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
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
Phase-Rectified Signal Variance Series and its Values for a Stationary Gaussian Process
2024 M.W. Rivolta, 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
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
A Systematic Survey of Data Augmentation of ECG Signals for AI Applications
2023 M.M. Rahman, M.W. Rivolta, F. Badilini, R. Sassi
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
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
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
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
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
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
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
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
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
Classification of ECG Signals with Different Lead Systems Using AutoML
2021 M. Bodini, M.W. Rivolta, R. Sassi
Opening the black box: interpretability of machine learning algorithms in electrocardiography
2021 M. Bodini, M.W. Rivolta, R. Sassi
Bubble Entropy of Fractional Gaussian Noise and Fractional Brownian Motion
2021 G. Manis, M. Bodini, M.W. Rivolta, R. Sassi
A two-steps-ahead estimator for bubble entropy
2021 G. Manis, M. Bodini, M.W. Rivolta, R. Sassi