José Raniery Ferreira

According to our database, José Raniery Ferreira authored at least 20 papers between 2013 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2022

Radiomic Quantification for MRI Assessment of Sacroiliac Joints of Patients with Spondyloarthritis.

Ariane Priscilla Magalhães Tenório, José Raniery Ferreira Jr., Vitor Faeda Dalto, Matheus Calil Faleiros, Rodrigo Luppino Assad, Paulo Louzada-Junior, Marcello Henrique Nogueira-Barbosa, Rangaraj Mandayam Rangayyan, Paulo Mazzoncini de Azevedo Marques

J. Digit. Imaging, 2022

2021

Novel Chest Radiographic Biomarkers for COVID-19 Using Radiomic Features Associated with Diagnostics and Outcomes.

José Raniery Ferreira Jr., Diego Armando Cardona Cárdenas, Ramon Alfredo Moreno, Marina de Sá Rebelo, José Eduardo Krieger, Marco Antonio Gutierrez

J. Digit. Imaging, 2021

The Effects of Perinodular Features on Solid Lung Nodule Classification.

José Lucas Leite Calheiros, Lucas Benevides Viana de Amorim, Lucas Lins de Lima, Ailton Felix de Lima Filho, José Raniery Ferreira Jr., Marcelo Costa de Oliveira

J. Digit. Imaging, 2021

Toward classifying small lung nodules with hyperparameter optimization of convolutional neural networks.

Lucas Lins de Lima, José Raniery Ferreira Jr., Marcelo Costa Oliveira

Comput. Intell., 2021

A general fully automated deep-learning method to detect cardiomegaly in chest x-rays.

José Raniery Ferreira Jr., Diego Armando Cardona Cárdenas, Ramon Alfredo Moreno, Marina de Fátima de Sá Rebelo, José Eduardo Krieger, Marco Antonio Gutierrez

Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

Automated radiographic bone suppression with deep convolutional neural networks.

Diego Armando Cardona Cárdenas, José Raniery Ferreira Jr., Ramon Alfredo Moreno, Marina de Fátima de Sá Rebelo, José Eduardo Krieger, Marco A. Gutierrez

Proceedings of the Medical Imaging 2021: Biomedical Applications in Molecular, 2021

2020

A study of MRI-based radiomics biomarkers for sacroiliitis and spondyloarthritis.

Ariane Priscilla Magalhães Tenório, Matheus Calil Faleiros, José Raniery Ferreira Jr., Vitor Faeda Dalto, Rodrigo Luppino Assad, Paulo Louzada-Junior, Hiroyuki Yoshida, Marcello Henrique Nogueira-Barbosa, Paulo Mazzoncini de Azevedo Marques

Int. J. Comput. Assist. Radiol. Surg., 2020

CT-based radiomics for prediction of histologic subtype and metastatic disease in primary malignant lung neoplasms.

José Raniery Ferreira Jr., Marcel Koenigkam-Santos, Ariane Priscilla Magalhães Tenório, Matheus Calil Faleiros, Federico Enrique Garcia Cipriano, Alexandre Todorovic Fabro, Janne Näppi, Hiroyuki Yoshida, Paulo Mazzoncini de Azevedo Marques

Int. J. Comput. Assist. Radiol. Surg., 2020

Multi-View Ensemble Convolutional Neural Network to Improve Classification of Pneumonia in Low Contrast Chest X-Ray Images.

José Raniery Ferreira, Diego Armando Cardona Cárdenas, Ramon Alfredo Moreno, Marina de Sá Rebelo, José Eduardo Krieger, Marco Antonio Gutierrez

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2018

Characterization of Pulmonary Nodules Based on Features of Margin Sharpness and Texture.

José Raniery Ferreira Jr., Marcelo Costa Oliveira, Paulo Mazzoncini de Azevedo Marques

J. Digit. Imaging, 2018

Radiomics-based features for pattern recognition of lung cancer histopathology and metastases.

José Raniery Ferreira, Marcel Koenigkam-Santos, Federico Enrique Garcia Cipriano, Alexandre Todorovic Fabro, Paulo Mazzoncini de Azevedo Marques

Comput. Methods Programs Biomed., 2018

2017

Integrating 3D image descriptors of margin sharpness and texture on a GPU-optimized similar pulmonary nodule retrieval engine.

José Raniery Ferreira Jr., Marcelo Costa Oliveira, Paulo Mazzoncini de Azevedo Marques

J. Supercomput., 2017

Selecting relevant 3D image features of margin sharpness and texture for lung nodule retrieval.

José Raniery Ferreira, Paulo Mazzoncini de Azevedo Marques, Marcelo Costa Oliveira

Int. J. Comput. Assist. Radiol. Surg., 2017

2016

Automatic weighing attribute to retrieve similar lung cancer nodules.

David Jones Ferreira de Lucena, José Raniery Ferreira Jr., Aydano Pamponet Machado, Marcelo Costa Oliveira

BMC Medical Informatics Decis. Mak., 2016

Cloud-Based NoSQL Open Database of Pulmonary Nodules for Computer-Aided Lung Cancer Diagnosis and Reproducible Research.

José Raniery Ferreira, Marcelo Costa Oliveira, Paulo Mazzoncini de Azevedo Marques

J. Digit. Imaging, 2016

Using 3D Texture and Margin Sharpness Features on Classification of Small Pulmonary Nodules.

Ailton Felix, Marcelo Costa Oliveira, Aydano Machado, José Raniery Ferreira

Proceedings of the 29th SIBGRAPI Conference on Graphics, Patterns and Images, 2016

2015

Design of a Graph-Based System for Similar Case Retrieval of Pulmonary Nodules.

José Raniery Ferreira Jr., Marcelo Costa Oliveira, Paulo Mazzoncini de Azevedo Marques

Proceedings of the MEDINFO 2015: eHealth-enabled Health, 2015

Evaluating Margin Sharpness Analysis on Similar Pulmonary Nodule Retrieval.

José Raniery Ferreira Jr., Marcelo Costa Oliveira

Proceedings of the 28th IEEE International Symposium on Computer-Based Medical Systems, 2015

2014

Performance Evaluation of Medical Image Similarity Analysis in a Heterogeneous Architecture.

José Raniery Ferreira, Marcelo Costa Oliveira, Andre Lage Freitas

Proceedings of the 2014 IEEE 27th International Symposium on Computer-Based Medical Systems, 2014

2013

A Bag-of-Tasks approach to speed up the lung nodules retrieval in the BigData age.

Marcelo Costa Oliveira, José Raniery Ferreira

Proceedings of the IEEE 15th International Conference on e-Health Networking, 2013