Rodolfo Acatauassu Nunes

According to our database, Rodolfo Acatauassu Nunes authored at least 20 papers between 2008 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

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

João Otávio Bandeira Diniz, Darlan Bruno Pontes Quintanilha, Antonino C. dos Santos Neto, Giovanni Lucca França da Silva, Jonnison Lima Ferreira, Stelmo Magalhães Barros Netto, José Denes Lima Araújo, Luana Batista da Cruz, Thamila Fontenele, Caio M. da S. Martins, Marcos Melo Ferreira, Venicius Garcia, José M. C. Boaro, Carolina L. S. Cipriano, Aristófanes C. Silva, Anselmo Cardoso de Paiva, Geraldo Braz Junior, João Dallyson Sousa de Almeida, Rodolfo Acatauassu Nunes, Roberto Mogami, Marcelo Gattass

Multim. Tools Appl., 2021

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

Domingos Alves Dias Júnior, Luana Batista da Cruz, João Otávio Bandeira Diniz, Giovanni Lucca França da Silva, Geraldo Braz Junior, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Rodolfo Acatauassu Nunes, Marcelo Gattass

Expert Syst. Appl., 2021

2019

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

Stelmo Magalhães Barros Netto, João Otávio Bandeira Diniz, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Rodolfo Acatauassu Nunes, Marcelo Gattass

IEEE Trans. Image Process., 2019

2018

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

Antonio Oseas de Carvalho Filho, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Rodolfo Acatauassu Nunes, Marcelo Gattass

Pattern Recognit., 2018

2017

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

Antonio Oseas de Carvalho Filho, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Rodolfo Acatauassu Nunes, Marcelo Gattass

J. Signal Process. Syst., 2017

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

Stelmo Magalhães Barros Netto, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Rodolfo Acatauassu Nunes, Marcelo Gattass

Multim. Tools Appl., 2017

Voxel-based comparative analysis of lung lesions in CT for therapeutic purposes.

Stelmo Magalhães Barros Netto, Aristófanes Corrêa Silva, Rodolfo Acatauassu Nunes, Marcelo Gattass

Medical Biol. Eng. Comput., 2017

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

Antonio Oseas de Carvalho Filho, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Rodolfo Acatauassu Nunes, Marcelo Gattass

Medical Biol. Eng. Comput., 2017

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

Antonio Oseas de Carvalho Filho, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Rodolfo Acatauassu Nunes, Marcelo Gattass

Medical Biol. Eng. Comput., 2017

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

Antonio Oseas de Carvalho Filho, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Rodolfo Acatauassu Nunes, Marcelo Gattass

J. Digit. Imaging, 2017

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

Bruno Rodrigues Froz, Antonio Oseas de Carvalho Filho, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Rodolfo Acatauassu Nunes, Marcelo Gattass

Expert Syst. Appl., 2017

Statistical tools for the temporal analysis and classification of lung lesions.

Stelmo Magalhães Barros Netto, Aristófanes Corrêa Silva, Hélio Lopes, Anselmo Cardoso de Paiva, Rodolfo Acatauassu Nunes, Marcelo Gattass

Comput. Methods Programs Biomed., 2017

2014

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

Alex Martins Santos, Antonio Oseas de Carvalho Filho, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Rodolfo Acatauassu Nunes, Marcelo Gattass

Eng. Appl. Artif. Intell., 2014

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

Antonio Oseas de Carvalho Filho, Wener Borges de Sampaio, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Rodolfo Acatauassu Nunes, Marcelo Gattass

Artif. Intell. Medicine, 2014

2012

Analysis of directional patterns of lung nodules in computerized tomography using Getis statistics and their accumulated forms as malignancy and benignity indicators.

Stelmo Magalhães Barros Netto, Aristófanes Corrêa Silva, Rodolfo Acatauassu Nunes, Marcelo Gattass

Pattern Recognit. Lett., 2012

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

Stelmo Magalhães Barros Netto, Aristófanes Corrêa Silva, Rodolfo Acatauassu Nunes, Marcelo Gattass

Comput. Biol. Medicine, 2012

2010

Methodology for automatic detection of lung nodules in computerized tomography images.

João Rodrigo Ferreira da Silva Sousa, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Rodolfo Acatauassu Nunes

Comput. Methods Programs Biomed., 2010

2009

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

Cleriston Araujo da Silva, Aristófanes Corrêa Silva, Stelmo Magalhães Barros Netto, Anselmo Cardoso de Paiva, Geraldo Braz Junior, Rodolfo Acatauassu Nunes

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2009

2008

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

Erick Corrêa da Silva, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Rodolfo Acatauassu Nunes

Pattern Anal. Appl., 2008

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

Erick Corrêa da Silva, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Rodolfo Acatauassu Nunes, Marcelo Gattass

Comput. Methods Programs Biomed., 2008