Marco A. Gutierrez

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 41

Top Topics

Convolutional Neural Networks

Top Venues

Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging

Publications

Larissa Roberta Teixeira, Igor A. R. Eleutério, Mirela T. Cazzolato, Marco A. Gutierrez, Agma J. M. Traina, Caetano Traina Jr.
KluSIM: Speeding up K-Medoids Clustering over Dimensional Data with Metric Access Method. ICEIS (1) (2024)
Felipe Meneguitti Dias, Diego Armando Cardona Cárdenas, Marcelo A. F. Toledo, Filipe A. C. Oliveira, Estela Ribeiro, José Eduardo Krieger, Marco A. Gutierrez
Exploring the limitations of blood pressure estimation using the photoplethysmography signal. CoRR (2024)
Filipe A. C. Oliveira, Felipe M. Dias, Marcelo A. F. Toledo, Diego Armando Cardona Cárdenas, Douglas A. Almeida, Estela Ribeiro, José Eduardo Krieger, Marco A. Gutierrez
Machine Learning-Based Diabetes Detection Using Photoplethysmography Signal Features. CoRR (2023)
Felipe Meneguitti Dias, Estela Ribeiro, Ramon Alfredo Moreno, Adèle Helena Ribeiro, Nelson Samesima, Carlos Alberto Pastore, José Eduardo Krieger, Marco A. Gutierrez
Artificial Intelligence-Driven Screening System for Rapid Image-Based Classification of 12-Lead ECG Exams: A Promising Solution for Emergency Room Prioritization. IEEE Access 11 (2023)
Matheus Alberto de Oliveira Ribeiro, Marco A. Gutierrez, Fátima L. S. Nunes
Improving Deep Learning Shape Consistency with a New Loss Function for Left Ventricle Segmentation in Cardiac MRI. CBMS (2023)
Felipe M. Dias, Marcelo A. F. Toledo, Diego Armando Cardona Cárdenas, Douglas A. Almeida, Filipe A. C. Oliveira, Estela Ribeiro, José Eduardo Krieger, Marco A. Gutierrez
Quality Assessment of Photoplethysmography Signals For Cardiovascular Biomarkers Monitoring Using Wearable Devices. CoRR (2023)
Quenaz B. Soares, Felipe Meneguitti Dias, Estela Ribeiro, José Eduardo Krieger, Marco A. Gutierrez
Developing a Machine Learning Pipeline for Predicting Neurological Outcomes in Comatose Cardiac Arrest Survivors Using Continuous EEG Data. CinC (2023)
Catharine V. Graves, Marina F. S. de Sá Rebelo, Ramon Alfredo Moreno, Roberto N. Dantas-Jr, Antonildes N. Assunção Jr., Cesar H. Nomura, Marco A. Gutierrez
Siamese pyramidal deep learning network for strain estimation in 3D cardiac cine-MR. Comput. Medical Imaging Graph. 108 (2023)
Douglas A. Almeida, Felipe M. Dias, Marcelo A. F. Toledo, Diego Armando Cardona Cárdenas, Filipe A. C. Oliveira, Estela Ribeiro, José Eduardo Krieger, Marco A. Gutierrez
A machine-learning sleep-wake classification model using a reduced number of features derived from photoplethysmography and activity signals. CoRR (2023)
Claudio D. G. Linhares, Daniel Mario de Lima, Jean R. Ponciano, Mauro M. Olivatto, Marco A. Gutierrez, Jorge Poco, Caetano Traina, Agma J. M. Traina
ClinicalPath: A Visualization Tool to Improve the Evaluation of Electronic Health Records in Clinical Decision-Making. IEEE Trans. Vis. Comput. Graph. 29 (10) (2023)
Felipe M. Dias, Thiago Bulhoes, Diego Armando Cardona Cárdenas, Marcelo Toledo, José Eduardo Krieger, Marco A. Gutierrez
A Machine Learning Approach to Predict Arterial Blood Pressure from Photoplethysmography Signal. CinC (2022)
Daniel Mario de Lima, Catharine V. Graves, Marco A. Gutierrez, Bruno Brandoli, José F. Rodrigues Jr.
Full Motion Focus: Convolutional Module for Improved Left Ventricle Segmentation Over 4D MRI. ICIAP (1) (2022)
Claudio D. G. Linhares, Daniel M. Lima, Jean R. Ponciano, Mauro M. Olivatto, Marco A. Gutierrez, Jorge Poco, Caetano Traina Jr., Agma J. M. Traina
ClinicalPath: a Visualization tool to Improve the Evaluation of Electronic Health Records in Clinical Decision-Making. CoRR (2022)
Catharine V. Graves, Marina F. S. de Sá Rebelo, Ramon Alfredo Moreno, Cesar H. Nomura, Marco A. Gutierrez
Automatic myocardium strain quantification in MR synthetic images with Deep Leaning. EMBC (2022)
Erikson Júlio De Aguiar, Karem D. Marcomini, Felipe A. Quirino, Marco A. Gutierrez, Caetano Traina Jr., Agma J. M. Traina
Evaluation of the impact of physical adversarial attacks on deep learning models for classifying covid cases. Medical Imaging: Computer-Aided Diagnosis (2022)
Quenaz B. Soares, Rosangela Monteiro, Fábio B. Jatene, Marco A. Gutierrez
A Lightweight Unidimensional Deep Learning Model for Atrial Fibrillation Detection. CinC (2022)
José Maria Clementino, Bruno S. Faiçal, Christian C. Bones, Caetano Traina, Marco A. Gutierrez, Agma J. M. Traina
Multilevel Clustering Explainer: An Explainable Approach to Electronic Health Records. CBMS (2021)
Marcelo Toledo, Daniel Mario de Lima, José Eduardo Krieger, Marco A. Gutierrez
Study of CNN Capacity Applied to Left Ventricle Segmentation in Cardiac MRI. SN Comput. Sci. 2 (6) (2021)
Marcelo Toledo, Daniel Mario de Lima, José Eduardo Krieger, Marco A. Gutierrez
A study of CNN capacity applied to Left Venticle Segmentation in Cardiac MRI. CoRR (2021)
Daniel M. Lima, Ramon Alfredo Moreno, Fabio A. Pires, Marco A. Gutierrez
Uma proposta de data lake para pesquisa em saúde a partir de data pools multicêntricos interoperáveis. SBBD (2021)
Claudio D. G. Linhares, Daniel Mario de Lima, Christian C. Bones, Marina F. S. de Sá Rebelo, Marco A. Gutierrez, Caetano Traina, Agma J. M. Traina
I-CovidVis - A Visual Analytics Tool for Interoperable Healthcare Databases using Graphs. CBMS (2021)
Felipe M. Dias, Nelson Samesima, Adele Ribeiro, Ramon Alfredo Moreno, Carlos Pastore, José Eduardo Krieger, Marco A. Gutierrez
2D Image-Based Atrial Fibrillation Classification. CinC (2021)
Catharine V. Graves, Ramon Alfredo Moreno, Marina F. S. de Sá Rebelo, Adriano Bordignom, Cesar H. Nomura, Marco A. Gutierrez
Cardiac motion estimation using pyramid, warping, and cost volume neural network. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2021)
Daniel Mario de Lima, Catharine V. Graves, Marco A. Gutierrez, Bruno Brandoli, José Fernando Rodrigues Jr.
Convolutional module for heart localization and segmentation in MRI. CoRR (2021)
José F. Rodrigues Jr., Marco A. Gutierrez, Gabriel Spadon, Bruno Brandoli, Sihem Amer-Yahia
LIG-Doctor: Efficient patient trajectory prediction using bidirectional minimal gated-recurrent networks. Inf. Sci. 545 (2021)
Mirela T. Cazzolato, Lucas S. Rodrigues, Marcela X. Ribeiro, Marco A. Gutierrez, Caetano Traina Jr., Agma J. M. Traina
Similarity Search and Correlation-Based Exploratory Analysis in EHRs: A Case Study with COVID-19 Databases. SBBD (2021)
Diego Armando Cardona Cárdenas, José Raniery Ferreira Jr., Ramon Alfredo Moreno, Marina de Fátima de Sá Rebelo, José Eduardo Krieger, Marco A. Gutierrez
Automated radiographic bone suppression with deep convolutional neural networks. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2021)
Catharine V. Graves, Ramon Alfredo Moreno, Marina S. Rebelo, Cesar H. Nomura, Marco A. Gutierrez
Improving the generalization of deep learning methods to segment the left ventricle in short axis MR images. EMBC (2020)
José Maria Clementino, Christian C. Bones, Bruno S. Faiçal, Oscar A. C. Linares, Daniel Mario de Lima, Marco A. Gutierrez, Caetano Traina, Agma J. M. Traina
Bag-of-Attributes Representation: A Vector Space Model for Electronic Health Records Analysis in OMOP. CBMS (2020)
Renato F. Pereira, Marina S. Rebelo, Ramon Alfredo Moreno, Anderson G. Marco, Daniel Mario de Lima, Marcelo A. F. Arruda, José Eduardo Krieger, Marco A. Gutierrez
Fully Automated Quantification of Cardiac Indices from Cine MRI Using a Combination of Convolution Neural Networks. EMBC (2020)
Ramon Alfredo Moreno, Marina F. S. de Sá Rebelo, Talles Carvalho, Antonildes N. Assunção, Roberto N. Dantas, Renata do Val, Angela S. Marin, Adriano Bordignom, Cesar H. Nomura, Marco A. Gutierrez
A combined deep-learning approach to fully automatic left ventricle segmentation in cardiac magnetic resonance imaging. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2019)
Makoto Miyagawa, Marly Guimarães Fernandes Costa, Marco A. Gutierrez, Joao Pedro Guimaraes Fernandes Costa, Cicero F. F. Costa Filho
Using Convolutional Neural Networks for Classification of Bifurcation Regions in IVOCT Images. EMBC (2019)
Daniel Mario de Lima, José F. Rodrigues Jr., Agma J. M. Traina, Fabio A. Pires, Marco A. Gutierrez
Transforming Two Decades of ePR Data to OMOP CDM for Clinical Research. MedInfo (2019)
Dário A. B. Oliveira, Maysa M. G. Macedo, Pedro Nicz, Carlos Campos, Pedro A. Lemos, Marco A. Gutierrez
Coronary calcification identification in optical coherence tomography using convolutional neural networks. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2018)
John A. Sims, Maria Clementina Giorgi, Marco Antônio Oliveira, José Cláudio Meneghetti, Marco A. Gutierrez
Directional analysis of cardiac motion field from gated fluorodeoxyglucose PET images using the Discrete Helmholtz Hodge Decomposition. Comput. Medical Imaging Graph. 65 (2018)
Makoto Miyagawa, Marly Guimarães Fernandes Costa, Marco A. Gutierrez, Joao Pedro Guimaraes Fernandes Costa, Cicero F. F. Costa Filho
Lumen Segmentation in Optical Coherence Tomography Images using Convolutional Neural Network. EMBC (2018)
C. D. N. Porto, Cicero F. F. Costa Filho, Maysa M. G. Macedo, Marco A. Gutierrez, Marly Guimarães Fernandes Costa
Classification of bifurcations regions in IVOCT images using support vector machine and artificial neural network models. Medical Imaging: Computer-Aided Diagnosis (2017)
Maysa M. G. Macedo, Pedro Nicz, Carlos Campos, Pedro A. Lemos, Marco A. Gutierrez
Wavelet Analysis for Multiresolution Tissue Characterization in Intracoronary Optical Images. CinC (2017)
Maysa M. G. Macedo, Pedro Nicz, Carlos Campos, Pedro A. Lemos, Marco A. Gutierrez
Spatial-Frequency Approach to Fibrous Tissue Classification in Intracoronary Optical Images. CinC (2016)
John A. Sims, Marco A. Gutierrez, Maysa M. G. Macedo
Directional Analysis of Cardiac Motion Field based on the Discrete Helmholtz Hodge Decomposition. CinC (2016)
Joao H. G. Sa, Marina S. Rebelo, Alexandra Brentani, Sandra J. F. E. Grisi, Leonardo H. Iwaya, Marcos A. Simplício Jr., Tereza Cristina M. B. Carvalho, Marco A. Gutierrez
Georeferenced and secure mobile health system for large scale data collection in primary care. Int. J. Medical Informatics 94 (2016)
Maysa M. G. Macedo, Celso K. Takimura, Pedro A. Lemos, Marco A. Gutierrez
An automatic labeling bifurcation method for intracoronary optical coherence tomography images. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2015)
Marina A. Rebelo, Ramon Alfredo Moreno, Riccardo Gomes Gobbi, Gilberto Luis Camanho, Luiz Francisco Rodrigues de Ávila, Marco Kawamura Demange, Jose Ricardo Pecora, Marco A. Gutierrez
Estimation of 3D biomechanics parameters of patellar movement using dynamic CT images. BioRob (2014)
Leonardo H. Iwaya, Marco A. L. Gomes, Marcos A. Simplício Jr., Tereza Cristina Melo de Brito Carvalho, Cristina K. Dominicini, Rony R. M. Sakuragui, Marina S. Rebelo, Marco A. Gutierrez, Mats Näslund, P. Håkansson
Mobile health in emerging countries: A survey of research initiatives in Brazil. Int. J. Medical Informatics 82 (5) (2013)
Marco A. Gutierrez, Marina de Sá Rebelo, Wietske Ineke Meyering, Raúl A. Feijóo
A Spatial-Temporal Frequency Approach to Estimate Cardiac Motion. ISVC (1) (2010)
Marina S. Rebelo, Sérgio Shiguemi Furuie, Marco A. Gutierrez, Educardo T. Costa, Lincoln A. Moura
Multiscale representation for automatic identification of structures in medical images. Comput. Biol. Medicine 37 (8) (2007)
Brent J. Liu, Zheng Zhou, Marco A. Gutierrez, Jorge Documet, Lawrence Chan, H. K. Huang
International Internet2 connectivity and performance in medical imaging applications: Bridging the Americas to Asia. J. High Speed Networks 16 (1) (2007)
Sérgio Shiguemi Furuie, Marina S. Rebelo, Ramon Alfredo Moreno, Marcelo Santos, Nivaldo Bertozzo, G. H. M. B. Motta, Fabio A. Pires, Marco A. Gutierrez
Managing Medical Images and Clinical Information: InCor's Experience. IEEE Trans. Inf. Technol. Biomed. 11 (1) (2007)
Zheng Zhou, Marco A. Gutierrez, Jorge Documet, Lawrence Chan, H. K. Huang, Brent J. Liu
The role of a Data Grid in worldwide imaging-based clinical trials. J. High Speed Networks 16 (1) (2007)
Marina de Sá Rebelo, Marco A. Gutierrez, Sérgio Shiguemi Furuie, Lincoln Moura
Incorporation of Geometrical Information to Identify Cardiac Structures in MRI. SIBGRAPI (2001)