Analysis of vertebrae without fracture on spine MRI to assess bone fragility: A Comparison of Traditional Machine Learning and Deep Learning. - Jonathan S. Ramos; Erikson Júlio De Aguiar; Ivar Vargas Belizario; Márcus V. L. Costa; Jamilly G. Maciel; Mirela T. Cazzolato; Caetano Traina; Marcello H. Nogueira-Barbosa; Agma J. M. Traina (CBMS, 2022)

Assessing Vulnerabilities of Deep Learning Explainability in Medical Image Analysis Under Adversarial Settings. - Erikson Júlio De Aguiar; Márcus V. L. Costa; Caetano Traina; Agma J. M. Traina (CBMS, 2023)

A Deep Learning-based Radiomics Approach for COVID-19 Detection from CXR Images using Ensemble Learning Model. - Márcus V. L. Costa; Erikson Júlio De Aguiar; Lucas Santiago Rodrigues; Jonathan S. Ramos; Caetano Traina; Agma J. M. Traina (CBMS, 2023)

DEELE-Rad: exploiting deep radiomics features in deep learning models using COVID-19 chest X-ray images. - Márcus V. L. Costa; Erikson Júlio De Aguiar; Lucas Santiago Rodrigues; Caetano Traina; Agma J. M. Traina (Health Inf. Sci. Syst., 2025)