Massimo Walter Rivolta

About Massimo Walter Rivolta

Massimo Walter Rivolta, With an exceptional h-index of 14 and a recent h-index of 12 (since 2020), a distinguished researcher at Università degli Studi di Milano, specializes in the field of computer science, biomedical engineering, biomedical signal processing, applied machine learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Machine Learning approaches for the design of biomechanically compatible bone tissue engineering scaffolds

Identification of Electrocardiographic Patterns Related to Mortality with COVID-19

Quantifying Uncertainty of a Deep Learning Model for Atrial Fibrillation Detection from ECG Signals

Injecting Domain Knowledge in Deep Learning Models for Automatic Identification of Myocardial Infarction from Electrocardiograms

Recovery from Coma after Cardiac Arrest: Which Time-Window Counts the Most for Deep Learning Predictions?

Biomedical Sensors for Functional Mapping: Techniques, Methods, Experimental and Medical Applications

A systematic survey of data augmentation of ECG signals for AI applications

Biomarker Investigation using Multiple Brain Measures from MRI through XAI in Alzheimer's Disease Classification

Massimo Walter Rivolta Information

University

Position

___

Citations(all)

871

Citations(since 2020)

721

Cited By

328

hIndex(all)

14

hIndex(since 2020)

12

i10Index(all)

19

i10Index(since 2020)

14

Email

University Profile Page

Google Scholar

Massimo Walter Rivolta Skills & Research Interests

computer science

biomedical engineering

biomedical signal processing

applied machine learning

Top articles of Massimo Walter Rivolta

Machine Learning approaches for the design of biomechanically compatible bone tissue engineering scaffolds

Computer Methods in Applied Mechanics and Engineering

2024/4/1

Identification of Electrocardiographic Patterns Related to Mortality with COVID-19

Applied Sciences

2024/1/18

Quantifying Uncertainty of a Deep Learning Model for Atrial Fibrillation Detection from ECG Signals

2023/10/1

Massimo Walter Rivolta
Massimo Walter Rivolta

H-Index: 10

Roberto Sassi
Roberto Sassi

H-Index: 23

Injecting Domain Knowledge in Deep Learning Models for Automatic Identification of Myocardial Infarction from Electrocardiograms

2023/10/1

Recovery from Coma after Cardiac Arrest: Which Time-Window Counts the Most for Deep Learning Predictions?

2023/10/1

Biomedical Sensors for Functional Mapping: Techniques, Methods, Experimental and Medical Applications

2023/8/10

Massimo Walter Rivolta
Massimo Walter Rivolta

H-Index: 10

A systematic survey of data augmentation of ECG signals for AI applications

Sensors

2023/5/31

Massimo Walter Rivolta
Massimo Walter Rivolta

H-Index: 10

Roberto Sassi
Roberto Sassi

H-Index: 23

Biomarker Investigation using Multiple Brain Measures from MRI through XAI in Alzheimer's Disease Classification

arXiv preprint arXiv:2305.03056

2023/5/3

Information Theory and Fetal Heart Rate Variability Analysis

2023/4/17

Recommender system for ablation lines to treat complex atrial tachycardia

Computer Methods and Programs in Biomedicine

2023/4/1

Predicting human cardiac QT alterations and pro-arrhythmic effects of compounds with a 3D beating heart-on-chip platform

Toxicological Sciences

2023/1/1

Transfer Entropy for Linear QT Correction Under Stationary and Gaussian Assumptions of the QT/RR Probability Distribution

2022/9/4

A CNN for COVID-19 Detection Using ECG signals

2022/9/4

Spatial Correlation Between Myocyte's Repolarization Times and Their Alternans Drives T-Wave Alternans on the ECG

IEEE Journal of Biomedical and Health Informatics

2022/7/29

Explainable AI points to white matter hyperintensities for Alzheimer's disease identification: A preliminary study

2022/7/11

Hybrid machine learning to localize atrial flutter substrates using the surface 12-lead electrocardiogram

EP Europace

2022/7/1

Association between ventricular repolarization parameters and cardiovascular death in patients of the SWISS-AF cohort

International journal of cardiology

2022/6/1

RATNet: A deep learning model for Bengali handwritten characters recognition

Multimedia Tools and Applications

2022/3

Machine learning using a single-lead ECG to identify patients with atrial fibrillation-induced heart failure

Frontiers in Cardiovascular Medicine

2022/2/28

Opening the black box: interpretability of machine learning algorithms in electrocardiography

Philosophical Transactions of the Royal Society A

2021/12/13

See List of Professors in Massimo Walter Rivolta University(Università degli Studi di Milano)