Self-organizing maps as a tool for segmentation of Magnetic Resonance Imaging (MRI) of relapsing-remitting multiple sclerosis. - Paulo Afonso Mei; Cleyton de Carvalho Carneiro; Michelle Chaves Kuroda; Stephen J. Fraser; Li Li Min; Fabiano Reis (WSOM, 2017)

A Supervoxel-Based Approach for Unsupervised Abnormal Asymmetry Detection in Mr Images of the Brain. - Samuel Botter Martins; Guilherme C. S. Ruppert; Fabiano Reis; Clarissa L. Yasuda; Alexandre X. Falcão (ISBI, 2019)

An Approach for Asbestos-related Pleural Plaque Detection. - Azael de Melo e Sousa; César Castelo-Fernández; Daniel Osaku; Ericson Bagatin; Fabiano Reis; Alexandre X. Falcão (EMBC, 2020)

CNN Filter Learning from Drawn Markers for the Detection of Suggestive Signs of COVID-19 in CT Images. - Azael de Melo e Sousa; Fabiano Reis; Rachel Zerbini; João Luiz Dihl Comba; Alexandre X. Falcão (EMBC, 2021)

Diffusion MRI and silver standard masks to improve CNN-based thalamus segmentation. - Gustavo R. Pinheiro; Lorenza Brusini; Albulena Bajrami; Francesca B. Pizzini; Massimiliano Calabrese; Fabiano Reis; Simone Appenzeller; Gloria Menegaz; Letícia Rittner (Image Processing, 2021)

Improving Automated Lung Segmentation in Ct Images by Adding Anomalies Adjacent to the Pleura. - Azael de Melo e Sousa; Ilan F. Da Silva; Noemí Maritza Lapa Romero; Rachel Zerbini; Fabiano Reis; João Luiz Dihl Comba; Alexandre X. Falcão (ISBI, 2022)

Automated quality check of corpus callosum segmentation using deep learning. - William J. Herrera; Simone Appenzeller; Fabiano Reis; Danilo Pereira; Mariana P. Bento; Letícia Rittner (Image Processing, 2022)