RIVOLTA, MASSIMO WALTER
RIVOLTA, MASSIMO WALTER
Dipartimento di Informatica Giovanni Degli Antoni
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
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
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
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
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
Injecting Domain Knowledge in Deep Learning Models for Automatic Identification of Myocardial Infarction from Electrocardiograms
2023 S. Ibrahimi, M.W. Rivolta, 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
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
A Systematic Survey of Data Augmentation of ECG Signals for AI Applications
2023 M.M. Rahman, M.W. Rivolta, F. Badilini, R. Sassi
RATNet: A deep learning model for Bengali handwritten characters recognition
2022 M. Shafiqul Islam, M. Moklesur Rahman, M. Hafizur Rahman, M.W. Rivolta, M. Aktaruzzaman
A CNN for COVID-19 Detection Using ECG signals
2022 F.M. Muscato, V.D.A. Corino, M.W. Rivolta, P. Cerveri, A. Sanzo, A. Vicentini, R. Sassi, L.T. Mainardi
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
Association between ventricular repolarization parameters and cardiovascular death in patients of the SWISS-AF cohort
2022 M.W. Rivolta, L.T. Mainardi, R. Laureanti, R. Sassi, M. Kuhne, N. Rodondi, G. Conte, G. Moschovitis, V. Schlageter, S. Aeschbacher, D. Conen, T. Reichlin, L. Roten, S. Osswald, C.S. Zuern, A. Auricchio, V.D.A. Corino
Machine Learning Using a Single-Lead ECG to Identify Patients With Atrial Fibrillation-Induced Heart Failure
2022 G. Luongo, F. Rees, D. Nairn, M.W. Rivolta, O. Dössel, R. Sassi, C. Ahlgrim, L. Mayer, F. Neumann, T. Arentz, A. Jadidi, A. Loewe, B. Müller-Edenborn
Spatial Correlation Between Myocyte's Repolarization Times and their Alternans Drives T-Wave Alternans on the ECG
2022 M.W. Rivolta, J.P. Martinez, R. Sassi, P. Laguna
Hybrid machine learning to localize atrial flutter substrates using the surface 12-lead electrocardiogram
2022 G. Luongo, G. Vacanti, V. Nitzke, D. Nairn, C. Nagel, D. Kabiri, T.P. Almeida, D.C. Soriano, M.W. Rivolta, G.A. Ng, O. Dossel, A. Luik, R. Sassi, C. Schmitt, A. Loewe
Automatic classification of macro-reentrant atrial tachycardia mechanisms using 12-LEAD ECG
2021 G. Luongo, G.V. Diba Kabiri, S. Schuler, T.P. Almeida, D.C. Soriano, M.W. Rivolta, G.A. Ng, R. Sassi, O. Doessel, C.G. Schmitt, A. Loewe
Machine learning enables noninvasive prediction of atrial fibrillation driver location and acute pulmonary vein ablation success using the 12-lead ECG
2021 G. Luongo, L. Azzolin, S. Schuler, M.W. Rivolta, T.P. Almeida, J.P. Martínez, D.C. Soriano, A. Luik, B. Müller-Edenborn, A. Jadidi, O. Dössel, R. Sassi, P. Laguna, A. Loewe
Atrial Flutter Mechanism Detection Using Directed Network Mapping
2021 M. Vila, M.W. Rivolta, G. Luongo, L.A. Unger, A. Luik, L. Gigli, F. Lombardi, A. Loewe, R. Sassi