Rodolfo Acatauassu Nunes

Publication Activity (10 Years)

Years Active: 2008-2021
Publications (10 Years): 12

Top Topics

Computed Tomography

Top Venues

Medical Biol. Eng. Comput.

Multim. Tools Appl.

Expert Syst. Appl.

Artif. Intell. Medicine

Publications

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
Automatic method for classifying COVID-19 patients based on chest X-ray images, using deep features and PSO-optimized XGBoost. Expert Syst. Appl. 183 (2021)
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
Segmentation and quantification of COVID-19 infections in CT using pulmonary vessels extraction and deep learning. Multim. Tools Appl. 80 (19) (2021)
Stelmo Magalhães Barros Netto, João Otávio Bandeira Diniz, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Rodolfo Acatauassu Nunes, Marcelo Gattass
Modified Quality Threshold Clustering for Temporal Analysis and Classification of Lung Lesions. IEEE Trans. Image Process. 28 (4) (2019)
Antonio Oseas de Carvalho Filho, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Rodolfo Acatauassu Nunes, Marcelo Gattass
Classification of patterns of benignity and malignancy based on CT using topology-based phylogenetic diversity index and convolutional neural network. Pattern Recognit. 81 (2018)
Bruno Rodrigues Froz, Antonio Oseas de Carvalho Filho, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Rodolfo Acatauassu Nunes, Marcelo Gattass
Lung nodule classification using artificial crawlers, directional texture and support vector machine. Expert Syst. Appl. 69 (2017)
Antonio Oseas de Carvalho Filho, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Rodolfo Acatauassu Nunes, Marcelo Gattass
Computer-aided diagnosis system for lung nodules based on computed tomography using shape analysis, a genetic algorithm, and SVM. Medical Biol. Eng. Comput. 55 (8) (2017)
Antonio Oseas de Carvalho Filho, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Rodolfo Acatauassu Nunes, Marcelo Gattass
3D shape analysis to reduce false positives for lung nodule detection systems. Medical Biol. Eng. Comput. 55 (8) (2017)
Antonio Oseas de Carvalho Filho, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Rodolfo Acatauassu Nunes, Marcelo Gattass
Computer-Aided Diagnosis of Lung Nodules in Computed Tomography by Using Phylogenetic Diversity, Genetic Algorithm, and SVM. J. Digit. Imaging 30 (6) (2017)
Stelmo Magalhães Barros Netto, Aristófanes Corrêa Silva, Hélio Lopes, Anselmo Cardoso de Paiva, Rodolfo Acatauassu Nunes, Marcelo Gattass
Statistical tools for the temporal analysis and classification of lung lesions. Comput. Methods Programs Biomed. 142 (2017)
Stelmo Magalhães Barros Netto, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Rodolfo Acatauassu Nunes, Marcelo Gattass
Unsupervised detection of density changes through principal component analysis for lung lesion classification. Multim. Tools Appl. 76 (18) (2017)
Antonio Oseas de Carvalho Filho, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Rodolfo Acatauassu Nunes, Marcelo Gattass
Lung-Nodule Classification Based on Computed Tomography Using Taxonomic Diversity Indexes and an SVM. J. Signal Process. Syst. 87 (2) (2017)
Stelmo Magalhães Barros Netto, Aristófanes Corrêa Silva, Rodolfo Acatauassu Nunes, Marcelo Gattass
Voxel-based comparative analysis of lung lesions in CT for therapeutic purposes. Medical Biol. Eng. Comput. 55 (2) (2017)
Antonio Oseas de Carvalho Filho, Wener Borges de Sampaio, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Rodolfo Acatauassu Nunes, Marcelo Gattass
Automatic detection of solitary lung nodules using quality threshold clustering, genetic algorithm and diversity index. Artif. Intell. Medicine 60 (3) (2014)
Alex Martins Santos, Antonio Oseas de Carvalho Filho, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Rodolfo Acatauassu Nunes, Marcelo Gattass
Automatic detection of small lung nodules in 3D CT data using Gaussian mixture models, Tsallis entropy and SVM. Eng. Appl. Artif. Intell. 36 (2014)
Stelmo Magalhães Barros Netto, Aristófanes Corrêa Silva, Rodolfo Acatauassu Nunes, Marcelo Gattass
Automatic segmentation of lung nodules with growing neural gas and support vector machine. Comput. Biol. Medicine 42 (11) (2012)
Stelmo Magalhães Barros Netto, Aristófanes Corrêa Silva, Rodolfo Acatauassu Nunes, Marcelo Gattass
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. 33 (13) (2012)
João Rodrigo Ferreira da Silva Sousa, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Rodolfo Acatauassu Nunes
Methodology for automatic detection of lung nodules in computerized tomography images. Comput. Methods Programs Biomed. 98 (1) (2010)
Cleriston Araujo da Silva, Aristófanes Corrêa Silva, Stelmo Magalhães Barros Netto, Anselmo Cardoso de Paiva, Geraldo Braz Junior, Rodolfo Acatauassu Nunes
Lung Nodules Classification in CT Images Using Simpson's Index, Geometrical Measures and One-Class SVM. MLDM (2009)
Erick Corrêa da Silva, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Rodolfo Acatauassu Nunes
Diagnosis of lung nodule using Moran's index and Geary's coefficient in computerized tomography images. Pattern Anal. Appl. 11 (1) (2008)
Erick Corrêa da Silva, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Rodolfo Acatauassu Nunes, Marcelo Gattass
Diagnosis of solitary lung nodules using the local form of Ripley's K function applied to three-dimensional CT data. Comput. Methods Programs Biomed. 90 (3) (2008)