João Otávio Bandeira Diniz

39 papers B 1Misc 1Journal 22Unranked 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
Multi-task deep learning for bacilli detection and counting in sputum smear microscopy.
Biomed. Signal Process. Control.
Vitória de Carvalho Brito, Patrick Ryan Sales dos Santos, Antonio Oseas de Carvalho Filho, João Otávio Bandeira Diniz
2025 — conf
A Double Transfer Learning Approach for Improving Canine Breast Cancer Detection Using VGG-16 on Histopathological Images.
BRACIS (4)
Vinicius Barbosa da Silva, Omar Andrés Carmona Cortes, João Otávio Bandeira Diniz
2025 — conf
U-Net-EL: A U-Net and Early Learning-Based Method for Histopathological Breast Image Segmentation.
BRACIS (2)
Paulo V. S. dos Santos, Patrick Ryan Sales dos Santos, João Otávio Bandeira Diniz, Antonio Oseas de Carvalho Filho
2024 — conf
AnisotropicBreast-ViT: Breast Cancer Classification in Ultrasound Images Using Anisotropic Filtering and Vision Transformer.
BRACIS (3)
João Otávio Bandeira Diniz, Neilson P. Ribeiro, Domingos Alves Dias Júnior, Luana Batista da Cruz, Giovanni L. F. da Silva, Daniel L. Gomes Jr., Anselmo Cardoso de Paiva, Aristófanes C. Silva
2024 — conf
Anomalies Diagnostic in Endoscopic Images Using Deep Learning Ensemble Models.
BRACIS (3)
Pedro da S. Viana, Luana Batista da Cruz, Domingos Alves Dias Júnior, João Otávio Bandeira Diniz
2024 J jnl
Automatic segmentation of deep endometriosis in the rectosigmoid using deep learning.
Image Vis. Comput.
Weslley K. R. Figueredo, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, João Otávio Bandeira Diniz, Alice Brandão, Marco Aurelio Pinho Oliveira
2024 — conf
Improving Colorectal Cancer Diagnosis Using MIRNet and InceptionV3 on Histopathological Images.
BRACIS (3)
Neilson P. Ribeiro, Felipe R. S. Teles, João Otávio Bandeira Diniz, Luana Batista da Cruz, Domingos Alves Dias Júnior, Geraldo Braz Júnior, João Dallyson Sousa de Almeida, Anselmo Cardoso de Paiva
2024 J jnl
KochDet: BiFPN-based deep architecture for tuberculosis diagnosis.
Biomed. Signal Process. Control.
Patrick Ryan Sales dos Santos, Vitória de Carvalho Brito, Antonio Oseas de Carvalho Filho, João Otávio Bandeira Diniz
2024 — conf
The Impact of Double Transfer Learning in VGG Architectures for Metastasis Breast Cancer Detection.
BRACIS (3)
Danyllo Carlos Silva e Silva, Omar Andrés Carmona Cortes, João Otávio Bandeira Diniz
2023 — conf
A Cascade Approach for Automatic Segmentation of Coronary Arteries Calcification in Computed Tomography Images Using Deep Learning.
MobiHealth
Alan de Carvalho Araújo, Aristófanes C. Silva, João Pedrosa, Italo F. S. Silva, João Otávio Bandeira Diniz
2023 J jnl
Detection of potential gas accumulations in 2D seismic images using spatio-temporal, PSO, and convolutional LSTM approaches.
Expert Syst. Appl.
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
2023 — conf
Eff-Unet for Trachea Segmentation on CT Scans.
MobiHealth
Arthur Guilherme Santos Fernandes, Geraldo Braz Júnior, João Otávio Bandeira Diniz, Marcos Melo Ferreira, José Ribamar Durand Rodrigues Júnior, Mackele Lourrane Jurema Da Silva, Lucas Araújo Gonçalves
2023 — conf
EfficientDeepLab for Automated Trachea Segmentation on Medical Images.
BRACIS (2)
Arthur Guilherme Santos Fernandes, Geraldo Braz Júnior, João Otávio Bandeira Diniz, Aristófanes Corrêa Silva, Caio Eduardo Falcão Matos
2023 J jnl
Heart segmentation in planning CT using 2.5D U-Net++ with attention gate.
Comput. methods Biomech. Biomed. Eng. Imaging Vis.
João Otávio Bandeira Diniz, Domingos Alves Dias Júnior, Luana Batista da Cruz, Giovanni L. F. da Silva, Jonnison Lima Ferreira, Darlan Bruno Pontes Quintanilha, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Marcelo Gattass
2022 J jnl
A deep learning method with residual blocks for automatic spinal cord segmentation in planning CT.
Biomed. Signal Process. Control.
João Otávio Bandeira Diniz, Jonnison Lima Ferreira, Pedro Henrique Bandeira Diniz, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva
2022 J jnl
An automatic approach for heart segmentation in CT scans through image processing techniques and Concat-U-Net.
Expert Syst. Appl.
João Otávio Bandeira Diniz, Jonnison Lima Ferreira, Omar Andrés Carmona Cortes, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva
2022 — conf
Detection and Delimitation of Natural Gas in Seismic Images using MLP-Mixer and U-Net.
ICEIS (1)
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
2022 J jnl
Kidney tumor segmentation from computed tomography images using DeepLabv3+ 2.5D model.
Expert Syst. Appl.
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
2022 J jnl
Liver segmentation from computed tomography images using cascade deep learning.
Comput. Biol. Medicine
José Denes Lima Araújo, Luana Batista da Cruz, João Otávio Bandeira Diniz, Jonnison Lima Ferreira, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Marcelo Gattass
2022 Misc conf
Time2Vec transformer: a time series approach for gas detection in seismic data.
SAC
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
2021 J jnl
Automatic method for classifying COVID-19 patients based on chest X-ray images, using deep features and PSO-optimized XGBoost.
Expert Syst. Appl.
Domingos Alves Dias Júnior, Luana Batista da Cruz, João Otávio Bandeira Diniz, Giovanni Lucca França da Silva, Geraldo Braz Júnior, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Rodolfo Acatauassu Nunes, Marcelo Gattass
2021 J jnl
Forecasting of individual electricity consumption using Optimized Gradient Boosting Regression with Modified Particle Swarm Optimization.
Eng. Appl. Artif. Intell.
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 Júnior, Márcia I. A. Silva, Eliana Marcia Garros Monteiro, Italo Francyles Santos da Silva, Eduardo C. Fernandes
2021 — —
Métodos para segmentação de medula espinhal e esôfago em tomografia computadorizada de planejamento à radioterapia
João Otávio Bandeira Diniz
2021 J jnl
Segmentation and quantification of COVID-19 infections in CT using pulmonary vessels extraction and deep learning.
Multim. Tools Appl.
João Otávio Bandeira Diniz, Darlan Bruno Pontes Quintanilha, Antonino C. dos Santos Neto, Giovanni L. F. 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 Júnior, João Dallyson Sousa de Almeida, Rodolfo Acatauassu Nunes, Roberto Mogami, Marcelo Gattass
2020 J jnl
Breast cancer diagnosis from histopathological images using textural features and CBIR.
Artif. Intell. Medicine
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
2020 — conf
Deployment of a Machine Learning System for Predicting Lawsuits Against Power Companies: Lessons Learned from an Agile Testing Experience for Improving Software Quality.
SBQS
Luis Rivero, João Otávio Bandeira Diniz, Giovanni L. F. da Silva, Gabriel Borralho, Geraldo Braz Júnior, Anselmo Cardoso de Paiva, Erika W. B. A. L. Alves, Milton S. L. de Oliveira
2020 J jnl
Esophagus segmentation from planning CT images using an atlas-based deep learning approach.
Comput. Methods Programs Biomed.
João Otávio Bandeira Diniz, Jonnison Lima Ferreira, Pedro Henrique Bandeira Diniz, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva
2020 J jnl
Kidney segmentation from computed tomography images using deep neural network.
Comput. Biol. Medicine
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
2019 J jnl
An automatic method for lung segmentation and reconstruction in chest X-ray using deep neural networks.
Comput. Methods Programs Biomed.
Johnatan Carvalho Souza, João Otávio Bandeira Diniz, Jonnison Lima Ferreira, Giovanni Lucca França da Silva, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva
2019 J jnl
Diagnosis of breast tissue in mammography images based local feature descriptors.
Multim. Tools Appl.
Caio Eduardo Falcão Matos, Johnatan Carvalho Souza, João Otávio Bandeira Diniz, Geraldo Braz Júnior, Anselmo Cardoso de Paiva, João Dallyson Sousa de Almeida, Simara Vieira da Rocha, Aristófanes Corrêa Silva
2019 — conf
Image-Based Electric Consumption Recognition via Multi-Task Learning.
BRACIS
Ricardo Costa da Silva Marques, Arthur Costa Serra, João Vitor Ferreira França, João Otávio Bandeira Diniz, Geraldo Braz Júnior, João Dallyson Sousa de Almeida, Marcia Izabel Alves da Silva, Eliana Marcia Garros Monteiro
2019 — conf
Meta-Data Construction for Selection of Breast Tissue Biopsy Slides Image Classifier to Identify Ductal Carcinoma.
BRACIS
Luis Fernando Marin Sepulveda, Aristófanes Corrêa Silva, João Otávio Bandeira Diniz
2019 J jnl
Modified Quality Threshold Clustering for Temporal Analysis and Classification of Lung Lesions.
IEEE Trans. Image Process.
Stelmo Magalhães Barros Netto, João Otávio Bandeira Diniz, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Rodolfo Acatauassu Nunes, Marcelo Gattass
2019 B conf
Prediction of unregistered power consumption lawsuits and its correlated factors based on customer data using extreme gradient boosting model.
SMC
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 L. F. da Silva, Darlan Bruno Pontes Quintanilha, Otilio Paulo da Silva Neto, Vandecia R. M. Fernandes, Geraldo Braz Júnior, André B. Cavalcante
2019 J jnl
Spinal cord detection in planning CT for radiotherapy through adaptive template matching, IMSLIC and convolutional neural networks.
Comput. Methods Programs Biomed.
João Otávio Bandeira Diniz, Pedro Henrique Bandeira Diniz, Thales Levi Azevedo Valente, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva
2019 J jnl
Temporal analysis of lung lesions through dynamic shape features.
Comput. Electr. Eng.
Darlan Bruno Pontes Quintanilha, João Otávio Bandeira Diniz, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Marcelo Gattass
2018 J jnl
Detection of mass regions in mammograms by bilateral analysis adapted to breast density using similarity indexes and convolutional neural networks.
Comput. Methods Programs Biomed.
João Otávio Bandeira Diniz, Pedro Henrique Bandeira Diniz, Thales Levi Azevedo Valente, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Marcelo Gattass
2018 J jnl
Detection of white matter lesion regions in MRI using SLIC0 and convolutional neural network.
Comput. Methods Programs Biomed.
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
2018 — conf
Diagnosis of Non-Small Cell Lung Cancer Using Phylogenetic Diversity in Radiomics Context.
ICIAR
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