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Giovanni L. F. da Silva
Person information
- affiliation: Federal University of Maranhão (UFMA), São Luís, MA, Brazil
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2020 – today
- 2024
- [c6]João Otávio Bandeira Diniz
, Neilson P. Ribeiro
AnisotropicBreast-ViT: Breast Cancer Classification in Ultrasound Images Using Anisotropic Filtering and Vision Transformer. BRACIS (3) 2024: 95-109 - 2023
- [j8]João Otávio Bandeira Diniz
Heart segmentation in planning CT using 2.5D U-Net++ with attention gate. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11(3): 317-325 (2023) - 2021
- [j7]Domingos Alves Dias Júnior
Automatic method for classifying COVID-19 patients based on chest X-ray images, using deep features and PSO-optimized XGBoost. Expert Syst. Appl. 183: 115452 (2021) - [j6]João Otávio Bandeira Diniz
Segmentation and quantification of COVID-19 infections in CT using pulmonary vessels extraction and deep learning. Multim. Tools Appl. 80(19): 29367-29399 (2021) - 2020
- [j5]Giovanni L. F. da Silva
Superpixel-based deep convolutional neural networks and active contour model for automatic prostate segmentation on 3D MRI scans. Medical Biol. Eng. Comput. 58(9): 1947-1964 (2020) - [c5]Giovanni Lucca França da Silva, João Vitor Ferreira França, Petterson Sousa Diniz, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva
Automatic Prostate Segmentation on 3D MRI Scans Using Convolutional Neural Networks with Residual Connections and Superpixels. IWSSIP 2020: 51-56 - [c4]João Vitor Ferreira França, Giovanni Lucca França da Silva, Pedro Thiago Cutrim dos Santos, Geraldo Braz Júnior
Taxonomic Indexes for Automatic Prostate Segmentation on 3D MRI Scans Using Superpixels and Probabilistic Atlas. IWSSIP 2020: 122-127 - [c3]Luis Rivero
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: 30
2010 – 2019
- 2019
- [j4]Johnatan Carvalho Souza, João Otávio Bandeira Diniz
An automatic method for lung segmentation and reconstruction in chest X-ray using deep neural networks. Comput. Methods Programs Biomed. 177: 285-296 (2019) - [c2]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
Prediction of unregistered power consumption lawsuits and its correlated factors based on customer data using extreme gradient boosting model. SMC 2019: 2059-2064 - [c1]Pedro Vinicius A. de Freitas, Paulo Renato C. Mendes, Antonio José G. Busson, Álan Lívio Vasconcelos Guedes
An ergonomic evaluation method using a mobile depth sensor and pose estimation. WebMedia 2019: 445-452 - 2018
- [j3]Giovanni Lucca França da Silva
Convolutional neural network-based PSO for lung nodule false positive reduction on CT images. Comput. Methods Programs Biomed. 162: 109-118 (2018) - [j2]Robherson Wector de Sousa Costa
Classification of malignant and benign lung nodules using taxonomic diversity index and phylogenetic distance. Medical Biol. Eng. Comput. 56(11): 2125-2136 (2018) - 2017
- [j1]Giovanni L. F. da Silva
Lung nodules diagnosis based on evolutionary convolutional neural network. Multim. Tools Appl. 76(18): 19039-19055 (2017)
Coauthor Index
aka: Aristófanes C. Silva
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