Marco A. Gutierrez
Orcid: 0000-0003-0964-6222Affiliations:
- University of Sao Paulo, Heart Institute (InCor), São Paulo, Brazil
According to our database1,
Marco A. Gutierrez
authored at least 78 papers
between 2001 and 2024.
Collaborative distances:
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Bibliography
2024
Optimizing Photoplethysmography-Based Sleep Staging Models by Leveraging Temporal Context for Wearable Devices Applications.
CoRR, 2024
Exploring the limitations of blood pressure estimation using the photoplethysmography signal.
CoRR, 2024
Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, 2024
KluSIM: Speeding up K-Medoids Clustering over Dimensional Data with Metric Access Method.
Proceedings of the 26th International Conference on Enterprise Information Systems, 2024
A symptom-based community-weighted similarity approach for inpatient health condition monitoring.
Proceedings of the 37th IEEE International Symposium on Computer-Based Medical Systems, 2024
2023
ClinicalPath: A Visualization Tool to Improve the Evaluation of Electronic Health Records in Clinical Decision-Making.
IEEE Trans. Vis. Comput. Graph., October, 2023
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, San Diego, 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
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
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, San Diego, 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, San Diego, 2022
Full Motion Focus: Convolutional Module for Improved Left Ventricle Segmentation Over 4D MRI.
Proceedings of the Image Analysis and Processing - ICIAP 2022, 2022
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
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
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
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
Proceedings of the Medical Imaging 2021: Biomedical Applications in Molecular, 2021
Proceedings of the Medical Imaging 2021: Biomedical Applications in Molecular, 2021
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
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
Proceedings of the MEDINFO 2015: eHealth-enabled Health, 2015
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, San Diego, 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
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
Proceedings of the Advances in Visual Computing - 6th International Symposium, 2010
2007
IEEE Trans. Inf. Technol. Biomed., 2007
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
Proceedings of the 14th Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2001), 2001
Proceedings of the 14th Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2001), 2001