João Otávio Bandeira Diniz

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 28

Top Topics

Computed Tomography Images

Convolutional Neural Networks

Top Venues

Comput. Methods Programs Biomed.

Expert Syst. Appl.

Biomed. Signal Process. Control.

Multim. Tools Appl.

Publications

Patrick Ryan Sales dos Santos, Vitória de Carvalho Brito, Antonio Oseas de Carvalho Filho, João Otávio Bandeira Diniz
KochDet: BiFPN-based deep architecture for tuberculosis diagnosis. Biomed. Signal Process. Control. 91 (2024)
Arthur Guilherme Santos Fernandes, Geraldo Braz Junior, João Otávio Bandeira Diniz, Aristófanes Corrêa Silva, Caio Eduardo Falcõa Matos
EfficientDeepLab for Automated Trachea Segmentation on Medical Images. BRACIS (2) (2023)
João Otávio Bandeira Diniz, Domingos Alves Dias Júnior, Luana Batista da Cruz, Giovanni Lucca França da Silva, Jonnison Lima Ferreira, Darlan Bruno Pontes Quintanilha, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, M. Gattas
Heart segmentation in planning CT using 2.5D U-Net++ with attention gate. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11 (3) (2023)
Domingos Alves Dias Júnior, Luana Batista da Cruz, João Otávio Bandeira Diniz, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Marcelo Gattass, Carlos Rodriguez, Roberto Quispe Quispe, Roberto Ribeiro, Vinicius Riguete
Detection of potential gas accumulations in 2D seismic images using spatio-temporal, PSO, and convolutional LSTM approaches. Expert Syst. Appl. 215 (2023)
Petterson Sousa Diniz, Domingos Alves Dias Júnior, João Otávio Bandeira Diniz, Anselmo Cardoso de Paiva, Aristófanes Corrêa Silva, Marcelo Gattass, Roberto Quevedo, Diogo Michelon, Carlos Siedschlag, Roberto Ribeiro
Time2Vec transformer: a time series approach for gas detection in seismic data. SAC (2022)
José Denes Lima Araújo, Luana Batista da Cruz, João Otávio Bandeira Diniz, Jonnison Lima Ferreira, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Marcelo Gattass
Liver segmentation from computed tomography images using cascade deep learning. Comput. Biol. Medicine 140 (2022)
Carolina L. S. Cipriano, Domingos Alves Dias Júnior, Petterson Sousa Diniz, Luiz F. Marin, Anselmo Cardoso de Paiva, João Otávio Bandeira Diniz, Aristófanes C. Silva
Detection and Delimitation of Natural Gas in Seismic Images using MLP-Mixer and U-Net. ICEIS (1) (2022)
João Otávio Bandeira Diniz, Jonnison Lima Ferreira, Omar Andrés Carmona Cortes, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva
An automatic approach for heart segmentation in CT scans through image processing techniques and Concat-U-Net. Expert Syst. Appl. 196 (2022)
João Otávio Bandeira Diniz, Jonnison Lima Ferreira, Pedro Henrique Bandeira Diniz, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva
A deep learning method with residual blocks for automatic spinal cord segmentation in planning CT. Biomed. Signal Process. Control. 71 (Part) (2022)
Luana Batista da Cruz, Domingos Alves Dias Júnior, João Otávio Bandeira Diniz, Aristófanes Corrêa Silva, João Dallyson Sousa de Almeida, Anselmo Cardoso de Paiva, Marcelo Gattass
Kidney tumor segmentation from computed tomography images using DeepLabv3+ 2.5D model. Expert Syst. Appl. 192 (2022)
Luis Fernando Marin Sepulveda, Petterson Sousa Diniz, João Otávio Bandeira Diniz, Stelmo Magalhães Barros Netto, Carolina L. S. Cipriano, Alexandre Cristian Araújo, Victor H. B. Lemos, Alexandre C. P. Pessoa, Darlan Bruno Pontes Quintanilha, João Dallyson Sousa de Almeida, Aristófanes C. Silva, Anselmo Cardoso de Paiva, Geraldo Braz Jr., Márcia I. A. Silva, Eliana Marcia Garros Monteiro, Italo Francyles Santos da Silva, Eduardo C. Fernandes
Forecasting of individual electricity consumption using Optimized Gradient Boosting Regression with Modified Particle Swarm Optimization. Eng. Appl. Artif. Intell. 105 (2021)
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)
Edson Damasceno Carvalho, Antonio Oseas de Carvalho Filho, Romuere R. V. e Silva, Flávio H. D. Araújo, João Otávio Bandeira Diniz, Aristófanes C. Silva, Anselmo Cardoso de Paiva, Marcelo Gattass
Breast cancer diagnosis from histopathological images using textural features and CBIR. Artif. Intell. Medicine 105 (2020)
João Otávio Bandeira Diniz, Jonnison Lima Ferreira, Pedro Henrique Bandeira Diniz, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva
Esophagus segmentation from planning CT images using an atlas-based deep learning approach. Comput. Methods Programs Biomed. 197 (2020)
Luana Batista da Cruz, José Denes Lima Araújo, Jonnison Lima Ferreira, João Otávio Bandeira Diniz, Aristófanes Corrêa Silva, João Dallyson Sousa de Almeida, Anselmo Cardoso de Paiva, Marcelo Gattass
Kidney segmentation from computed tomography images using deep neural network. Comput. Biol. Medicine 123 (2020)
Luis Rivero, João Otávio Bandeira Diniz, Giovanni Lucca França da Silva, Gabriel Borralho, Geraldo Braz Junior, Anselmo Cardoso de Paiva, Erika W. B. A. L. Alves, Milton S. L. de Oliveira
Deployment of a Machine Learning System for Predicting Lawsuits Against Power Companies: Lessons Learned from an Agile Testing Experience for Improving Software Quality. SBQS (2020)
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)
Darlan Bruno Pontes Quintanilha, João Otávio Bandeira Diniz, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Marcelo Gattass
Temporal analysis of lung lesions through dynamic shape features. Comput. Electr. Eng. 74 (2019)
Caio Eduardo Falcão Matos, Johnatan Carvalho Souza, João Otávio Bandeira Diniz, Geraldo Braz Junior, Anselmo Cardoso de Paiva, João Dallyson Sousa de Almeida, Simara Vieira da Rocha, Aristófanes Corrêa Silva
Diagnosis of breast tissue in mammography images based local feature descriptors. Multim. Tools Appl. 78 (10) (2019)
João Otávio Bandeira Diniz, Pedro Henrique Bandeira Diniz, Thales Levi Azevedo Valente, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva
Spinal cord detection in planning CT for radiotherapy through adaptive template matching, IMSLIC and convolutional neural networks. Comput. Methods Programs Biomed. 170 (2019)
Luis Fernando Marin Sepulveda, Aristófanes Corrêa Silva, João Otávio Bandeira Diniz
Meta-Data Construction for Selection of Breast Tissue Biopsy Slides Image Classifier to Identify Ductal Carcinoma. BRACIS (2019)
Francisco Y. C. de Oliveira, Aristófanes C. Silva, Erika W. B. A. L. Alves, Milton S. L. de Oliveira, Lucas P. A. Pinheiro, Pedro T. Cutrim, João Otávio Bandeira Diniz, Giovanni Lucca França da Silva, Darlan Bruno Pontes Quintanilha, Otilio Paulo da Silva Neto, Vandecia R. M. Fernandes, Geraldo Braz Junior, André B. Cavalcante
Prediction of unregistered power consumption lawsuits and its correlated factors based on customer data using extreme gradient boosting model. SMC (2019)
Johnatan Carvalho Souza, João Otávio Bandeira Diniz, Jonnison Lima Ferreira, Giovanni Lucca França da Silva, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva
An automatic method for lung segmentation and reconstruction in chest X-ray using deep neural networks. Comput. Methods Programs Biomed. 177 (2019)
Ricardo Costa da Silva Marques, Arthur Costa Serra, João Vitor Ferreira França, João Otávio Bandeira Diniz, Geraldo Braz Junior, João Dallyson Sousa de Almeida, Marcia Izabel Alves da Silva, Eliana Marcia Garros Monteiro
Image-Based Electric Consumption Recognition via Multi-Task Learning. BRACIS (2019)
João Otávio Bandeira Diniz, Pedro Henrique Bandeira Diniz, Thales Levi Azevedo Valente, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Marcelo Gattass
Detection of mass regions in mammograms by bilateral analysis adapted to breast density using similarity indexes and convolutional neural networks. Comput. Methods Programs Biomed. 156 (2018)
Antonino C. dos Santos Neto, Pedro Henrique Bandeira Diniz, João Otávio Bandeira Diniz, André B. Cavalcante, Aristófanes C. Silva, Anselmo Cardoso de Paiva, João Dallyson Sousa de Almeida
Diagnosis of Non-Small Cell Lung Cancer Using Phylogenetic Diversity in Radiomics Context. ICIAR (2018)
Pedro Henrique Bandeira Diniz, Thales Levi Azevedo Valente, João Otávio Bandeira Diniz, Aristófanes Corrêa Silva, Marcelo Gattass, Nina Ventura, Bernardo Carvalho Muniz, Emerson Leandro Gasparetto
Detection of white matter lesion regions in MRI using SLIC0 and convolutional neural network. Comput. Methods Programs Biomed. 167 (2018)