Victor Gonçalves Marques

According to our database, Victor Gonçalves Marques authored at least 13 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

A Novel Mapping Strategy of Repetitive Patterns in Consecutive Recordings to Localize Atrial Fibrillation Sources: an In-Silico Study.

Victor Gonçalves Marques, Ali Gharaviri, Simone Pezzuto, Angelo Auricchio, Pietro Bonizzi, Stef Zeemering, Ulrich Schotten

Proceedings of the Computing in Cardiology, 2023

2022

Computer Simulations of Composite Maps for Detection of Atrial Fibrillation Mechanisms.

Ozan Özgül, Victor Gonçalves Marques, Ben Hermans, Arne van Hunnik, Sander Verheule, Ulrich Schotten, Ali Gharaviri, Simone Pezzuto, Angelo Auricchio, Pietro Bonizzi, Stef Zeemering

Proceedings of the Computing in Cardiology, 2022

Fibrosis Reduces the Coincidence of Repetitive Activation Patterns between the Coronary Sinus and Atrial Regions in Simulated Atrial Fibrillation.

Margot van Montfoort, Victor Gonçalves Marques, Ozan Özgül, Ali Gharaviri, Simone Pezzuto, Angelo Auricchio, Pietro Bonizzi, Ulrich Schotten, Stef Zeemering

Proceedings of the Computing in Cardiology, 2022

Tracking of Atrial Fibrillation Drivers Based on Propagation Patterns: An In-Silico Study.

Victor Gonçalves Marques, Ali Gharaviri, Simone Pezzuto, Angelo Auricchio, Pietro Bonizzi, Stef Zeemering, Ulrich Schotten

Proceedings of the Computing in Cardiology, 2022

2021

Non-invasive Mechanism Classification and Localization in Supraventricular Cardiac Arrhythmias.

Italo Sandoval, Victor Gonçalves Marques, John A. Sims, Miguel Rodrigo, María S. Guillem, João Salinet

Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

Spatial Relationship Between Atrial Fibrillation Drivers and the Presence of Repetitive Conduction Patterns Using Recurrence Analysis on In-Silico Models.

Victor Gonçalves Marques, Ali Gharaviri, Simone Pezzuto, Pietro Bonizzi, Stef Zeemering, Ulrich Schotten

Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

2020

Characterization of atrial arrhythmias in body surface potential mapping: A computational study.

Victor Gonçalves Marques, Miguel Rodrigo, María de la Salud Guillem, João Salinet

Comput. Biol. Medicine, 2020

Classification and Location of Atrial Arrhythmic Mechanisms With Body Surface Potential Mapping.

Victor Gonçalves Marques, Miguel Rodrigo, María S. Guillem, João Salinet

Proceedings of the Computing in Cardiology, 2020

A Wavelet-Based Method for Non-Invasive Dominant Frequency Detection in Atrial Fibrillation.

Victor Gonçalves Marques, Miguel Rodrigo, María S. Guillem, João Salinet

Proceedings of the Computing in Cardiology, 2020

2019

Non-Invasive Characterization of Cardiac Activation Patterns: Contributions of Body Surface Potential Mapping in Healthy Volunteers.

João Salinet, Jimena G. S. Paredes, Marcelo Mazzetto, Victor Gonçalves Marques, Nelson Samesima, Carlos Alberto Pastore, Idágene Aparecida Cestari

Proceedings of the 46th Computing in Cardiology, 2019

Effect of Reducing the Number of Leads from Body Surface Potential Mapping in Computer Models of Atrial Arrhythmias.

Victor Gonçalves Marques, Miguel Rodrigo, María S. Guillem, João Salinet

Proceedings of the 46th Computing in Cardiology, 2019

Non-Invasive Characterization of Atrial Arrhythmic Driving Mechanisms in Computer Models.

Victor Gonçalves Marques, Miguel Rodrigo, María S. Guillem, João Salinet

Proceedings of the 46th Computing in Cardiology, 2019

2017

A 64-Lead Body Surface Potential Mapping System.

João Loures Salinet Jr., Victor Gonçalves Marques, Marcelo Mazzetto, Erick Camargo, Carlos Alberto Pastore, Idágene Aparecida Cestari

Proceedings of the Computing in Cardiology, 2017