João Otávio Bandeira Diniz

Orcid: 0000-0003-3303-3346

According to our database1, João Otávio Bandeira Diniz authored at least 27 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Heart segmentation in planning CT using 2.5D U-Net++ with attention gate.
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

EfficientDeepLab for Automated Trachea Segmentation on Medical Images.
Proceedings of the Intelligent Systems - 12th Brazilian Conference, 2023

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

Liver segmentation from computed tomography images using cascade deep learning.
Comput. Biol. Medicine, 2022

A deep learning method with residual blocks for automatic spinal cord segmentation in planning CT.
Biomed. Signal Process. Control., 2022

Time2Vec transformer: a time series approach for gas detection in seismic data.
Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 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

2021
Segmentation and quantification of COVID-19 infections in CT using pulmonary vessels extraction and deep learning.
Multim. Tools 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

Forecasting of individual electricity consumption using Optimized Gradient Boosting Regression with Modified Particle Swarm Optimization.
Eng. Appl. Artif. Intell., 2021

2020
Esophagus segmentation from planning CT images using an atlas-based deep learning approach.
Comput. Methods Programs Biomed., 2020

Kidney segmentation from computed tomography images using deep neural network.
Comput. Biol. Medicine, 2020

Breast cancer diagnosis from histopathological images using textural features and CBIR.
Artif. Intell. Medicine, 2020

Deployment of a Machine Learning System for Predicting Lawsuits Against Power Companies: Lessons Learned from an Agile Testing Experience for Improving Software Quality.
Proceedings of the 19th Brazilian Symposium on Software Quality, 2020

2019
Modified Quality Threshold Clustering for Temporal Analysis and Classification of Lung Lesions.
IEEE Trans. Image Process., 2019

Diagnosis of breast tissue in mammography images based local feature descriptors.
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

Temporal analysis of lung lesions through dynamic shape features.
Comput. Electr. Eng., 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

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

Image-Based Electric Consumption Recognition via Multi-Task Learning.
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

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

Diagnosis of Non-Small Cell Lung Cancer Using Phylogenetic Diversity in Radiomics Context.
Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018


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