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Azael de Melo e Sousa
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2020 – today
- 2023
- [i2]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:
A Flyweight CNN with Adaptive Decoder for Schistosoma mansoni Egg Detection. CoRR abs/2306.14840 (2023) - 2022
- [c6]Ilan F. Da Silva, Azael de Melo e Sousa, Alexandre X. Falcão, Jordão Bragantini:
Differential Dynamic Trees for Interactive Image Segmentation. ICPR 2022: 4328-4334 - [c5]Azael de Melo e Sousa, Ilan F. Da Silva, Noemí Maritza Lapa Romero, Rachel Zerbini, Fabiano Reis, João Luiz Dihl Comba, Alexandre X. Falcão:
Improving Automated Lung Segmentation in Ct Images by Adding Anomalies Adjacent to the Pleura. ISBI 2022: 1-5 - 2021
- [c4]Azael de Melo e Sousa, Fabiano Reis, Rachel Zerbini, João Luiz Dihl Comba, Alexandre X. Falcão:
CNN Filter Learning from Drawn Markers for the Detection of Suggestive Signs of COVID-19 in CT Images. EMBC 2021: 3169-3172 - [i1]Azael de Melo e Sousa, Fabiano Reis, Rachel Zerbini, João Luiz Dihl Comba, Alexandre X. Falcão:
CNN Filter Learning from Drawn Markers for the Detection of Suggestive Signs of COVID-19 in CT Images. CoRR abs/2111.08710 (2021) - 2020
- [c3]Azael de Melo e Sousa, César Castelo-Fernández, Daniel Osaku, Ericson Bagatin, Fabiano Reis, Alexandre X. Falcão:
An Approach for Asbestos-related Pleural Plaque Detection. EMBC 2020: 1343-1346 - [c2]Elvis R. Capia, Azael de Melo e Sousa, Alexandre X. Falcão:
Improving Lung Nodule Detection with Learnable Non-Maximum Suppression. ISBI 2020: 1861-1865
2010 – 2019
- 2019
- [c1]Azael de Melo e Sousa, Alexandre Xavier Falcão, Ericson Bagatin, Gustavo Souza Meirelles:
A computational method to aid the detection and annotation of pleural lesions in CT images of the thorax. Medical Imaging: Image Processing 2019: 109490Z
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