Marco A. Gutierrez

Orcid: 0000-0003-0964-6222

Affiliations:
  • University of Sao Paulo, Heart Institute (InCor), São Paulo, Brazil


According to our database1, Marco A. Gutierrez authored at least 73 papers between 2001 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
ClinicalPath: A Visualization Tool to Improve the Evaluation of Electronic Health Records in Clinical Decision-Making.
IEEE Trans. Vis. Comput. Graph., October, 2023

Siamese pyramidal deep learning network for strain estimation in 3D cardiac cine-MR.
Comput. Medical Imaging Graph., September, 2023

A machine-learning sleep-wake classification model using a reduced number of features derived from photoplethysmography and activity signals.
CoRR, 2023

Machine Learning-Based Diabetes Detection Using Photoplethysmography Signal Features.
CoRR, 2023

Quality Assessment of Photoplethysmography Signals For Cardiovascular Biomarkers Monitoring Using Wearable Devices.
CoRR, 2023

Siamese Convolutional Neural Network for Heartbeat Classification Using Limited 12-Lead ECG Datasets.
IEEE Access, 2023

Artificial Intelligence-Driven Screening System for Rapid Image-Based Classification of 12-Lead ECG Exams: A Promising Solution for Emergency Room Prioritization.
IEEE Access, 2023

Blood Pressure Estimation From Photoplethysmography by Considering Intra- and Inter-Subject Variabilities: Guidelines for a Fair Assessment.
IEEE Access, 2023

Automatic segmentation of stroke lesions in T1-weighted magnetic resonance images with convolutional neural networks.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023

Developing a Machine Learning Pipeline for Predicting Neurological Outcomes in Comatose Cardiac Arrest Survivors Using Continuous EEG Data.
Proceedings of the Computing in Cardiology, 2023

CardioBERTpt: Transformer-based Models for Cardiology Language Representation in Portuguese.
Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

Improving Deep Learning Shape Consistency with a New Loss Function for Left Ventricle Segmentation in Cardiac MRI.
Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

Exploratory Data Analysis in Electronic Health Records Graphs: Intuitive Features and Visualization Tools.
Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

2022
FeatSet+: Visual Features Extracted from Public Image Datasets.
J. Inf. Data Manag., 2022

Sketch+ for Visual and Correlation-Based Exploratory Data Analysis: A Case Study with COVID-19 Databases.
J. Inf. Data Manag., 2022

IoT Medical Device Architecture to Estimate Non-invasive Arterial Blood Pressure.
Proceedings of the Symposium on Internet of Things, 2022

A deep learning approach for COVID-19 screening and localization on chest x-ray images.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022

Evaluation of the impact of physical adversarial attacks on deep learning models for classifying covid cases.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022

Full Motion Focus: Convolutional Module for Improved Left Ventricle Segmentation Over 4D MRI.
Proceedings of the Image Analysis and Processing - ICIAP 2022, 2022

Automatic myocardium strain quantification in MR synthetic images with Deep Leaning.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

A Lightweight Unidimensional Deep Learning Model for Atrial Fibrillation Detection.
Proceedings of the Computing in Cardiology, 2022

A Machine Learning Approach to Predict Arterial Blood Pressure from Photoplethysmography Signal.
Proceedings of the Computing in Cardiology, 2022

2021
Study of CNN Capacity Applied to Left Ventricle Segmentation in Cardiac MRI.
SN Comput. Sci., 2021

Novel Chest Radiographic Biomarkers for COVID-19 Using Radiomic Features Associated with Diagnostics and Outcomes.
J. Digit. Imaging, 2021

LIG-Doctor: Efficient patient trajectory prediction using bidirectional minimal gated-recurrent networks.
Inf. Sci., 2021

Convolutional module for heart localization and segmentation in MRI.
CoRR, 2021

A study of CNN capacity applied to Left Venticle Segmentation in Cardiac MRI.
CoRR, 2021

Uma proposta de data lake para pesquisa em saúde a partir de data pools multicêntricos interoperáveis.
Proceedings of the 36th Brazilian Symposium on Databases, 2021

Similarity Search and Correlation-Based Exploratory Analysis in EHRs: A Case Study with COVID-19 Databases.
Proceedings of the 36th Brazilian Symposium on Databases, 2021

A general fully automated deep-learning method to detect cardiomegaly in chest x-rays.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

Cardiac motion estimation using pyramid, warping, and cost volume neural network.
Proceedings of the Medical Imaging 2021: Biomedical Applications in Molecular, 2021

Automated radiographic bone suppression with deep convolutional neural networks.
Proceedings of the Medical Imaging 2021: Biomedical Applications in Molecular, 2021

2D Image-Based Atrial Fibrillation Classification.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

I-CovidVis - A Visual Analytics Tool for Interoperable Healthcare Databases using Graphs.
Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021

Multilevel Clustering Explainer: An Explainable Approach to Electronic Health Records.
Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021

2020
Fully Automated Quantification of Cardiac Indices from Cine MRI Using a Combination of Convolution Neural Networks.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Improving the generalization of deep learning methods to segment the left ventricle in short axis MR images.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Multi-View Ensemble Convolutional Neural Network to Improve Classification of Pneumonia in Low Contrast Chest X-Ray Images.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Bag-of-Attributes Representation: A Vector Space Model for Electronic Health Records Analysis in OMOP.
Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020

2019
Detecting Vascular Bifurcation in IVOCT Images Using Convolutional Neural Networks With Transfer Learning.
IEEE Access, 2019

A combined deep-learning approach to fully automatic left ventricle segmentation in cardiac magnetic resonance imaging.
Proceedings of the Medical Imaging 2019: Biomedical Applications in Molecular, 2019

Transforming Two Decades of ePR Data to OMOP CDM for Clinical Research.
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

Using Convolutional Neural Networks for Classification of Bifurcation Regions in IVOCT Images.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Directional Analysis of 2D Cardiac Motion Slices Using the Discrete Helmholtz Hodge Decomposition.
Proceedings of the 46th Computing in Cardiology, 2019

Atherosclerotic Plaques Recognition in Intracoronary Optical Images Using Neural Networks.
Proceedings of the 46th Computing in Cardiology, 2019

2018
Directional analysis of cardiac motion field from gated fluorodeoxyglucose PET images using the Discrete Helmholtz Hodge Decomposition.
Comput. Medical Imaging Graph., 2018

Coronary calcification identification in optical coherence tomography using convolutional neural networks.
Proceedings of the Medical Imaging 2018: Biomedical Applications in Molecular, 2018

Lumen Segmentation in Optical Coherence Tomography Images using Convolutional Neural Network.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017
A method for cohort selection of cardiovascular disease records from an electronic health record system.
Int. J. Medical Informatics, 2017

Classification of bifurcations regions in IVOCT images using support vector machine and artificial neural network models.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

Wavelet Analysis for Multiresolution Tissue Characterization in Intracoronary Optical Images.
Proceedings of the Computing in Cardiology, 2017

2016
Georeferenced and secure mobile health system for large scale data collection in primary care.
Int. J. Medical Informatics, 2016

Directional Analysis of Cardiac Motion Field based on the Discrete Helmholtz Hodge Decomposition.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

Spatial-Frequency Approach to Fibrous Tissue Classification in Intracoronary Optical Images.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

2015
A bifurcation identifier for IV-OCT using orthogonal least squares and supervised machine learning.
Comput. Medical Imaging Graph., 2015

An automatic labeling bifurcation method for intracoronary optical coherence tomography images.
Proceedings of the Medical Imaging 2015: Biomedical Applications in Molecular, 2015

Calculation of Cardiac Kinetic Energy Index from PET images.
Proceedings of the MEDINFO 2015: eHealth-enabled Health, 2015

Second Opinion System for Emergency Cardiology in Brazil.
Proceedings of the 28th IEEE International Symposium on Computer-Based Medical Systems, 2015

2014
Description of patellar movement by 3D parameters obtained from dynamic CT acquisition.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014

Estimation of 3D biomechanics parameters of patellar movement using dynamic CT images.
Proceedings of the 5th IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics, 2014

2013
Mobile health in emerging countries: A survey of research initiatives in Brazil.
Int. J. Medical Informatics, 2013

2011
An Open-Source Medical Image Processing and Visualization Tool to Analyze Cardiac SPECT Images.
Proceedings of the Advances in Visual Computing - 7th International Symposium, 2011

2010
Determination of Three-Dimensional Left Ventricle Motion to Analyze Ventricular Dyssyncrony in SPECT Images.
EURASIP J. Adv. Signal Process., 2010

A Spatial-Temporal Frequency Approach to Estimate Cardiac Motion.
Proceedings of the Advances in Visual Computing - 6th International Symposium, 2010

2007
Managing Medical Images and Clinical Information: InCor's Experience.
IEEE Trans. Inf. Technol. Biomed., 2007

The role of a Data Grid in worldwide imaging-based clinical trials.
J. High Speed Networks, 2007

International Internet2 connectivity and performance in medical imaging applications: Bridging the Americas to Asia.
J. High Speed Networks, 2007

Multiscale representation for automatic identification of structures in medical images.
Comput. Biol. Medicine, 2007

A Computer-Aided Diagnostic System using a Global Data Grid Repository for the Evaluation of Ultrasound Carotid Images.
Proceedings of the Seventh IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2007), 2007

2005
Desenho de interface para sistema de armazenamento e distribuição de imagens médicas.
Proceedings of the CLIHC '05, 2005

2003
Automatic quantification of three-dimensional kinetic energy in gated myocardial perfusion single-photon-emission computerized tomography improved by a multiresolution technique.
J. Electronic Imaging, 2003

2001
Incorporation of Geometrical Information to Identify Cardiac Structures in MRI.
Proceedings of the 14th Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2001), 2001

Cardiac Image Sequence Analysis Using a Spatiotemporal Frequency Approach.
Proceedings of the 14th Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2001), 2001


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