A computational method to aid the detection and annotation of pleural lesions in CT images of the thorax. - Azael de Melo e Sousa; Alexandre Xavier Falcão; Ericson Bagatin; Gustavo Souza Meirelles (Image Processing, 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)

Improving Lung Nodule Detection with Learnable Non-Maximum Suppression. - Elvis R. Capia; Azael de Melo e Sousa; Alexandre X. Falcão (ISBI, 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)

Differential Dynamic Trees for Interactive Image Segmentation. - Ilan F. Da Silva; Azael de Melo e Sousa; Alexandre X. Falcão; Jordão Bragantini (ICPR, 2022)

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)

A Flyweight CNN with Adaptive Decoder for Schistosoma mansoni Egg Detection. - Leonardo de Melo Joao; Azael de Melo e Sousa; Bianca Martins dos Santos; Silvio Jamil Ferzoli Guimarães; Jancarlo Ferreira Gomes; Ewa Kijak; Alexandre Xavier Falcão (CoRR, 2023)