A. Paiva

发表

Taxonomic indexes for differentiating malignancy of lung nodules on CT images

G. L. F. D. Silva, Antônio Oséas de Carvalho Filho, A. Silva, 2016 .

Texture analysis of masses in digitized mammograms using Gleason and Menhinick diversity indexes

A. Silva, A. Paiva, S. V. Rocha, 2014 .

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

Stelmo Magalhães Barros Netto, José Denes Lima Araújo, Luana Batista da Cruz, 2021, Multim. Tools Appl..

A Service-Oriented Architecture for Progressive Transmission of Maps

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

An Approach for Thyroid Nodule Analysis Using Thermographic Images

A. C. Silva, A. Conci, A. Paiva, 2017 .

DIAGNOSIS OF BREAST REGIONS THROUGH THE USE OF RIPLEY'S K FUNCTION AND SVM

A. Silva, A. Paiva, S. V. Rocha, 2012 .

Classification into normal and abnormal breast tissues using NMF and SVM

A. Silva, A. Paiva, G. Braz, 2012, 2012 19th International Conference on Systems, Signals and Image Processing (IWSSIP).

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 .

Time2Vec transformer: a time series approach for gas detection in seismic data

A. Silva, A. Paiva, M. Gattass, 2022, SAC.

Informatics and Computerized Tomography Aiding Detection and Diagnosis of Solitary Lung Cancer

A. Silva, A. Paiva, M. Gattass, 2011 .

Location Information Management in LBS Applications

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

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.

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.

A New Database for Breast Research with Infrared Image

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

Surgical planning of horizontal strabismus using multiple output regression tree

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

Automatic ocular version evaluation in images using random forest

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

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.

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.

Using Machine Learning for Risk Classification in Brazilian Federal Voluntary Transfers

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

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

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

Using Cross Lingual Learning for Detecting Hate Speech in Portuguese

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

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

A. C. Silva, Anselmo Cardoso de Paiva, Simara Vieira da Rocha, 2017 .

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.

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..

A Tool for Spatially Based Prediction of Consumer Lawsuits against Electric Power Companies

Erika W. B. A. L. Alves, Johnatan Carvalho Souza, A. Paiva, 2020 .

On Improving Geotag Quality in Photo Collections

Yuri Almeida Lacerda, João Paulo Ribeiro da Silva, A. Paiva, 2013 .

Automatic segmentation of retinal layers in OCT images with intermediate age-related macular degeneration using U-Net and DexiNed

A. Silva, A. Paiva, M. Gattass, 2021, PloS one.

Methods for segmentation of spinal cord and esophagus in radiotherapy planning computed tomography

A. Silva, A. Paiva, J. O. Diniz, 2021, Anais Estendidos da XXXIV Conference on Graphics, Patterns and Images (SIBRAPI Estendido 2021).

Automatic method for classifying COVID-19 patients based on chest X-ray images, using deep features and PSO-optimized XGBoost

Luana Batista da Cruz, G. L. F. D. Silva, A. Silva, 2021, Expert Systems with Applications.

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).

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

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

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.

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).

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..

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).

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 .

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..

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.

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).

Computer-Aided Methodology for Syndromic Strabismus Diagnosis

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

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.

Semivariogram and Semimadogram functions as descriptors for AMD diagnosis on SD-OCT topographic maps using Support Vector Machine

A. Paiva, G. Braz, D. L. Gomes, 2018, BioMedical Engineering OnLine.

COVID-19 automatic diagnosis with CT images using the novel Transformer architecture

A. Paiva, M. M. Ferreira, Geraldo Braz Júnior, 2021, Anais do XXI Simpósio Brasileiro de Computação Aplicada à Saúde (SBCAS 2021).

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

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

Sign Language Recognition Based on 3D Convolutional Neural Networks

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

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..

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..

Data Augmentation for Face Recognition with CNN Transfer Learning

Laurindo Britto, Rodrigo Veras, Kelson Aires, 2020, 2020 International Conference on Systems, Signals and Image Processing (IWSSIP).

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.

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 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.

Infrastructures for Development of Context-Aware Mobile Applications

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

Methodology for breast surgery simulation using finite elements method and models reconstructed from mammographic images

Aura Conci, Edgar M. Diniz, Aristofanes C. Silva, 2011, 2011 18th International Conference on Systems, Signals and Image Processing.

Diagnosis of breast tissue in mammography images based local feature descriptors

Johnatan Carvalho Souza, A. Silva, A. Paiva, 2018, Multimedia Tools and Applications.

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.

A context-aware solution to annotate people in mobile devices

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

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).

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.

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.

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..

Classification of Histopathological Images of Penile Cancer using DenseNet and Transfer Learning

Caio Eduardo Falcão Matos, A. Paiva, G. B. Junior, 2022, VISIGRAPP.

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.

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..

Biomedical use of infrared images

A. Conci, T. B. Borchartt, R. Resmini, 2011, 2011 18th International Conference on Systems, Signals and Image Processing.

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..

Surgical planning for horizontal strabismus using Support Vector Regression

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

An automatic approach for heart segmentation in CT scans through image processing techniques and Concat-U-Net

A. Silva, A. Paiva, J. O. Diniz, 2022, Expert Syst. Appl..

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..

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.

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.

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.

Comparing results of thermographic images based diagnosis for breast diseases

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

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..

Glaucoma diagnosis in fundus eye images using diversity indexes

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

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.

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..

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.

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..

Temporal analysis of lung lesions through dynamic shape features

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

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.

Semivariogram and Semimadogram functions as descriptors for AMD diagnosis on SD-OCT topographic maps using Support Vector Machine

Aristófanes C. Silva, Geraldo Braz, Anselmo C. Paiva, 2018, BioMedical Engineering OnLine.

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.

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 Reinforcement Learning and Geometric Measures

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

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.

Improving hate speech detection using Cross-Lingual Learning

Anderson Almeida Firmino, A. Paiva, C. Baptista, 2023, Expert Syst. Appl..

Multiclass Legal Judgment Outcome Prediction for Consumer Lawsuits using XGBoost and TPE

Geraldo Braz Junior, Aristófanes Corrêa Silva, Erika W. B. A. L. Alves, 2020, 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Face detection using Shannon diversity index

Aristofanes C. Silva, Anselmo C. Paiva, Artur Bernardo Silva Reis, 2011, 2011 18th International Conference on Systems, Signals and Image Processing.

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.

Application on Reinforcement Learning for Diagnosis Based on Medical Image

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

Light Intensity Effects on Growth and Nutrient-use Efficiency of Tropical Legume Cover Crops

A. Paiva, N. Fageria, V. Baligar, 2008 .

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..

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.

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..

Automatic Power Consumption Reading on Digital Meters based on Adaptive Thresholds and Multiresolution Templates

P. S. Diniz, R. C. S. Marques, W. K. R. Figueiredo, 2018 .

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

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