M. Gattass

Marcelo Gattass, Marco Antonio Meggiolaro, João Carlos Virgolino Soares, 2019, Proceedings of the 25th International Congress of Mechanical Engineering.

Crowd-SLAM: Visual SLAM Towards Crowded Environments using Object Detection

Marcelo Gattass, Marco Antonio Meggiolaro, João Carlos Virgolino Soares, 2021, Journal of Intelligent & Robotic Systems.

A new constructive algorithm for random polydisperse dense disk pack generation

Marcelo Gattass, Elias Lozano, M. Gattass, 2021, International Journal for Numerical Methods in Engineering.

Sketch-based modeling of salt domes

Deane Roehl, Marcelo Gattass, Suellen Motta, 2019, SEG Technical Program Expanded Abstracts 2019.

Iup/led: a Portable User Interface Development T Ool Key Words Software User Interfaces User Interface Toolkits User Interface Management Systems Retargetability User Interface Resources

M. Gattass, 2004 .

PSO-based ViT-Seismic: A Vision Transformer Approach for Gas Detection in Seismic Images

A. Silva, A. Paiva, M. Gattass, 2022, Anais da X Escola Regional de Computação do Ceará, Maranhão e Piauí (ERCEMAPI 2022).

Detection of potential gas accumulations in 2D seismic images using spatio-temporal, PSO, and convolutional LSTM approaches

A. Silva, A. Paiva, M. Gattass, 2022, Expert Syst. Appl..

Lung-Nodule Classification Based on Computed Tomography Using Taxonomic Diversity Indexes and an SVM

Antônio Oséas de Carvalho Filho, A. Silva, M. Gattass, 2016, Journal of Signal Processing Systems.

THE GEMA FRAMEWORK – AN INNOVATIVE FRAMEWORK FOR THE DEVELOPMENT OF MULTIPHYSICS AND MULTISCALE SIMULATIONS

M. Gattass, D. Roehl, Carlos Augusto Teixeira Mendes, 2016 .

Kidney tumor segmentation from computed tomography images using DeepLabv3+ 2.5D model

A. Silva, A. Paiva, M. Gattass, 2022, Expert Syst. Appl..

Enveloping CAD models for visualization and interaction in XR applications

M. Gattass, A. Raposo, A. Montenegro, 2020, Engineering with Computers.

Detection of masses in mammogram images using CNN, geostatistic functions and SVM

Anselmo Cardoso de Paiva, Marcelo Gattass, Aristófanes Corrêa Silva, 2011, Comput. Biol. Medicine.

Detection of Masses in Digital Mammograms using K-Means and Support Vector Machine

Anselmo Cardoso de Paiva, Geraldo Braz Junior, Marcelo Gattass, 2009 .

Lung nodule classification using artificial crawlers, directional texture and support vector machine

Anselmo Cardoso de Paiva, Marcelo Gattass, Aristófanes Corrêa Silva, 2017, Expert Syst. Appl..

Detection of masses based on asymmetric regions of digital bilateral mammograms using spatial description with variogram and cross-variogram functions

Anselmo Cardoso de Paiva, Marcelo Gattass, Aristófanes Corrêa Silva, 2013, Comput. Biol. Medicine.

Automatic mass detection in mammography images using particle swarm optimization and functional diversity indexes

Anselmo Cardoso de Paiva, Marcelo Gattass, Aristófanes Corrêa Silva, 2017, Multimedia Tools and Applications.

A graph-mining algorithm for automatic detection and counting of embryonic stem cells in fluorescence microscopy images

Carlos José Pereira de Lucena, Marcelo Gattass, Geisa Martins Faustino, 2011, Integr. Comput. Aided Eng..

Segmentation and quantification of COVID-19 infections in CT using pulmonary vessels extraction and deep learning

Stelmo Magalhães Barros Netto, José Denes Lima Araújo, José M. C. Boaro, 2021, Multimedia Tools and Applications.

GEOMECHANICS APPLIED TO THE WELL DESIGN THROUGH SALT LAYERS IN BRAZIL: A HISTORY OF SUCCESS

Luiz Fernando Martha, Deane Roehl, Marcelo Gattass, 2011 .

ARTMe: a new array-based algorithm for Adaptive Refinement of Triangle Meshes

M. Gattass, H. Lopes, Jéferson Coêlho, 2018, Engineering computations.

A new quadtree-based approach for automatic quadrilateral mesh generation

Waldemar Celes Filho, Hélio Lopes, Marcelo Gattass, 2017, Engineering with Computers.

Tear Film Classification in Interferometry Eye Images Using Phylogenetic Diversity Indexes and Ripley's K Function

Kelson Rômulo Teixeira Aires, Geraldo Braz Junior, Marcelo Gattass, 2020, IEEE Journal of Biomedical and Health Informatics.

Interferometer eye image classification for dry eye categorization using phylogenetic diversity indexes for texture analysis

Anselmo Cardoso de Paiva, Geraldo Braz Junior, Marcelo Gattass, 2019, Comput. Methods Programs Biomed..

Bayesian convolutional neural network estimation for pediatric pneumonia detection and diagnosis

Anselmo Cardoso de Paiva, Geraldo Braz Junior, Aristófanes Corrêa Silva, 2021, Comput. Methods Programs Biomed..

Breast cancer diagnosis from histopathological images using textural features and CBIR

Anselmo Cardoso de Paiva, Aristófanes Corrêa Silva, Flávio H. D. Araújo, 2020, Artif. Intell. Medicine.

Pathophysiological mapping of tumor habitats in the breast in DCE-MRI using molecular texture descriptor

Anselmo Cardoso de Paiva, Marcelo Gattass, Aristófanes Corrêa Silva, 2019, Comput. Biol. Medicine.

Convolutional neural network-based PSO for lung nodule false positive reduction on CT images

Anselmo Cardoso de Paiva, Marcelo Gattass, Aristófanes Corrêa Silva, 2018, Comput. Methods Programs Biomed..

Classification of malignancy of lung nodules in CT images using Convolutional Neural Network

Marcelo Gattass, Aristófanes C. Silva, Giovanni L. F. da Silva, 2020 .

Detection of white matter lesion regions in MRI using SLIC0 and convolutional neural network

João Otávio Bandeira Diniz, Marcelo Gattass, Aristófanes Corrêa Silva, 2018, Comput. Methods Programs Biomed..

IUP/LED: A Portable User Interface Development Tool

Donald D. Cowan, Carlos José Pereira de Lucena, Marcelo Gattass, 1996, Softw. Pract. Exp..

A database management system for efficient storage of structural loadings

Marcelo Gattass, Luiz Henrique de Figueiredo, L. Figueiredo, 1989 .

Automatic detection of small lung nodules in 3D CT data using Gaussian mixture models, Tsallis entropy and SVM

Anselmo Cardoso de Paiva, Marcelo Gattass, Aristófanes Corrêa Silva, 2014, Eng. Appl. Artif. Intell..

Method of differentiation of benign and malignant masses in digital mammograms using texture analysis based on phylogenetic diversity

Marcelo Gattass, Aristófanes Corrêa Silva, Antonio Oseas de Carvalho Filho, 2018, Comput. Electr. Eng..

Seismic fault detection in real data using transfer learning from a convolutional neural network pre-trained with synthetic seismic data

Hélio Lopes, Marcelo Gattass, Axelle Pochet, 2020, Comput. Geosci..

A Novel Optical Tracking Algorithm for Point-Based Projective Invariant Marker Patterns

Marcelo Gattass, Alberto Barbosa Raposo, Manuel E. Loaiza, 2007, ISVC.

Kidney segmentation from computed tomography images using deep neural network

Anselmo Cardoso de Paiva, Aristófanes Corrêa Silva, João Otávio Bandeira Diniz, 2020, Comput. Biol. Medicine.

Computer-Aided Methodology for Syndromic Strabismus Diagnosis

Anselmo Cardoso de Paiva, Marcelo Gattass, Aristófanes Corrêa Silva, 2015, Journal of Digital Imaging.

Convolutional neural network and texture descriptor-based automatic detection and diagnosis of glaucoma

Marcelo Gattass, Aristófanes Corrêa Silva, Antonio Oseas de Carvalho Filho, 2018, Expert Syst. Appl..

Breast cancer detection in mammography using spatial diversity, geostatistics, and concave geometry

A. Silva, A. Paiva, M. Gattass, 2018, Multimedia Tools and Applications.

Environ: Integrating VR and CAD in Engineering Projects

Marcelo Gattass, Luciano P. Soares, Alberto Barbosa Raposo, 2009, IEEE Computer Graphics and Applications.

Visual SLAM in Human Populated Environments: Exploring the Trade-off between Accuracy and Speed of YOLO and Mask R-CNN

Marcelo Gattass, Marco Antonio Meggiolaro, João Carlos Virgolino Soares, 2019, 2019 19th International Conference on Advanced Robotics (ICAR).

Combined 3D visualization of volume data and polygonal models using a Shear-Warp algorithm

Ana Elisa Ferreira Schmidt, Marcelo Gattass, Paulo Cezar Pinto Carvalho, 2000, Comput. Graph..

Seismic Fault Detection Using Convolutional Neural Networks Trained on Synthetic Poststacked Amplitude Maps

Marcelo Gattass, Hélio Lopes, Axelle Pochet, 2019, IEEE Geoscience and Remote Sensing Letters.

An efficient algorithm to generate random sphere packs in arbitrary domains

Waldemar Celes Filho, Deane Roehl, Marcelo Gattass, 2016, Comput. Math. Appl..

TerraLib: Technology in Support of GIS Innovation

Marcelo Gattass, Lúbia Vinhas, Antônio Miguel Vieira Monteiro, 2000 .

ENVIRON - Visualization of CAD Models In a Virtual Reality Environment

Marcelo Gattass, Alberto Barbosa Raposo, Eduardo T. L. Corseuil, 2004, EGVE.

Automatic detection of solitary lung nodules using quality threshold clustering, genetic algorithm and diversity index

Anselmo Cardoso de Paiva, Marcelo Gattass, Aristófanes Corrêa Silva, 2014, Artif. Intell. Medicine.

Node and element resequencing using the Laplacian of a finite element graph: Part II—Implementation and numerical results

Glaucio H. Paulino, Marcelo Gattass, Subrata Mukherjee, 1994 .

Efficient Line-of-Sight Algorithms for Real Terrain Data

Marcelo Gattass, Maurício R. Mediano, Roberto de Beauclair Seixas, 1999 .

Natural approach for thin-walled beam-columns with elastic-plasticity

Aura Conci, Marcelo Gattass, A. Conci, 1990 .

Equilibrium considerations of the updated Lagrangian formulation of beam‐columns with natural concepts

John F. Abel, Marcelo Gattass, J. Abel, 1987 .

Texture based on geostatistic for glaucoma diagnosis from fundus eye image

Anselmo Cardoso de Paiva, Geraldo Braz Junior, Marcelo Gattass, 2017, Multimedia Tools and Applications.

INTERSECTING AND TRIMMING PARAMETRIC MESHES ON FINITE-ELEMENT SHELLS

Marcelo Gattass, Luiz Cristovão Gomes Coelho, L. Figueiredo, 2000 .

Computer-Aided Diagnosis of Lung Nodules in Computed Tomography by Using Phylogenetic Diversity, Genetic Algorithm, and SVM

Anselmo Cardoso de Paiva, Marcelo Gattass, Aristófanes Corrêa Silva, 2017, Journal of Digital Imaging.

Modified Quality Threshold Clustering for Temporal Analysis and Classification of Lung Lesions

Marcelo Gattass, Aristófanes Corrêa Silva, Stelmo Magalhães Barros Netto, 2019, IEEE Transactions on Image Processing.

Statistical tools for the temporal analysis and classification of lung lesions

Hélio Lopes, Anselmo Cardoso de Paiva, Marcelo Gattass, 2017, Comput. Methods Programs Biomed..

Unsupervised detection of density changes through principal component analysis for lung lesion classification

Anselmo Cardoso de Paiva, Marcelo Gattass, Aristófanes Corrêa Silva, 2017, Multimedia Tools and Applications.

Classification of breast tissues into mass and non-mass by means of the micro-genetic algorithm, phylogenetic trees, LBP and SVM

Anselmo Cardoso de Paiva, Marcelo Gattass, Aristófanes Corrêa Silva, 2018, Comput. methods Biomech. Biomed. Eng. Imaging Vis..

An Approach for Construction of Augmented Reality Systems using Natural Markers and Mobile Sensors in Industrial Fields

Anselmo Cardoso de Paiva, Marcelo Gattass, Aristófanes Corrêa Silva, 2017, Int. J. Comput. Commun. Control.

Texture analysis of masses malignant in mammograms images using a combined approach of diversity index and local binary patterns distribution

Anselmo Cardoso de Paiva, Geraldo Braz Junior, Marcelo Gattass, 2016, Expert Syst. Appl..

Detection of masses in mammograms with adaption to breast density using genetic algorithm, phylogenetic trees, LBP and SVM

Anselmo Cardoso de Paiva, Marcelo Gattass, Aristófanes Corrêa Silva, 2015, Expert Syst. Appl..

Automatic Detection of Masses in Mammograms Using Quality Threshold Clustering, Correlogram Function, and SVM

Anselmo Cardoso de Paiva, Marcelo Gattass, Aristófanes Corrêa Silva, 2015, Journal of Digital Imaging.

Adaptive Patches for Mesh Denoising

Marcelo Gattass, Alberto Barbosa Raposo, Jéferson Coêlho, 2018, 2018 31st SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI).

Detection of Breast Masses in Mammogram Images Using Growing Neural Gas Algorithm and Ripley’s K Function

Anselmo Cardoso de Paiva, Marcelo Gattass, Aristófanes Corrêa Silva, 2009, J. Signal Process. Syst..

Segmentation and Reconstruction of the Pulmonary Parenchyma

Marcelo Gattass, Paulo Cezar Pinto Carvalho, Paulo Cezar, 2006 .

Investigating Euclidean Mappings for CIEDE2000 Color Difference Formula

Hélio Lopes, Marcelo Gattass, Lorenzo Ridolfi, 2010, Color Imaging Conference.

Surgical planning for horizontal strabismus using Support Vector Regression

Anselmo Cardoso de Paiva, Marcelo Gattass, Aristófanes Corrêa Silva, 2015, Comput. Biol. Medicine.

Automatic segmentation of lung nodules with growing neural gas and support vector machine

Marcelo Gattass, Aristófanes Corrêa Silva, Stelmo Magalhães Barros Netto, 2012, Comput. Biol. Medicine.

Lung-Nodule Classification Based on Computed Tomography Using Taxonomic Diversity Indexes and an SVM

Anselmo Cardoso de Paiva, Marcelo Gattass, Aristófanes Corrêa Silva, 2017, J. Signal Process. Syst..

A cascade approach for automatic segmentation of cardiac structures in short-axis cine-MR images using deep neural networks

Italo Francyles Santos da Silva, A. Silva, A. Paiva, 2022, Expert Syst. Appl..

An Anti-aliasing Technique for Voxel-Based Massive Model Visualization Strategies

Marcelo Gattass, Alberto Barbosa Raposo, Gustavo N. Wagner, 2007, ISVC.

Lung nodules diagnosis based on evolutionary convolutional neural network

Anselmo Cardoso de Paiva, Marcelo Gattass, Aristófanes Corrêa Silva, 2017, Multimedia Tools and Applications.

Classification of malignant and benign lung nodules using taxonomic diversity index and phylogenetic distance

Robherson W. S. Costa, G. L. F. D. Silva, Antônio Oséas de Carvalho Filho, 2018, Medical & Biological Engineering & Computing.

Computer-aided diagnosis system for lung nodules based on computed tomography using shape analysis, a genetic algorithm, and SVM

Anselmo Cardoso de Paiva, Marcelo Gattass, Aristófanes Corrêa Silva, 2016, Medical & Biological Engineering & Computing.

Classification of patterns of benignity and malignancy based on CT using topology-based phylogenetic diversity index and convolutional neural network

Anselmo Cardoso de Paiva, Marcelo Gattass, Aristófanes Corrêa Silva, 2018, Pattern Recognit..

Classification of breast regions as mass and non-mass based on digital mammograms using taxonomic indexes and SVM

Anselmo Cardoso de Paiva, Marcelo Gattass, Aristófanes Corrêa Silva, 2015, Comput. Biol. Medicine.

Seismic data classification for natural gas detection using training dataset recommendation and deep learning

Luis Fernando Marin Sepulveda, A. Silva, M. Gattass, 2023, Geoenergy Science and Engineering.

Classification of Breast Masses in Mammogram Images Using Ripley's K Function and Support Vector Machine

Anselmo Cardoso de Paiva, Marcelo Gattass, Aristófanes Corrêa Silva, 2007, MLDM.

Fault identification using competitive learning

Marcelo Gattass, Marcos Machado, M. Gattass, 2007 .

Natural approach for geometric non‐linear analysis of thin‐walled frames

Aura Conci, Marcelo Gattass, A. Conci, 1990 .

Visual Localization and Mapping in Dynamic and Changing Environments

M. Gattass, G. Caurin, M. Meggiolaro, 2022, ArXiv.

Glaucoma diagnosis in fundus eye images using diversity indexes

Johnatan Carvalho Souza, José Denes Lima Araújo, A. Silva, 2018, Multimedia Tools and Applications.

Temporal analysis of lung lesions through dynamic shape features

Anselmo Cardoso de Paiva, João Otávio Bandeira Diniz, Marcelo Gattass, 2019, Comput. Electr. Eng..

Automatic diagnosis of strabismus in digital videos through cover test

Marcelo Gattass, Aristófanes Corrêa Silva, João Dallyson Sousa de Almeida, 2017, Comput. Methods Programs Biomed..

Automatic embryonic stem cells detection and counting method in fluorescence microscopy images

Carlos José Pereira de Lucena, Marcelo Gattass, Geisa Martins Faustino, 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

3D shape analysis to reduce false positives for lung nodule detection systems

Anselmo Cardoso de Paiva, Marcelo Gattass, Aristófanes Corrêa Silva, 2017, Medical & Biological Engineering & Computing.

Visual Field Coordinate Systems in Visual Neurophysiology.

R. Gattass, M. Gattass, 2023, Anais da Academia Brasileira de Ciencias.

Integrating VR in an Engineering Collaborative Problem Solving Environment

Marcelo Gattass, Alberto Barbosa Raposo, Ismael H. F. dos Santos, 2009, ICEIS.

A Service-Oriented Architecture for a Collaborative Engineering Environment in Petroleum Engineering

Alberto Raposo, Marcelo Gattass, Ismael Santos, 2006 .

Enhanced Visualization of 3-D Seismic Data

Marcelo Gattass, Pedro Mário Silva, Marcos Vitor Barbosa Machado, 2002 .

Diagnosis of solitary lung nodules using the local form of Ripley's K function applied to three-dimensional CT data

Anselmo Cardoso de Paiva, Marcelo Gattass, Aristófanes Corrêa Silva, 2008, Comput. Methods Programs Biomed..

Diagnosis of lung nodule using semivariogram and geometric measures in computerized tomography images

Marcelo Gattass, Paulo Cezar Pinto Carvalho, Aristófanes Corrêa Silva, 2005, Comput. Methods Programs Biomed..

Analysis of spatial variability using geostatistical functions for diagnosis of lung nodule in computerized tomography images

Marcelo Gattass, Paulo Cezar Pinto Carvalho, Aristófanes Corrêa Silva, 2004, Pattern Analysis and Applications.

Diagnosis of Lung Nodule Using the Semivariogram Function

Marcelo Gattass, Paulo Cezar Pinto Carvalho, Aristófanes Corrêa Silva, 2004, SSPR/SPR.

Diagnosis of Solitary Lung Nodule Using Texture e Geometry in Computerized Tomography Images: Preliminary Results

M. Gattass, A.C. Silva, P.C. Carvalho, 2004, IEEE Latin America Transactions.

Diagnosis of lung nodule using Gini coefficient and skeletonization in computerized tomography images

Marcelo Gattass, Paulo Cezar Pinto Carvalho, Aristófanes Corrêa Silva, 2004, SAC '04.

3D point cloud denoising using anisotropic neighborhoods and a novel sharp feature detection algorithm

M. Gattass, A. Raposo, Jan Hurtado, 2022, The Visual Computer.

Efficient visualization of graphical objects

Marcelo Gattass, Maurício R. Mediano, Paula Frederick, 1999, XII Brazilian Symposium on Computer Graphics and Image Processing (Cat. No.PR00481).

Automatic detection of solitary lung nodules using quality threshold clustering, genetic algorithm and diversity index

Antônio Oséas de Carvalho Filho, A. Silva, A. Paiva, 2014, Artif. Intell. Medicine.

Classification of malignant and benign lung nodules using taxonomic diversity index and phylogenetic distance

Anselmo Cardoso de Paiva, Marcelo Gattass, Aristófanes Corrêa Silva, 2018, Medical & Biological Engineering & Computing.

A VR Tool for the Visualization of CAD Models

Alberto Raposo, Marcelo Gattass, Eduardo T. L. Corseuil, 2004 .

A 3D Simulation System for Emergency Evacuation in Offshore Platforms

Marcelo Gattass, Alberto Barbosa Raposo, Guilherme Bezerra Zampronio, 2015, 2015 XVII Symposium on Virtual and Augmented Reality.

Heart segmentation in planning CT using 2.5D U-Net++ with attention gate

G. L. F. D. Silva, A. Silva, A. Paiva, 2022, Comput. methods Biomech. Biomed. Eng. Imaging Vis..

Automatic methods for diagnosis of glaucoma using texture descriptors based on phylogenetic diversity

Marcelo Gattass, Aristófanes Corrêa Silva, Antonio Oseas de Carvalho Filho, 2018, Comput. Electr. Eng..

Interval methods for ray casting implicit surfaces with affine arithmetic

Marcelo Gattass, Luiz Henrique de Figueiredo, Affonso de Cusatis Junior, 1999, XII Brazilian Symposium on Computer Graphics and Image Processing (Cat. No.PR00481).

Semi-automatic methodology for augmented panorama development in industrial outdoor environments

Anselmo Cardoso de Paiva, Geraldo Braz Junior, Marcelo Gattass, 2017, Adv. Eng. Softw..

Designing a hybrid user interface: a case study on an oil and gas application

Marcelo Gattass, Alberto Barbosa Raposo, Felipe Gomes de Carvalho, 2009, VRCAI '09.

An approach for enabling the use of immersive virtual reality in desktop hybrid interfaces

Alberto Raposo, Marcelo Gattass, Felipe Carvalho, 2007 .

Analysis of Ensemble methods applied to Lithology Classification from Well Logs

Marcelo Gattass, Pedro Mário Silva, Aristófanes Corrêa Silva, 2013 .

A shortest path algorithm for 2D seismic horizon tracking

Marcelo Gattass, Pedro Mario Silva, Eliana L. Goldner, 2015, SAC.

2D Horizon Tracking Using Dynamic Programming

Marcelo Gattass, Pedro Mário Silva, Pedro Mario Silva, 2013 .

Semivariogram and SGLDM Methods Comparison for the Diagnosis of Solitary Lung Nodule

A. Silva, A. Paiva, M. Gattass, 2005, IbPRIA.

Lloyd's Algorithm on GPU

Marcelo Gattass, Paulo Cezar Pinto Carvalho, Cristina Nader Vasconcelos, 2008, ISVC.

FGNG: A fast multi-dimensional growing neural gas implementation

Hélio Lopes, Marcelo Gattass, Carlos Augusto Teixeira Mendes, 2014, Neurocomputing.