Grid computing to make viable the content based medical image retrieval through the image registration techniques. - Marcelo Costa Oliveira; Walfredo Cirne; José Flávio Mendes Junior; Paulo Mazzoncini de Azevedo Marques (EATIS, 2007)

Towards applying content-based image retrieval in the clinical routine. - Marcelo Costa Oliveira; Walfredo Cirne; Paulo Mazzoncini de Azevedo Marques (Future Gener. Comput. Syst., 2007)

A Bag-of-Tasks approach to speed up the lung nodules retrieval in the BigData age. - Marcelo Costa Oliveira; José Raniery Ferreira (Healthcom, 2013)

Performance Evaluation of Medical Image Similarity Analysis in a Heterogeneous Architecture. - José Raniery Ferreira; Marcelo Costa Oliveira; Andre Lage Freitas (CBMS, 2014)

Evaluating Margin Sharpness Analysis on Similar Pulmonary Nodule Retrieval. - José Raniery Ferreira Jr.; Marcelo Costa Oliveira (CBMS, 2015)

A Medical Image Backup Architecture Based on a NoSQL Database and Cloud Computing Services. - Luan Henrique Santos Simões de Almeida; Marcelo Costa Oliveira (MedInfo, 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 (MedInfo, 2015)

Proposal of Local Automatic Weighing Attribute in CBIR. - David Jones Ferreira de Lucena; Marcelo Costa Oliveira; Aydano Pamponet Machado (MedInfo, 2015)

Using 3D Texture and Margin Sharpness Features on Classification of Small Pulmonary Nodules. - Ailton Felix; Marcelo Costa Oliveira; Aydano Machado; José Raniery Ferreira (SIBGRAPI, 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)

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)

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)

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)

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)

Efficient Hyperparameter Optimization of Convolutional Neural Networks on Classification of Early Pulmonary Nodules. - Lucas Lima 003; José Ferreira; Marcelo Costa Oliveira (CBMS, 2019)

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)

Lung-RADS + AI: A Tool for Quantifying the Risk of Lung Cancer in Computed Tomography Reports. - Tarcísio Lima Ferreira; Marcelo Costa Oliveira; Thales Miranda De Almeida Vieira (BIBE, 2023)

Comparative Study of Large Language Models for Lung-RADS Classification in Portuguese CT Reports. - Tarcísio Lima Ferreira; Marcelo Costa Oliveira; Thales Miranda De Almeida Vieira (BIBE, 2024)

AI-Driven Lung-RADS Classification on CT Reports. - Tarcísio Lima Ferreira; Marcelo Costa Oliveira; Thales Vieira (CBMS, 2025)

End-to-end automated student attendance recording system using surveillance camera. - John Davi Dutra Canuto Pires; Marcelo Costa Oliveira; Baldoino Fonseca dos Santos Neto; Márcio de Medeiros Ribeiro; Rafael Sampaio de Melo Fragoso (Revista Brasileira de Informática na Educ., 2025)

Predictive system for failure of basic education student. - Bruna Damaris Ramos dos Santos; Marcelo Costa Oliveira; Daniel Alisson Feitosa Lopes; Rafael Sampaio de Melo Fragoso; Baldoino Fonseca dos Santos Neto (Revista Brasileira de Informática na Educ., 2025)