João Otávio Bandeira Diniz
Orcid: 0000-0003-3303-3346
According to our database1,
João Otávio Bandeira Diniz
authored at least 29 papers
between 2018 and 2024.
Collaborative distances:
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Bibliography
2024
Automatic segmentation of deep endometriosis in the rectosigmoid using deep learning.
Image Vis. Comput., 2024
Biomed. Signal Process. Control., 2024
2023
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
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
Comput. Biol. Medicine, 2022
A deep learning method with residual blocks for automatic spinal cord segmentation in planning CT.
Biomed. Signal Process. Control., 2022
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
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
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
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
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