Aristófanes Corrêa Silva
Orcid: 0000-0003-0423-2514
According to our database1,
Aristófanes Corrêa Silva
authored at least 126 papers
between 2004 and 2024.
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Bibliography
2024
Multim. Tools Appl., March, 2024
2023
Generalization of deep learning models for natural gas indication in 2D seismic data.
Pattern Recognit., September, 2023
Comput. methods Biomech. Biomed. Eng. Imaging Vis., May, 2023
Detection of potential gas accumulations in 2D seismic images using spatio-temporal, PSO, and convolutional LSTM approaches.
Expert Syst. Appl., April, 2023
A Two-Stage Method for Polyp Detection in Colonoscopy Images Based on Saliency Object Extraction and Transformers.
IEEE Access, 2023
Proceedings of the Intelligent Systems - 12th Brazilian Conference, 2023
2022
A cascade approach for automatic segmentation of cardiac structures in short-axis cine-MR images using deep neural networks.
Expert Syst. Appl., 2022
An automatic approach for heart segmentation in CT scans through image processing techniques and Concat-U-Net.
Expert Syst. Appl., 2022
Kidney tumor segmentation from computed tomography images using DeepLabv3+ 2.5D model.
Expert Syst. Appl., 2022
Computational method for aid in the diagnosis of sixth optic nerve palsy through digital videos.
Comput. Biol. Medicine, 2022
Comput. Biol. Medicine, 2022
A deep learning method with residual blocks for automatic spinal cord segmentation in planning CT.
Biomed. Signal Process. Control., 2022
Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022
Practical Findings from Applying Quality Assurance Activities in the Development of Three Information Systems for Power Companies.
Proceedings of the 24th International Conference on Enterprise Information Systems, 2022
Detection and Delimitation of Natural Gas in Seismic Images using MLP-Mixer and U-Net.
Proceedings of the 24th International Conference on Enterprise Information Systems, 2022
Defining an A/B Testing Process for Usability and User Experience Evaluation Through the Analysis of the Results of a Literature Review.
Proceedings of the HCI International 2022 - Late Breaking Papers. Design, User Experience and Interaction, 2022
Defining Requirements for the Development of Useful and Usable Chatbots: An Analysis of Quality Attributes from Academy and Industry.
Proceedings of the Human-Computer Interaction. User Experience and Behavior, 2022
2021
Segmentation and quantification of COVID-19 infections in CT using pulmonary vessels extraction and deep learning.
Multim. Tools Appl., 2021
Expert Syst. Appl., 2021
Automatic method for classifying COVID-19 patients based on chest X-ray images, using deep features and PSO-optimized XGBoost.
Expert Syst. Appl., 2021
An automatic method for segmentation of liver lesions in computed tomography images using deep neural networks.
Expert Syst. Appl., 2021
Forecasting of individual electricity consumption using Optimized Gradient Boosting Regression with Modified Particle Swarm Optimization.
Eng. Appl. Artif. Intell., 2021
Bayesian convolutional neural network estimation for pediatric pneumonia detection and diagnosis.
Comput. Methods Programs Biomed., 2021
Comput. Biol. Medicine, 2021
2020
Tear Film Classification in Interferometry Eye Images Using Phylogenetic Diversity Indexes and Ripley's K Function.
IEEE J. Biomed. Health Informatics, 2020
Superpixel-based deep convolutional neural networks and active contour model for automatic prostate segmentation on 3D MRI scans.
Medical Biol. Eng. Comput., 2020
Esophagus segmentation from planning CT images using an atlas-based deep learning approach.
Comput. Methods Programs Biomed., 2020
Interferometer eye image classification for dry eye categorization using phylogenetic diversity indexes for texture analysis.
Comput. Methods Programs Biomed., 2020
Comput. Biol. Medicine, 2020
Breast cancer diagnosis from histopathological images using textural features and CBIR.
Artif. Intell. Medicine, 2020
Multiclass Legal Judgment Outcome Prediction for Consumer Lawsuits using XGBoost and TPE.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
Temporal Convolutional Network applied for Forecasting Individual Monthly Electric Energy Consumption.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
Automatic Prostate Segmentation on 3D MRI Scans Using Convolutional Neural Networks with Residual Connections and Superpixels.
Proceedings of the 2020 International Conference on Systems, Signals and Image Processing, 2020
Proceedings of the 2020 International Conference on Systems, Signals and Image Processing, 2020
Self-Reading by Speech: An End-to-end Speech Recognition Method Applied to the Energy Consumption Measurement on Mobile Devices.
Proceedings of the 2020 International Conference on Systems, Signals and Image Processing, 2020
Taxonomic Indexes for Automatic Prostate Segmentation on 3D MRI Scans Using Superpixels and Probabilistic Atlas.
Proceedings of the 2020 International Conference on Systems, Signals and Image Processing, 2020
2019
Modified Quality Threshold Clustering for Temporal Analysis and Classification of Lung Lesions.
IEEE Trans. Image Process., 2019
Multim. Tools Appl., 2019
Breast cancer detection in mammography using spatial diversity, geostatistics, and concave geometry.
Multim. Tools Appl., 2019
Multim. Tools Appl., 2019
An automatic method for lung segmentation and reconstruction in chest X-ray using deep neural networks.
Comput. Methods Programs Biomed., 2019
Spinal cord detection in planning CT for radiotherapy through adaptive template matching, IMSLIC and convolutional neural networks.
Comput. Methods Programs Biomed., 2019
Comput. Electr. Eng., 2019
Pathophysiological mapping of tumor habitats in the breast in DCE-MRI using molecular texture descriptor.
Comput. Biol. Medicine, 2019
Prediction of unregistered power consumption lawsuits and its correlated factors based on customer data using extreme gradient boosting model.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019
Automatic Ocular Alignment Evaluation for Strabismus Detection Using U-NET and ResNet Networks.
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019
Meta-Data Construction for Selection of Breast Tissue Biopsy Slides Image Classifier to Identify Ductal Carcinoma.
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019
2018
Classification of patterns of benignity and malignancy based on CT using topology-based phylogenetic diversity index and convolutional neural network.
Pattern Recognit., 2018
Classification of malignant and benign lung nodules using taxonomic diversity index and phylogenetic distance.
Medical Biol. Eng. Comput., 2018
Convolutional neural network and texture descriptor-based automatic detection and diagnosis of glaucoma.
Expert Syst. Appl., 2018
Convolutional neural network-based PSO for lung nodule false positive reduction on CT images.
Comput. Methods Programs Biomed., 2018
Detection of white matter lesion regions in MRI using SLIC0 and convolutional neural network.
Comput. Methods Programs Biomed., 2018
Detection of mass regions in mammograms by bilateral analysis adapted to breast density using similarity indexes and convolutional neural networks.
Comput. Methods Programs Biomed., 2018
Classification of breast tissues into mass and non-mass by means of the micro-genetic algorithm, phylogenetic trees, LBP and SVM.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2018
Augmented visualization using homomorphic filtering and Haar-based natural markers for power systems substations.
Comput. Ind., 2018
Automatic methods for diagnosis of glaucoma using texture descriptors based on phylogenetic diversity.
Comput. Electr. Eng., 2018
Method of differentiation of benign and malignant masses in digital mammograms using texture analysis based on phylogenetic diversity.
Comput. Electr. Eng., 2018
Proceedings of the 2018 IEEE Symposium on Computers and Communications, 2018
Diagnosis of Non-Small Cell Lung Cancer Using Phylogenetic Diversity in Radiomics Context.
Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018
2017
Lung-Nodule Classification Based on Computed Tomography Using Taxonomic Diversity Indexes and an SVM.
J. Signal Process. Syst., 2017
Multim. Tools Appl., 2017
Multim. Tools Appl., 2017
Automatic method for quantitative automatic evaluation in dynamic renal scintilography images.
Multim. Tools Appl., 2017
Unsupervised detection of density changes through principal component analysis for lung lesion classification.
Multim. Tools Appl., 2017
Automatic mass detection in mammography images using particle swarm optimization and functional diversity indexes.
Multim. Tools Appl., 2017
Medical Biol. Eng. Comput., 2017
Medical Biol. Eng. Comput., 2017
Computer-aided diagnosis system for lung nodules based on computed tomography using shape analysis, a genetic algorithm, and SVM.
Medical Biol. Eng. Comput., 2017
Computer-Aided Diagnosis of Lung Nodules in Computed Tomography by Using Phylogenetic Diversity, Genetic Algorithm, and SVM.
J. Digit. Imaging, 2017
Developing software systems to Big Data platform based on MapReduce model: An approach based on Model Driven Engineering.
Inf. Softw. Technol., 2017
An Approach for Construction of Augmented Reality Systems using Natural Markers and Mobile Sensors in Industrial Fields.
Int. J. Comput. Commun. Control, 2017
Lung nodule classification using artificial crawlers, directional texture and support vector machine.
Expert Syst. Appl., 2017
Comput. Methods Programs Biomed., 2017
Comput. Methods Programs Biomed., 2017
Semi-automatic methodology for augmented panorama development in industrial outdoor environments.
Adv. Eng. Softw., 2017
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2017
2016
Texture analysis of masses malignant in mammograms images using a combined approach of diversity index and local binary patterns distribution.
Expert Syst. Appl., 2016
Hybrid analysis for indicating patients with breast cancer using temperature time series.
Comput. Methods Programs Biomed., 2016
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016
A simple approach for biometrics: Finger-knuckle prints recognition based on a Sobel filter and similarity measures.
Proceedings of the International Conference on Systems, Signals and Image Processing, 2016
2015
Automatic Detection of Masses in Mammograms Using Quality Threshold Clustering, Correlogram Function, and SVM.
J. Digit. Imaging, 2015
J. Digit. Imaging, 2015
Detection of masses in mammograms with adaption to breast density using genetic algorithm, phylogenetic trees, LBP and SVM.
Expert Syst. Appl., 2015
Classification of breast regions as mass and non-mass based on digital mammograms using taxonomic indexes and SVM.
Comput. Biol. Medicine, 2015
Comput. Biol. Medicine, 2015
Automatic segmentation of masses in digital mammograms using particle swarm optimization and graph clustering.
Proceedings of the International Conference on Systems, Signals and Image Processing, 2015
2014
Automatic detection of small lung nodules in 3D CT data using Gaussian mixture models, Tsallis entropy and SVM.
Eng. Appl. Artif. Intell., 2014
Automatic detection of solitary lung nodules using quality threshold clustering, genetic algorithm and diversity index.
Artif. Intell. Medicine, 2014
Proceedings of the International Conference on Systems, Signals and Image Processing, 2014
Proceedings of the Augmented and Virtual Reality - First International Conference, 2014
Proceedings of the Augmented and Virtual Reality - First International Conference, 2014
2013
A mass classification using spatial diversity approaches in mammography images for false positive reduction.
Expert Syst. Appl., 2013
Detection of masses based on asymmetric regions of digital bilateral mammograms using spatial description with variogram and cross-variogram functions.
Comput. Biol. Medicine, 2013
2012
Analysis of directional patterns of lung nodules in computerized tomography using Getis statistics and their accumulated forms as malignancy and benignity indicators.
Pattern Recognit. Lett., 2012
Automatic segmentation of lung nodules with growing neural gas and support vector machine.
Comput. Biol. Medicine, 2012
Computational methodology for automatic detection of strabismus in digital images through Hirschberg test.
Comput. Biol. Medicine, 2012
Lung Nodules Classification in CT Images Using Shannon and Simpson Diversity Indices and SVM.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2012
Classification of Breast Tissues in Mammographic Images in Mass and Non-mass Using McIntosh's Diversity Index and SVM.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2012
2011
Comput. Biol. Medicine, 2011
Automatic Eye Detection in Human Faces Using Geostatistical Functions and Support Vector Machines.
Proceedings of the Image Analysis and Recognition - 8th International Conference, 2011
2010
Comparison of Support Vector Machines and Bayesian Neural Networks Performance for Breast Tissues Using geostatistical Functions in Mammographic Images.
Int. J. Comput. Intell. Appl., 2010
Methodology for automatic detection of lung nodules in computerized tomography images.
Comput. Methods Programs Biomed., 2010
2009
Detection of Breast Masses in Mammogram Images Using Growing Neural Gas Algorithm and Ripley's <i>K</i> Function.
J. Signal Process. Syst., 2009
Classification of breast tissues using Getis-Ord statistics and support vector machine.
Intell. Decis. Technol., 2009
Classification of breast tissues using Moran's index and Geary's coefficient as texture signatures and SVM.
Comput. Biol. Medicine, 2009
Lung Nodules Classification in CT Images Using Simpson's Index, Geometrical Measures and One-Class SVM.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2009
Detection of Masses in Mammographic Images Using Simpson's Diversity Index in Circular Regions and SVM.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2009
Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, 2009
2008
Diagnosis of lung nodule using Moran's index and Geary's coefficient in computerized tomography images.
Pattern Anal. Appl., 2008
Diagnosis of solitary lung nodules using the local form of Ripley's K function applied to three-dimensional CT data.
Comput. Methods Programs Biomed., 2008
2007
Classification of Breast Masses in Mammogram Images Using Ripley's K Function and Support Vector Machine.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2007
Diagnosis of Lung Nodule Using Independent Component Analysis in Computerized Tomography Images.
Proceedings of the Neural Information Processing, 14th International Conference, 2007
Classification of Breast Tissues in Mammogram Images Using Ripley's <i>K</i> Function and Support Vector Machine.
Proceedings of the Image Analysis and Recognition, 4th International Conference, 2007
Proceedings of the Progress in Pattern Recognition, 2007
2006
Classification of Normal, Benign and Malignant Tissues Using Co-occurrence Matrix and Bayesian Neural Network in Mammographic Images.
Proceedings of the SBRN 2006, 2006
Semivariogram Applied for Classification of Benign and Malignant Tissues in Mammography.
Proceedings of the Image Analysis and Recognition, Third International Conference, 2006
2005
Diagnosis of lung nodule using semivariogram and geometric measures in computerized tomography images.
Comput. Methods Programs Biomed., 2005
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2005
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2005
Semivariogram and SGLDM Methods Comparison for the Diagnosis of Solitary Lung Nodule.
Proceedings of the Pattern Recognition and Image Analysis, Second Iberian Conference, 2005
Diagnosis of Breast Cancer in Digital Mammograms Using Independent Component Analysis and Neural Networks.
Proceedings of the Progress in Pattern Recognition, 2005
2004
Algoritmos para DiagnóStico Assistido de nóDulos Pulmonares SolitáRIOS EM Imagens de Tomografia Computadorizada.
PhD thesis, 2004
Analysis of spatial variability using geostatistical functions for diagnosis of lung nodule in computerized tomography images.
Pattern Anal. Appl., 2004
Proceedings of the Structural, 2004
Diagnosis of lung nodule using Gini coefficient and skeletonization in computerized tomography images.
Proceedings of the 2004 ACM Symposium on Applied Computing (SAC), 2004