Anselmo Cardoso de Paiva

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A New Database for Breast Research with Infrared Image

Aura Conci, Lincoln Faria da Silva, Débora Christina Muchaluat Saade, 2014 .

Capacitated Implementation of Growing Neural Gas Applied to the Electric Distribution Companies Measuring Logistics in Brazil

Anselmo Cardoso de Paiva, Artur A. Silva, Italo Francyles Santos da Silva, 2019, Proceedings of the 25th International Congress of Mechanical Engineering.

Lung Nodules Classification in CT Images Using Simpson's Index, Geometrical Measures and One-Class SVM

Anselmo Cardoso de Paiva, Geraldo Braz Junior, Cleriston Araujo da Silva, 2009, MLDM.

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

Anselmo Cardoso de Paiva, Geraldo Braz Junior, Marcelo Gattass, 2018, Multimedia Tools and Applications.

Glaucoma Diagnosis over Eye Fundus Image through Deep Features

Anselmo Cardoso de Paiva, Geraldo Braz Junior, João Dallyson Sousa de Almeida, 2018, 2018 25th International Conference on Systems, Signals and Image Processing (IWSSIP).

Automatic Eye Detection in Human Faces Using Geostatistical Functions and Support Vector Machines

Anselmo Cardoso de Paiva, Aristófanes Corrêa Silva, João Dallyson Sousa de Almeida, 2011, ICIAR.

Identificando a Paralisia do Sexto Nervo Ótico em Vı́deos Através de Redes Neurais Convolucionais e Curvatura Isophotes

Anselmo Cardoso de Paiva, Geraldo Braz Junior, João Dallyson Sousa de Almeida, 2019 .

An ergonomic evaluation method using a mobile depth sensor and pose estimation

Antonio José G. Busson, Sérgio Colcher, Anselmo Cardoso de Paiva, 2019, WebMedia.

PhotoGeo: a photo digital library with spatial-temporal support and self-annotation

Marco A. Casanova, Cláudio de Souza Baptista, Yuri Almeida Lacerda, 2011, Multimedia Tools and Applications.

Automatic Ocular Alignment Evaluation for Strabismus Detection Using Index of Phylogenetic Diversity and Support Vector Machine

Anselmo Cardoso de Paiva, João Dallyson Sousa de Almeida, Thayane De O. Simões, 2019, Anais do Workshop de Visão Computacional (WVC).

A mass classification using spatial diversity approaches in mammography images for false positive reduction

Anselmo Cardoso de Paiva, Geraldo Braz Junior, Marcelo Gattass, 2013, Expert Syst. Appl..

Infrastructures for Development of Context-Aware Mobile Applications

Cláudio de Souza Baptista, José Eustáquio Rangel de Queiroz, Anselmo Cardoso de Paiva, 2011 .

Um MéToDo para a CompressãO de Dados VoluméTricos Baseado na Transformada do Cosseno Local

Anselmo Cardoso de Paiva, A. Paiva, 2001 .

Methodology Based on Texture, Color and Shape Features For Traffic Light Detection and Recognition.

Anselmo Cardoso de Paiva, Areolino de Almeida Neto, Julio Cesar da Silva Soares, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

On Performance Evaluation of Web GIS Applications

Cláudio de Souza Baptista, Anselmo Cardoso de Paiva, Fábio Luiz Leite, 2005, 16th International Workshop on Database and Expert Systems Applications (DEXA'05).

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.

A Recommender for Resource Allocation in Compute Clouds Using Genetic Algorithms and SVR

Anselmo Cardoso de Paiva, João Dallyson Sousa de Almeida, Thiago Nelson Faria Dos Reis, 2019, IEEE Latin America Transactions.

Classification of breast tissues using Moran's index and Geary's coefficient as texture signatures and SVM

Alexandre César Muniz de Oliveira, Anselmo Cardoso de Paiva, Geraldo Braz Junior, 2009, Comput. Biol. Medicine.

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.

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.

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.

Sclera Segmentation in Face Images Using Image Foresting Transform

Anselmo Cardoso de Paiva, Geraldo Braz Junior, Aristófanes Corrêa Silva, 2017, CIARP.

Tear Film Classification Using Phylogenetic Diversity Indexes as Texture Descriptor

Anselmo Cardoso de Paiva, Geraldo Braz Junior, Aristófanes Corrêa Silva, 2018, 2018 IEEE Symposium on Computers and Communications (ISCC).

Detection of Masses in Mammographic Images Using Simpson's Diversity Index in Circular Regions and SVM

Anselmo Cardoso de Paiva, Aristófanes Corrêa Silva, André Pereira Nunes, 2009, MLDM.

Automatic Ocular Alignment Evaluation for Strabismus Detection Using U-NET and ResNet Networks

Anselmo Cardoso de Paiva, Aristófanes Corrêa Silva, João Dallyson Sousa de Almeida, 2019, BRACIS.

Lung Structure Classification Using 3D Geometric Measurements and SVM

Anselmo Cardoso de Paiva, Aristófanes Corrêa Silva, João Rodrigo Ferreira da Silva Sousa, 2007, CIARP.

Optimized Deep Learning Architecture for the Diagnosis of Pneumonia Through Chest X-Rays

Anselmo Cardoso de Paiva, Gabriel Garcez Barros Sousa, Vandécia Rejane Monteiro Fernandes, 2019, ICIAR.

A Deep Approach for Handwritten Musical Symbols Recognition

Anselmo Cardoso de Paiva, Geraldo Braz Junior, João Dallyson Sousa de Almeida, 2016, WebMedia.

Comparison of Support Vector Machines and Bayesian Neural Networks Performance for Breast Tissues Using geostatistical Functions in Mammographic Images

Anselmo Cardoso de Paiva, Geraldo Braz Junior, Aristófanes Corrêa Silva, 2010, Int. J. Comput. Intell. Appl..

AGITO: Virtual Reality Environment for Power Systems Substations Operators Training

Anselmo Cardoso de Paiva, Geraldo Braz Junior, Aristófanes Corrêa Silva, 2014, AVR.

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..

SPINAL CORD SEGMENTATION AS OAR IN PLANNING CT FOR RADIOTHERAPY USING HISTOGRAM MATCHING, TEMPLATE MATCHING, AND U-NET

Anselmo Cardoso de Paiva, João Otávio Bandeira Diniz, Aristófanes C. Silva, 2020 .

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.

Temporal analysis of lung lesions through dynamic shape features

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

Diagnosis of lung nodule using Moran’s index and Geary’s coefficient in computerized tomography images

Anselmo Cardoso de Paiva, Aristófanes Corrêa Silva, Rodolfo Acatauassu Nunes, 2007, Pattern Analysis and Applications.

Classification of breast tissues using Getis-Ord statistics and support vector machine

Alexandre César Muniz de Oliveira, Anselmo Cardoso de Paiva, Geraldo Braz Junior, 2009, Intell. Decis. Technol..

Statistical tools for the temporal analysis and classification of lung lesions

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

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.

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..

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..

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.

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.

A False Positive Reduction in Mass Detection Approach using Spatial Diversity Analysis

Anselmo Cardoso de Paiva, Geraldo Braz Junior, Aristófanes Corrêa Silva, 2013, eTELEMED 2013.

Diagnosis of breast tissue in mammography images based local feature descriptors

Anselmo Cardoso de Paiva, Geraldo Braz Junior, João Otávio Bandeira Diniz, 2018, Multimedia Tools and Applications.

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.

A multiresolution approach for Internet GIS applications

Cláudio de Souza Baptista, Anselmo Cardoso de Paiva, Fábio Luiz Leite, 2004, Proceedings. 15th International Workshop on Database and Expert Systems Applications, 2004..

Evaluation of Melanoma Diagnosis using Deep Features

Anselmo Cardoso de Paiva, Geraldo Braz Junior, João Dallyson Sousa de Almeida, 2018, 2018 25th International Conference on Systems, Signals and Image Processing (IWSSIP).

Modeling of 3D Environments for Collaborative Immersive Applications Scenarios

João Leite, Anselmo Cardoso de Paiva, Ivana Marcia Oliveira Maia, 2018 .

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..

Image Processing of Artworks for Construction of 3D Models Accessible to the Visually Impaired

Anselmo Cardoso de Paiva, Geraldo Braz Junior, João Dallyson Sousa de Almeida, 2018 .

Visualization of Power Systems Based on Panoramic Augmented Environments

Anselmo Cardoso de Paiva, Geraldo Braz Junior, Aristófanes Corrêa Silva, 2014, AVR.

An automatic method for lung segmentation and reconstruction in chest X-ray using deep neural networks

Anselmo Cardoso de Paiva, João Otávio Bandeira Diniz, Aristófanes Corrêa Silva, 2019, Comput. Methods Programs Biomed..

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.

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..

Mask Overlaying: a Deep Learning Approach for Individual Optic Cup Segmentation from Fundus Image

Anselmo Cardoso de Paiva, Geraldo Braz Junior, João Dallyson Sousa de Almeida, 2020, 2020 International Conference on Systems, Signals and Image Processing (IWSSIP).

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..

Diagnosis of Lung Nodule Using Reinforcement Learning and Geometric Measures

Anselmo Cardoso de Paiva, Aristófanes Corrêa Silva, Areolino de Almeida Neto, 2005, MLDM.

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.

A context-aware solution to annotate people in mobile devices

Cláudio de Souza Baptista, Yuri Almeida Lacerda, Anselmo Cardoso de Paiva, 2009, MoMM.

Evaluation of Melanoma Diagnosis using Imbalanced Learning

Anselmo Cardoso de Paiva, João Dallyson Sousa de Almeida, Alan Carlos de Moura Lima, 2018 .

Visão Computacional Aplicada para Orientação de uma Cadeira de Rodas Motorizada

Anselmo Cardoso de Paiva, José Aranha, Paulo N. S. do Carmo, 2018 .

Comparison of FLDA, MLP and SVM in Diagnosis of Lung Nodule

Alexandre César Muniz de Oliveira, Anselmo Cardoso de Paiva, Aristófanes Corrêa Silva, 2005, MLDM.

A Comparison of SVM Versus Naive-Bayes Techniques for Sentiment Analysis in Tweets: A Case Study with the 2013 FIFA Confederations Cup

Cláudio de Souza Baptista, Anselmo Cardoso de Paiva, André Luiz Firmino Alves, 2014, WebMedia.

Automatic Eye Detection Using Semivariogram Function and Support Vector Machine

Anselmo Cardoso de Paiva, Aristófanes Corrêa Silva, João Dallyson Sousa de Almeida, 2010 .

Web-Based GIS

Cláudio de Souza Baptista, Anselmo Cardoso de Paiva, 2009 .

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

Anselmo Cardoso de Paiva, Marcelo Gattass, Paulo Cezar Pinto Carvalho, 2005, IbPRIA.

Transfer Learning Method Evaluation for Automatic Pediatric Chest X-Ray Image Segmentation

Anselmo Cardoso de Paiva, Luis Rivero, Geraldo Braz Junior, 2020, 2020 International Conference on Systems, Signals and Image Processing (IWSSIP).

Application on Reinforcement Learning for Diagnosis Based on Medical Image

Anselmo Cardoso de Paiva, Aristófanes Corrêa Silva, Areolino de Almeida Neto, 2008 .

Lung Nodules Classification in CT Images Using Shannon and Simpson Diversity Indices and SVM

Anselmo Cardoso de Paiva, Aristófanes Corrêa Silva, Leonardo Barros Nascimento, 2012, MLDM.

Diagnosis of Non-Small Cell Lung Cancer Using Phylogenetic Diversity in Radiomics Context

Anselmo Cardoso de Paiva, João Otávio Bandeira Diniz, Aristófanes Corrêa Silva, 2018, ICIAR.

Hybrid Capsule Network Architecture Estimation for Melanoma Detection

Anselmo Cardoso de Paiva, Geraldo Braz Junior, Simara Vieira da Rocha, 2020, 2020 International Conference on Systems, Signals and Image Processing (IWSSIP).

A Visualization Method for Power Systems using Geographical Views and Thiessen Polygons

Cláudio de Souza Baptista, Anselmo Cardoso de Paiva, Fábio Luiz Leite, 2011 .

MÉTODO COMPUTACIONAL PARA MEDIÇÃO AUTOMÁTICA DO DIÂMETRO LIMBAR

Anselmo Cardoso de Paiva, Geraldo Braz Junior, João Dallyson Sousa de Almeida, 2020 .

Detection of mass regions in mammograms by bilateral analysis adapted to breast density using similarity indexes and convolutional neural networks

Anselmo Cardoso de Paiva, João Otávio Bandeira Diniz, Marcelo Gattass, 2018, Comput. Methods Programs Biomed..

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..

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..

Management of Large Hydroelectric Reservoirs Surrounding Areas Using GIS and Remote Sensing

Cláudio de Souza Baptista, Cláudio Elízio Calazans Campelo, Anselmo Cardoso de Paiva, 2015, EGOVIS.

Classification of Normal, Benign and Malignant Tissues Using Co-occurrence Matrix and Bayesian Neural Network in Mammographic Images

Anselmo Cardoso de Paiva, Aristófanes Corrêa Silva, Leonardo de Oliveira Martins, 2006, 2006 Ninth Brazilian Symposium on Neural Networks (SBRN'06).

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.

Surgical planning for horizontal strabismus using Support Vector Regression

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

Migratool: Towards a Web-Based Spatial Database Migration Tool

Cláudio de Souza Baptista, Anselmo Cardoso de Paiva, Fábio Luiz Leite, 2005, 16th International Workshop on Database and Expert Systems Applications (DEXA'05).

New Approaches for Geographic Location Propagation in Digital Photograph Collections

Cláudio de Souza Baptista, Anselmo Cardoso de Paiva, Hugo Feitosa de Figueirêdo, 2014, ICEIS.

Computer-Aided Methodology for Syndromic Strabismus Diagnosis

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

Methodology for automatic detection of lung nodules in computerized tomography images

Anselmo Cardoso de Paiva, Aristófanes Corrêa Silva, Rodolfo Acatauassu Nunes, 2010, Comput. Methods Programs Biomed..

Automatic method for quantitative automatic evaluation in dynamic renal scintilography images

Steve Ataky Tsham Mpinda, Anselmo Cardoso de Paiva, Marcelo Gattass, 2017, Multimedia Tools and Applications.

Automatic Prostate Segmentation on 3D MRI Scans Using Convolutional Neural Networks with Residual Connections and Superpixels

Anselmo Cardoso de Paiva, Aristófanes Corrêa Silva, Giovanni Lucca França da Silva, 2020, 2020 International Conference on Systems, Signals and Image Processing (IWSSIP).

A Spatial and Temporal Sentiment Analysis Approach Applied to Twitter Microtexts

Cláudio de Souza Baptista, Anselmo Cardoso de Paiva, André Luiz Firmino Alves, 2015, J. Inf. Data Manag..

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.

Evolving Convolutional Neural Networks for Glaucoma Diagnosis

Anselmo Cardoso de Paiva, Geraldo Braz Junior, João Dallyson Sousa de Almeida, 2018, Brazilian Journal of Health Review.

Classification of breast masses in mammograms using geometric and topological feature maps and shape distribution

Anselmo Cardoso de Paiva, Geraldo Braz Junior, Aristófanes Corrêa Silva, 2020, Research on Biomedical Engineering.

Semivariogram Applied for Classification of Benign and Malignant Tissues in Mammography

Alexandre César Muniz de Oliveira, Anselmo Cardoso de Paiva, Aristófanes Corrêa Silva, 2006, ICIAR.

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.

Augmented visualization using homomorphic filtering and Haar-based natural markers for power systems substations

Anselmo Cardoso de Paiva, Geraldo Braz Junior, Marcelo Gattass, 2018, Comput. Ind..

Using Open Source GIS in e-Government Applications

Cláudio de Souza Baptista, Anselmo Cardoso de Paiva, Fábio Luiz Leite, 2004, EGOV.

Spinal cord detection in planning CT for radiotherapy through adaptive template matching, IMSLIC and convolutional neural networks

Anselmo Cardoso de Paiva, João Otávio Bandeira Diniz, Aristófanes Corrêa Silva, 2019, Comput. Methods Programs Biomed..

Towards Metadata Analysis on Opinionated Content in Tweets

Cláudio de Souza Baptista, Anselmo Cardoso de Paiva, André Luiz Firmino Alves, 2016, ICEIS.

Segmentation of the Retinal Reflex in Brückner Test Images Using U-Net Convolutional Network

Anselmo Cardoso de Paiva, Italo Francyles Santos da Silva, Geraldo Braz Junior, 2018, ICIAR.

Study of geostatistical functions applied to automatic eye detection

Anselmo Cardoso de Paiva, João Dallyson Sousa de Almeida, Aristófanes C. Silva, 2012 .

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

Anselmo Cardoso de Paiva, Geraldo Braz Junior, Aristófanes Corrêa Silva, 2007, ICIAR.

Multilevel CNN for Angle Closure Glaucoma Detection using AS-OCT Images

Anselmo Cardoso de Paiva, Geraldo Braz Junior, João Dallyson Sousa de Almeida, 2020, 2020 International Conference on Systems, Signals and Image Processing (IWSSIP).

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..

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.

CONTROLE DE ORIENTAÇÃO E VELOCIDADE DE CADEIRA DE RODAS POR VISÃO COMPUTACIONAL

Anselmo Cardoso de Paiva, Shigeaki L. Lima, Wener Borges de Sampaio, 2018 .

Improving Active Shape Models Robustness Towards Locating Facial Landmarks In Profile Contour

Kelson Rômulo Teixeira Aires, Anselmo Cardoso de Paiva, Ricardo Teles Freitas, 2020, 2020 International Conference on Systems, Signals and Image Processing (IWSSIP).

Semi-automatic photograph tagging by combining context with content-based information

Marco A. Casanova, Cláudio de Souza Baptista, Anselmo Cardoso de Paiva, 2015, Expert Syst. Appl..

Location Information Management in LBS Applications

Cláudio de Souza Baptista, Anselmo Cardoso de Paiva, Aristófanes Corrêa Silva, 2009 .

An Immersive Virtual Reality Application for Collaborative Training of Power Systems Operators

Anselmo Cardoso de Paiva, Geraldo Braz Junior, Paulo Roberto Jansen dos Reis, 2015, 2015 XVII Symposium on Virtual and Augmented Reality.

Expandindo e utilizando informações de contexto para a sugestao de anotações de fotografias digitais

Cláudio de Souza Baptista, Yuri Almeida Lacerda, Anselmo Cardoso de Paiva, 2008, WebMedia.

Segmentação de Vértebras e Diagnóstico de Fraturas em Imagens de Ressonância Magnética Utilizando U-Net 3D e Deep Belief Network

Anselmo Cardoso de Paiva, João Otávio Bandeira Diniz, Anderson Matheus Passos Paiva, 2019 .

Lung nodule classification based on shape distributions

Anselmo Cardoso de Paiva, Geraldo Braz Junior, Aristófanes Corrêa Silva, 2016, SAC.

Sign Language Recognition Based on 3D Convolutional Neural Networks

Anselmo Cardoso de Paiva, Geraldo Braz Junior, João Dallyson Sousa de Almeida, 2018, ICIAR.

Computer-Aided Detection and Diagnosis of Breast Cancer Using Machine Learning, Texture and Shape Features

Anselmo Cardoso de Paiva, Geraldo Braz Junior, Aristófanes Corrêa Silva, 2012 .

Esophagus segmentation from planning CT images using an atlas-based deep learning approach

Anselmo Cardoso de Paiva, Aristófanes Corrêa Silva, João Otávio Bandeira Diniz, 2020, Comput. Methods Programs Biomed..

Lung nodules diagnosis based on evolutionary convolutional neural network

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

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.

Classification of Breast Tissues in Mammographic Images in Mass and Non-mass Using McIntosh's Diversity Index and SVM

Anselmo Cardoso de Paiva, Aristófanes Corrêa Silva, Péterson Moraes de Sousa Carvalho, 2012, MLDM.

A Progressive Transmission Scheme for Vector Maps in Low-Bandwidth Environments Based on Device Rendering

Cláudio de Souza Baptista, Anselmo Cardoso de Paiva, Mário Meireles Teixeira, 2006, ER.

Computational methodology for automatic detection of strabismus in digital images through Hirschberg test

Anselmo Cardoso de Paiva, Aristófanes Corrêa Silva, João Dallyson Sousa de Almeida, 2012, Comput. Biol. Medicine.

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

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

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..

A Service-Oriented Architecture for Progressive Transmission of Maps

Cláudio de Souza Baptista, Anselmo Cardoso de Paiva, Mário Meireles Teixeira, 2007, GeoInfo.

Glaucoma diagnosis in fundus eye images using diversity indexes

Anselmo Cardoso de Paiva, Geraldo Braz Junior, Marcelo Gattass, 2018, Multimedia Tools and Applications.

Content based mammography images retrieval using Ripley's K function

Cláudio de Souza Baptista, Anselmo Cardoso de Paiva, Aristófanes Corrêa Silva, 2009, ICIS '09.

Comparing results of thermographic images based diagnosis for breast diseases

Aura Conci, Anselmo Cardoso de Paiva, Aristófanes Corrêa Silva, 2014, IWSSIP 2014 Proceedings.

Detection of masses in mammographic images using geometry, Simpson's Diversity Index and SVM

Anselmo Cardoso de Paiva, Aristófanes Corrêa Silva, Andre Pereira Nunes, 2010 .

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..

Evolving Convolutional Neural Networks for Glaucoma Diagnosis

Anselmo Cardoso de Paiva, Geraldo Braz Junior, João Dallyson Sousa de Almeida, 2020, Brazilian Journal of Health Review.

Classification of brain lesions on magnetic resonance imaging using superpixel, PSO and convolutional neural network

Anselmo Cardoso de Paiva, Giovanni Lucca França da Silva, Aristófanes C. Silva, 2019 .

Authoring and Visualization Tool for Augmented Scenic Performances Prototyping and Experience

Anselmo Cardoso de Paiva, Ivana Marcia Oliveira Maia, Victor Rogério Sousa Ferreira, 2020, 2020 22nd Symposium on Virtual and Augmented Reality (SVR).

Automatic segmentation of masses in digital mammograms using particle swarm optimization and graph clustering

Anselmo Cardoso de Paiva, Aristófanes Corrêa Silva, Otilio Paulo da Silva Neto, 2015, 2015 International Conference on Systems, Signals and Image Processing (IWSSIP).

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.

Mobile Application for Crowdmapping Accessibility Places and Generation of Accessible Routes

João Leite, Cláudio de Souza Baptista, Anselmo Cardoso de Paiva, 2018 .

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

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

Personalized Path Finding in Road Networks

Cláudio de Souza Baptista, Anselmo Cardoso de Paiva, Luciana Cavalcante de Menezes, 2008, 2008 Fourth International Conference on Networked Computing and Advanced Information Management.

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..

Surgical planning of horizontal strabismus using multiple output regression tree

Anselmo Cardoso de Paiva, Geraldo Braz Junior, Aristófanes Corrêa Silva, 2021, Comput. Biol. Medicine.

Using Machine Learning for Risk Classification in Brazilian Federal Voluntary Transfers

Cláudio de Souza Baptista, Anselmo Cardoso de Paiva, Daniel Lima Gomes, 2021, EGOVIS.

Using Cross Lingual Learning for Detecting Hate Speech in Portuguese

Cláudio de Souza Baptista, Anselmo Cardoso de Paiva, Anderson Almeida Firmino, 2021, DEXA.

Automatic ocular version evaluation in images using random forest

Anselmo Cardoso de Paiva, Geraldo Braz Junior, Aristófanes Corrêa Silva, 2021, Expert Syst. Appl..

A deep learning method with residual blocks for automatic spinal cord segmentation in planning CT

Anselmo Cardoso de Paiva, Aristófanes Corrêa Silva, João Otávio Bandeira Diniz, 2022, Biomed. Signal Process. Control..

A Coarse to Fine Corneal Ulcer Segmentation Approach Using U-net and DexiNed in Chain

Rodrigo M. S. Veras, João Manuel R. S. Tavares, Anselmo Cardoso de Paiva, 2021, CIARP.

Liver segmentation from computed tomography images using cascade deep learning

Anselmo Cardoso de Paiva, Aristófanes Corrêa Silva, João Otávio Bandeira Diniz, 2021, Comput. Biol. Medicine.

An automatic method for segmentation of liver lesions in computed tomography images using deep neural networks

Anselmo Cardoso de Paiva, Aristófanes Corrêa Silva, Marcelo Gattass, 2021, Expert Syst. Appl..

Forecasting of individual electricity consumption using Optimized Gradient Boosting Regression with Modified Particle Swarm Optimization

Anselmo Cardoso de Paiva, Luis Fernando Marin Sepulveda, Aristófanes Corrêa Silva, 2021, Eng. Appl. Artif. Intell..

Classification of Malignant and Benign Tissues in Mammography using Dental Shape Descriptors and Shape Distribution

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