Roberto Sassi

Roberto Sassi

Università degli Studi di Milano

H-index: 36

Europe-Italy

About Roberto Sassi

Roberto Sassi, With an exceptional h-index of 36 and a recent h-index of 25 (since 2020), a distinguished researcher at Università degli Studi di Milano, specializes in the field of Biomedical Signal Processing, Computer science, Applied Mathematics, Biomedical Engineering.

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

Identification of Electrocardiographic Patterns Related to Mortality with COVID-19

A Multithreaded Algorithm for the Computation of Sample Entropy

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

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

Together we are strong! Collaboration between clinicians and engineers as an enabler for better diagnosis and therapy of atrial arrhythmias

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

Recommender system for ablation lines to treat complex atrial tachycardia

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

Roberto Sassi Information

University

Position

Professor of Computer Science Italy

Citations(all)

4594

Citations(since 2020)

2587

Cited By

3195

hIndex(all)

36

hIndex(since 2020)

25

i10Index(all)

78

i10Index(since 2020)

45

Email

University Profile Page

Università degli Studi di Milano

Google Scholar

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Roberto Sassi Skills & Research Interests

Biomedical Signal Processing

Computer science

Applied Mathematics

Biomedical Engineering

Top articles of Roberto Sassi

Title

Journal

Author(s)

Publication Date

Identification of Electrocardiographic Patterns Related to Mortality with COVID-19

Applied Sciences

Agnese Sbrollini

Chiara Leoni

Micaela Morettini

Massimo W Rivolta

Cees A Swenne

...

2024/1/18

A Multithreaded Algorithm for the Computation of Sample Entropy

Algorithms

George Manis

Dimitrios Bakalis

Roberto Sassi

2023/6/15

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

Md Moklesur Rahman

Massimo Walter Rivolta

Fabio Badilini

Roberto Sassi

2023/10/1

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

Sensors

Md Moklesur Rahman

Massimo Walter Rivolta

Fabio Badilini

Roberto Sassi

2023/5/31

Together we are strong! Collaboration between clinicians and engineers as an enabler for better diagnosis and therapy of atrial arrhythmias

Medical & Biological Engineering & Computing

Axel Loewe

Armin Luik

Roberto Sassi

Pablo Laguna

2023/4

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

Silvia Ibrahimi

Massimo W Rivolta

Roberto Sassi

2023/10/1

Recommender system for ablation lines to treat complex atrial tachycardia

Computer Methods and Programs in Biomedicine

Muhamed Vila

Massimo W Rivolta

Cristian A Barrios Espinosa

Laura A Unger

Armin Luik

...

2023/4/1

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

Filippo Uslenghi

Roberto Sassi

Massimo W Rivolta

2023/10/1

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

Toxicological Sciences

Roberta Visone

Ferran Lozano-Juan

Simona Marzorati

Massimo Walter Rivolta

Enrico Pesenti

...

2023/1/1

Smoothing filter design: A general framework

Biomedical Signal Processing and Control

Arman Kheirati Roonizi

Roberto Sassi

2023/8/1

An Extension of Quadratic Variation Regularization for Simultaneous Baseline Wander and Power Line Interference Removal from ECG

Arman Kheirati Roonizi

Roberto Sassi

2022/9/4

Sentinels and twins: effective integrity assessment for distributed computation

IEEE Transactions on Parallel and Distributed Systems

Sabrina De Capitani di Vimercati

Sara Foresti

Sushil Jajodia

Stefano Paraboschi

Pierangela Samarati

...

2022/10/20

Early Warning of Atrial Fibrillation Using Deep Learning

M Gavidia

H Zhu

A Montanari

J Fuentes

C Cheng

...

2022/9/9

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

IEEE Journal of Biomedical and Health Informatics

Massimo W Rivolta

Juan Pablo Martínez

Roberto Sassi

Pablo Laguna

2022/7/29

Early Warning of Atrial Fibrillation

M Gavidia

H Zhu

A Montanari

J Fuentes

C Cheng

...

2022/9/9

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

EP Europace

Giorgio Luongo

Gaetano Vacanti

Vincent Nitzke

Deborah Nairn

Claudia Nagel

...

2022/7/1

A new DDE smoothing filter for ECG signal denoising

Arman Kheirati Roonizi

Roberto Sassi

2022/9/4

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

International journal of cardiology

Massimo W Rivolta

Luca T Mainardi

Rita Laureanti

Roberto Sassi

Michael Kühne

...

2022/6/1

A CNN for COVID-19 Detection Using ECG signals

Federico M Muscato

Valentina DA Corino

Massimo W Rivolta

Pietro Cerveri

Antonio Sanzo

...

2022/9/4

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

Frontiers in Cardiovascular Medicine

Giorgio Luongo

Felix Rees

Deborah Nairn

Massimo W Rivolta

Olaf Dössel

...

2022/2/28

See List of Professors in Roberto Sassi University(Università degli Studi di Milano)

Co-Authors

H-index: 88
Chung-Kang Peng

Chung-Kang Peng

Harvard University

H-index: 69
Enrico Ferrazzi

Enrico Ferrazzi

Università degli Studi di Milano

H-index: 61
Richard Craster

Richard Craster

Imperial College London

H-index: 57
Axel Bauer

Axel Bauer

Medizinische Universität Innsbruck

H-index: 56
Georg Schmidt

Georg Schmidt

Technische Universität München

H-index: 48
Luca Mainardi

Luca Mainardi

Politecnico di Milano

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