S. Carugo, M. Ruscica
Toward Sequential Omnipolar Mapping: Effect of Inter-Beat Variability in a 2D Simulation Study
2026 F. Maffezzoli, R. Sassi, M.W. Rivolta
An end-to-end generative pipeline for designing Triply-Periodic Minimal Surface scaffolds
2026 F. Maffezzoli, L. D'Andrea, P. Vena, N. Scarabottolo, R. Sassi, M. Rivolta
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
Inverse Design of Scaffolds for Bone Tissue Engineering using Artificial Neural Networks and Generative Additive Models
2025 A. Bhensdadia, S. Ibrahimi, F. Maffezzoli, M.W. Rivolta
Spatial variability of catheter positions affects omnipolar mapping in 2D atrial sheet simulations
2025 J.F. Kroener, F. Maffezzoli, R. Sassi, M.W. Rivolta
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
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
Transfer Learning for ECG-Based Age Estimation from Adult to Pediatric Populations
2025 S. Battiston, N. Gonzato, M.M. Rahman, M.W. Rivolta, A. Sanzo, I. Raso, S. Santacesaria, G. Zuccotti, S. Mannarino, R. Sassi
Transforming Normal ECG to Myocardial Infarction Ones using Invertible Conditional GANs
2025 S. Battiston, R. Sassi, M.W. Rivolta
Invertible conditional generative adversarial networks to effectively generate myocardial infarction from normal ECG
2025 S. Battiston, R. Sassi, M.W. Rivolta
Artificial Intelligence in Pediatric Electrocardiogram Analysis: Sex and Age Estimation Across Puberty
2025 M.M. Rahman, S. Battiston, M.W. Rivolta, A. Sanzo, I. Raso, S. Santacesaria, G. Zuccotti, S. Mannarino, 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
A Comparative Study of Clinical Rule-Based and Deep Learning-Based Diagnosis for Myocardial Infarction Detection Using Electrocardiograms
2025 S. Ibrahimi, M.W. Rivolta, R. Sassi
Text-to-ECG: a Framework to Generate 12-Lead ECG from Text Reports
2025 F. Cattozzo, S. Battiston, 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
Evaluating the Quality of CycleGAN Generated ECG Data for Myocardial Infarction Classification
2024 S. Battiston, R. Sassi, M.W. Rivolta
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
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