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ORCIDMarco A. Gutierrez 0001
Marco Antonio Gutierrez 0001
Person information
- affiliation: University of Sao Paulo, Heart Institute (InCor), São Paulo, Brazil
Other persons with the same name
- Marco A. Gutiérrez (aka: Marco A. Gutierrez) — disambiguation page
- Marco A. Gutiérrez 0002 (aka: Marco A. Gutierrez 0002, Marco Antonio Gutiérrez 0002, Marco Antonio Gutierrez 0002, Marco Antonio Gutiérrez Giraldo) — University of Extremadura, Robotics and Artificial Vision Laboratory (Robolab), Cáceres, Spain
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2020 – today
- 2024
[c49]Jean R. Ponciano, Mirela T. Cazzolato, Marco Antonio Gutierrez, Caetano Traina, Agma J. M. Traina:
A symptom-based community-weighted similarity approach for inpatient health condition monitoring. CBMS 2024: 260-266- [c48]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: 73-84 - [c47]Igor A. R. Eleutério, Mirela T. Cazzolato, Larissa Roberta Teixeira, Marco Antonio Gutierrez, Agma Juci Machado Traina, Caetano Traina:
MIGUE-Sim: Speeding Up Similarity Queries with Native RDBMS Resources. SAC 2024: 321-328 - [i7]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 abs/2404.16049 (2024) - 2023
- [j22]Eduardo Moraes de Miranda Vasconcellos, Bruno Georgevich Ferreira, Jorge S. Leandro, Baldoino Fonseca dos Santos Neto, Filipe Rolim Cordeiro, Idágene Aparecida Cestari, Marco Antonio Gutierrez, Alvaro Sobrinho, Thiago D. Cordeiro:
Siamese Convolutional Neural Network for Heartbeat Classification Using Limited 12-Lead ECG Datasets. IEEE Access 11: 5365-5376 (2023) - [j21]Thiago Bulhões da Silva Costa, Felipe Meneguitti Dias, Diego Armando Cardona Cárdenas, Marcelo Toledo, Daniel Mario de Lima, José Eduardo Krieger, Marco Antonio Gutierrez:
Blood Pressure Estimation From Photoplethysmography by Considering Intra- and Inter-Subject Variabilities: Guidelines for a Fair Assessment. IEEE Access 11: 57934-57950 (2023) - [j20]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: 121739-121752 (2023) - [j19]Catharine V. Graves, Marina F. S. de Sá Rebelo, Ramon Alfredo Moreno, Roberto Nery 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: 102283 (2023) - [j18]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): 4031-4046 (2023) - [c46]Mirela T. Cazzolato, Marco Antonio Gutierrez, Caetano Traina, Christos Faloutsos, Agma J. M. Traina:
Exploratory Data Analysis in Electronic Health Records Graphs: Intuitive Features and Visualization Tools. CBMS 2023: 117-122 - [c45]Elisa Terumi Rubel Schneider, Yohan Bonescki Gumiel, João Vitor Andrioli de Souza, Lilian Mie Mukai Cintho, Lucas Emanuel Silva e Oliveira, Marina de Sá Rebelo, Marco Antonio Gutierrez, José Eduardo Krieger, Douglas Teodoro, Claudia Maria Cabral Moro, Emerson Cabrera Paraiso:
CardioBERTpt: Transformer-based Models for Cardiology Language Representation in Portuguese. CBMS 2023: 378-381 - [c44]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: 435-440 - [c43]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: 1-4 - [c42]Aldir Sousa, Marcelo Toledo, José Eduardo Krieger, Marco Antonio Gutierrez:
Automatic segmentation of stroke lesions in T1-weighted magnetic resonance images with convolutional neural networks. Medical Imaging: Computer-Aided Diagnosis 2023 - [i6]Felipe Meneguitti 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 abs/2307.08766 (2023) - [i5]Filipe A. C. Oliveira, Felipe Meneguitti 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 abs/2308.01930 (2023) - [i4]Douglas A. Almeida, Felipe Meneguitti 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 abs/2308.05759 (2023) - 2022
- [j17]Mirela T. Cazzolato, Lucas C. Scabora, Guilherme F. Zabot, Marco A. Gutierrez, Caetano Traina Jr., Agma J. M. Traina:
FeatSet+: Visual Features Extracted from Public Image Datasets. J. Inf. Data Manag. 13(1) (2022) - [j16]Mirela T. Cazzolato, Lucas Santiago Rodrigues, Marcela X. Ribeiro, Marco A. Gutierrez, Caetano Traina Jr., Agma J. M. Traina:
Sketch+ for Visual and Correlation-Based Exploratory Data Analysis: A Case Study with COVID-19 Databases. J. Inf. Data Manag. 13(2) (2022) - [c41]Felipe Meneguitti Dias, Thiago Bulhões da Silva Costa, 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: 1-4 - [c40]Quenaz B. Soares, Rosangela Monteiro, Fábio B. Jatene, Marco A. Gutierrez:
A Lightweight Unidimensional Deep Learning Model for Atrial Fibrillation Detection. CinC 2022: 1-4 - [c39]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: 545-548 - [c38]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: 438-450 - [c37]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 - [c36]Karem Daiane Marcomini, Diego Armando Cardona Cárdenas, Agma Juci Machado Traina, José Eduardo Krieger, Marco Antonio Gutierrez:
A deep learning approach for COVID-19 screening and localization on chest x-ray images. Medical Imaging: Computer-Aided Diagnosis 2022 - [c35]Ramon Alfredo Moreno, Felipe Meneguitti Dias, Marcelo A. F. Arruda, Filipe Oliveira, Thiago Bulhões da Silva Costa, José Eduardo Krieger, Marco A. Gutierrez:
IoT Medical Device Architecture to Estimate Non-invasive Arterial Blood Pressure. SIoT 2022: 1-4 - [i3]Claudio D. G. Linhares, Daniel Mario de 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 abs/2205.13570 (2022) - 2021
- [j15]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: 813-827 (2021) - [j14]José Raniery Ferreira Jr., Diego Armando Cardona Cárdenas, Ramon Alfredo Moreno, Marina de Sá Rebelo, José Eduardo Krieger, Marco Antonio Gutierrez:
Novel Chest Radiographic Biomarkers for COVID-19 Using Radiomic Features Associated with Diagnostics and Outcomes. J. Digit. Imaging 34(2): 297-307 (2021) - [j13]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): 480 (2021) - [c34]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: 125-130 - [c33]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: 253-258 - [c32]Felipe Meneguitti Dias, Nelson Samesima, Adèle Helena Ribeiro, Ramon Alfredo Moreno, Carlos Alberto Pastore, José Eduardo Krieger, Marco A. Gutierrez:
2D Image-Based Atrial Fibrillation Classification. CinC 2021: 1-4 - [c31]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 - [c30]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 - [c29]José Raniery Ferreira Jr., Diego Armando Cardona Cárdenas, Ramon Alfredo Moreno, Marina de Fátima de Sá Rebelo, José Eduardo Krieger, Marco Antonio Gutierrez:
A general fully automated deep-learning method to detect cardiomegaly in chest x-rays. Medical Imaging: Computer-Aided Diagnosis 2021 - [c28]Mirela T. Cazzolato, Lucas Santiago 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: 25-36 - [c27]Daniel Mario de 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: 367-372 - [i2]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 abs/2107.01318 (2021) - [i1]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 abs/2107.09134 (2021) - 2020
- [c26]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: 197-202 - [c25]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: 1203-1206 - [c24]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: 1221-1224 - [c23]José Raniery Ferreira, Diego Armando Cardona Cárdenas, Ramon Alfredo Moreno, Marina de Sá Rebelo, José Eduardo Krieger, Marco Antonio Gutierrez:
Multi-View Ensemble Convolutional Neural Network to Improve Classification of Pneumonia in Low Contrast Chest X-Ray Images. EMBC 2020: 1238-1241
2010 – 2019
- 2019
- [j12]Makoto Miyagawa, Marly Guimarães Fernandes Costa, Marco Antonio Gutierrez, Joao Pedro Guimaraes Fernandes Costa, Cicero Ferreira Fernandes Costa Filho:
Detecting Vascular Bifurcation in IVOCT Images Using Convolutional Neural Networks With Transfer Learning. IEEE Access 7: 66167-66175 (2019) - [c22]Maysa Malfiza Garcia de Macedo, Dário Augusto Borges Oliveira, Marco Antonio Gutierrez:
Atherosclerotic Plaques Recognition in Intracoronary Optical Images Using Neural Networks. CinC 2019: 1-4 - [c21]John A. Sims, Anderson Gabriel Santiago, João Salinet, Marco Antonio Gutierrez:
Directional Analysis of 2D Cardiac Motion Slices Using the Discrete Helmholtz Hodge Decomposition. CinC 2019: 1-4 - [c20]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: 5597-5600 - [c19]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: 233-237 - [c18]Ramon Alfredo Moreno, Marina F. S. de Sá Rebelo, Talles Carvalho, Antonildes N. Assunção, Roberto Nery 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: 109531Y - 2018
- [j11]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: 69-78 (2018) - [c17]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: 600-603 - [c16]Dário A. B. Oliveira, Maysa M. G. Macedo, Pedro Nicz, Carlos M. 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: 105781Y - 2017
- [j10]Maria Tereza Fernandes Abrahão, Moacyr Roberto Cuce Nobre, Marco Antonio Gutierrez:
A method for cohort selection of cardiovascular disease records from an electronic health record system. Int. J. Medical Informatics 102: 138-149 (2017) - [c15]Maysa M. G. Macedo, Pedro Nicz, Carlos M. Campos, Pedro A. Lemos, Marco A. Gutierrez:
Wavelet Analysis for Multiresolution Tissue Characterization in Intracoronary Optical Images. CinC 2017 - [c14]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: 101344D - 2016
- [j9]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: 91-99 (2016) - [c13]Maysa M. G. Macedo, Pedro Nicz, Carlos M. Campos, Pedro A. Lemos, Marco A. Gutierrez:
Spatial-Frequency Approach to Fibrous Tissue Classification in Intracoronary Optical Images. CinC 2016 - [c12]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 - 2015
- [j8]Maysa M. G. Macedo, Welingson V. N. Guimarães, Micheli Zanotti Galon, Celso K. Takimura, Pedro A. Lemos, Marco Antonio Gutierrez:
A bifurcation identifier for IV-OCT using orthogonal least squares and supervised machine learning. Comput. Medical Imaging Graph. 46: 237-248 (2015) - [c11]Ramon Alfredo Moreno, Marco A. Gutierrez, Mucio Tavares de Oliveira Junior, Vinicius Lima, Norberto Alves Ferreira:
Second Opinion System for Emergency Cardiology in Brazil. CBMS 2015: 334-337 - [c10]John A. Sims, Marco Antônio Oliveira, José Cláudio Meneghetti, Marco Antonio Gutierrez:
Calculation of Cardiac Kinetic Energy Index from PET images. MedInfo 2015: 653-657 - [c9]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: 94170S - 2014
- [c8]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: 102-107 - [c7]Marina de Sá Rebelo, Ramon Alfredo Moreno, Riccardo Gomes Gobbi, Gilberto Luis Camanho, Luiz Francisco Rodrigues de Ávila, Marco Kawamura Demange, Jose Ricardo Pecora, Marco Antonio Gutierrez:
Description of patellar movement by 3D parameters obtained from dynamic CT acquisition. Medical Imaging: Computer-Aided Diagnosis 2014: 903538 - 2013
- [j7]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): 283-298 (2013) - 2011
- [c6]Luis Roberto Pereira de Paula, Carlos da Silva dos Santos, Marco Antonio Gutierrez, Roberto Hirata Jr.:
An Open-Source Medical Image Processing and Visualization Tool to Analyze Cardiac SPECT Images. ISVC (2) 2011: 659-668 - 2010
- [j6]Marina de Sá Rebelo, Ann Kirstine Hummelgaard Aarre, Karen-Louise Clemmesen, Simone Cristina Soares Brandão, Maria Clementina Giorgi, José Cláudio Meneghetti, Marco Antonio Gutierrez:
Determination of Three-Dimensional Left Ventricle Motion to Analyze Ventricular Dyssyncrony in SPECT Images. EURASIP J. Adv. Signal Process. 2010 (2010) - [c5]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: 529-538
2000 – 2009
- 2007
- [j5]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): 1183-1193 (2007) - [j4]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): 5-20 (2007) - [j3]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): 21-33 (2007) - [j2]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): 17-24 (2007) - [c4]Marco Antonio Gutierrez, Silvia Helena Gelas Lage, Jasper Lee, Zheng Zhou:
A Computer-Aided Diagnostic System using a Global Data Grid Repository for the Evaluation of Ultrasound Carotid Images. CCGRID 2007: 840-845 - 2005
- [c3]Keylla Sá Urtiga, Marco Antonio Gutierrez:
Desenho de interface para sistema de armazenamento e distribuição de imagens médicas. CLIHC 2005: 340 - 2003
- [j1]Marco Antonio Gutierrez, Marina S. Rebelo, Sérgio Shiguemi Furuie, José Cláudio Meneghetti:
Automatic quantification of three-dimensional kinetic energy in gated myocardial perfusion single-photon-emission computerized tomography improved by a multiresolution technique. J. Electronic Imaging 12(1): 118-124 (2003) - 2001
- [c2]Wietske Ineke Meyering, Marco A. Gutierrez:
Cardiac Image Sequence Analysis Using a Spatiotemporal Frequency Approach. SIBGRAPI 2001: 252-257 - [c1]Marina de Sá Rebelo, Marco A. Gutierrez, Sérgio Shiguemi Furuie, Lincoln Moura:
Incorporation of Geometrical Information to Identify Cardiac Structures in MRI. SIBGRAPI 2001: 389
Coauthor Index
Maysa M. G. Macedo
aka: Maysa Malfiza Garcia de Macedo
aka: Maysa Malfiza Garcia de Macedo
Marina de Sá Rebelo
aka: Marina F. S. de Sá Rebelo
aka: Marina S. Rebelo
aka: Marina de Fátima de Sá Rebelo
aka: Marina F. S. de Sá Rebelo
aka: Marina S. Rebelo
aka: Marina de Fátima de Sá Rebelo
Agma J. M. Traina
aka: Agma Juci Machado Traina
aka: Agma Juci Machado Traina
Caetano Traina Jr.
aka: Caetano Traina
aka: Caetano Traina
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