A. Silva

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 reconstruction of the lung in CT affected by COVID-19 using deep learning and adaptive convex hull

A. Silva, Luan de Souza Silva, J. O. Diniz, 2021, 17th International Symposium on Medical Information Processing and Analysis.

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..

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

Marcelo Gattass, Aristófanes C. Silva, A. Silva, 2004, Pattern Analysis and Applications.

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).

Solid Indeterminate Nodules with a Radiological Stability Suggesting Benignity: A Texture Analysis of Computed Tomography Images Based on the Kurtosis and Skewness of the Nodule Volume Density Histogram

A. Silva, A. Lopes, R. A. Nunes, 2019, Pulmonary medicine.

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 .

Laboratório VISGRAF Instituto de Matemática Pura e Aplicada Algorithms for Assisted Diagnosis of Solitary Lung Nodules in Computerized Tomography Images

A. Silva, M. Gattass, P. Carvalho, 2004 .

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.

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..

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..

Relationship between the Phase Angle and Volume of Tumours in Patients with Lung Cancer

A. Silva, A. Lopes, J. Koury, 2012, Annals of Nutrition and Metabolism.

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.

Direct hydrocarbon indicators based on long short-term memory neural network

Marcelo Gattass, Aristófanes Corrêa Silva, Luiz Fernando Santos, 2019, SEG Technical Program Expanded Abstracts 2019.

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.

Computational method for aid in the diagnosis of sixth optic nerve palsy through digital videos

Jorge Antonio Meireles Teixeira, Geraldo Braz Junior, A. Silva, 2022, Comput. Biol. Medicine.

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

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

Framework for registration and recognition of free-hand gestures in digital games

Paulo Roberto Jansen dos Reis, P. S. Diniz, A. Silva, 2017 .

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.

Hybrid analysis for indicating patients with breast cancer using temperature time series

Débora C. Muchaluat-Saade, Aura Conci, Aristófanes Corrêa Silva, 2016, Comput. Methods Programs Biomed..

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.

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.

Research Article Genetic diversity of the mangaba GeneBank using microsatellites

A. Silva, V. Azevedo, A. Lédo, 2019, Genetics and Molecular Research.

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).

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.

Taxonomic Indexes for Automatic Prostate Segmentation on 3D MRI Scans Using Superpixels and Probabilistic Atlas

Geraldo Braz Junior, Aristófanes Corrêa Silva, Giovanni Lucca França da Silva, 2020, 2020 International Conference on Systems, Signals and Image Processing (IWSSIP).

A Neural-Bayesian Approach For Predicting Smear Negative Pulmonary Tuberculosis

Aristófanes Corrêa Silva, Leonardo de Oliveira Martins, Alcione M. dos Santos, 2016 .

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..

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.

Superpixel-based deep convolutional neural networks and active contour model for automatic prostate segmentation on 3D MRI scans

Aristófanes C. Silva, P. S. Diniz, Jonnison L. Ferreira, 2020, Medical & Biological Engineering & Computing.

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..

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..

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.

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.

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.

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..

Natural gas detection in onshore data using transfer learning from a LSTM pre-trained with offshore data

Aristófanes Corrêa Silva, Marcelo Gattass, Roberto Ribeiro, 2020 .

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.

Multicriterion Homogeneity Metric for Nodule Segmentation and Detection in Computed Tomography.

Raul Queiroz Feitosa, Aristófanes Corrêa Silva, Rodolfo Acatauassu Nunes, 2010 .

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.

Meta-Data Construction for Selection of Breast Tissue Biopsy Slides Image Classifier to Identify Ductal Carcinoma

Luis Fernando Marin Sepulveda, João Otávio Bandeira Diniz, Aristofanes Correa Silva, 2019, BRACIS.

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.

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.

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.

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..

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..

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..

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.

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.

Prediction of unregistered power consumption lawsuits and its correlated factors based on customer data using extreme gradient boosting model

Geraldo Braz Junior, Francisco Y. Oliveira, Aristófanes Corrêa Silva, 2019, 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC).

Visualization of Density Variation in Lung Nodules

Paulo Cezar Pinto Carvalho, Aristófanes Corrêa Silva, A. Silva, 2002 .

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..

AGITO: Virtual Reality Environment for Power Systems Substations Operators Training

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

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..

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..

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.

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 lung nodule using Gini coefficient and skeletonization in computerized tomography images

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

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.

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.

Application on Reinforcement Learning for Diagnosis Based on Medical Image

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

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..

Developing software systems to Big Data platform based on MapReduce model: An approach based on Model Driven Engineering

Zair Abdelouahab, Denivaldo Lopes, Aristófanes Corrêa Silva, 2017, Inf. Softw. Technol..

A Two-Stage Method for Polyp Detection in Colonoscopy Images Based on Saliency Object Extraction and Transformers

A. Silva, M. Coimbra, A. C. de Paiva, 2023, IEEE Access.

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

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

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..

Analysis of Ensemble methods applied to Lithology Classification from Well Logs

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

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

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