Classification of glomerular hypercellularity using convolutional features and support vector machine. - Paulo Chagas; Luiz Souza; Ikaro Araújo; Nayze Aldeman; Angelo Amâncio Duarte; Michele F. Angelo; Washington L. C. dos-Santos; Luciano Oliveira (Artif. Intell. Medicine, 2020)

A hybrid of deep and textural features to differentiate glomerulosclerosis and minimal change disease from glomerulus biopsy images. - Justino Santos; Rodrigo de Melo Souza Veras; Romuere R. V. Silva; Nayze Aldeman; Flávio H. D. Araújo; Angelo Amâncio Duarte; João Manuel R. S. Tavares (Biomed. Signal Process. Control., 2021)

Glomerulosclerosis Identification Using a Modified Dense Convolutional Network. - Justino Santos; Vinícius P. Machado; Luciano Oliveira; Washington L. C. dos-Santos; Nayze Aldeman; Angelo Amâncio Duarte; Rodrigo Veras (BRACIS (1), 2022)

Using Clinical Data and Deep Features in Renal Pathologies Classification. - Laiara Cristina da Silva; Vinícius P. Machado; Rodrigo Veras; Keylla Maria de Sá Urtiga Aita; Semiramis Jamil Hadad do Monte; Nayze Aldeman; Justino Santos (ISDA (2), 2022)

A hybrid descriptor to improve kidney pathologies classification. - Laiara Cristina da Silva; Vinícius Ponte Machado; Rodrigo de Melo Souza Veras; Keylla Maria de Sá Urtiga Aita; Semiramis Jamil Hadad do Monte; Nayze Lucena Sangreman Aldeman (SAC, 2022)

Glomerulosclerosis detection with pre-trained CNNs ensemble. - Justino Santos; Romuere R. V. Silva; Luciano Oliveira; Washington L. C. dos-Santos; Nayze Aldeman; Angelo Amâncio Duarte; Rodrigo Veras (Comput. Stat., 2024)