Alexandre Pessoa

According to our database, Alexandre Pessoa authored at least 17 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Automatic Classification of Whole-Body PET Scans Using Deep Features.

Celso Luiz Silva Soares Filho, Darlan Bruno Pontes Quintanilha, Alison Corrêa Mendes, Anselmo Cardoso de Paiva, Alexandre Pessoa, Ramsey D. Badawi, Vivek Swarnakar, Cláudio de Souza Baptista

Proceedings of the 21st International Conference on Computer Vision Theory and Applications, 2026

2025

Evaluating EfficientNet Architectures for Pathology Detection in Endoscopic Gastrointestinal Tract Images.

Alexandre C. P. Pessoa, Darlan B. P. Quintanilha, João Dallyson Sousa de Almeida, Geraldo Braz Júnior, Anselmo Cardoso de Paiva, António Cunha

SN Comput. Sci., June, 2025

A Deep Metric Learning Approach for Content Based Image Retrieval in Rock Tomography: A Triplet Loss Study.

Anderson Silva, Marcos Farias, João de Souza, Daniel Pinto, Filipe Correa Belfort, Mario Freitas, Alexandre Cristian Araújo, Alexandre Pessoa, Aristófanes Corrêa Silva, Andrey Rodrigues, Marcelo Albuquerque

Proceedings of the 38th SIBGRAPI Conference on Graphics, Patterns and Images, 2025

Assessing the Attention Layers in Convolutional Neural Networks for Penile Cancer Detection in Histopathological Images.

Joana Kuelvia de Araújo Silva, Geraldo Braz Júnior, Anselmo Cardoso de Paiva, Italo Francyles Santos da Silva, Alexandre César Pinto Pessoa

Proceedings of the 27th International Conference on Enterprise Information Systems, 2025

2024

Enhancing Image Annotation With Object Tracking and Image Retrieval: A Systematic Review.

Rodrigo Fernandes, Alexandre Pessoa, Marta Salgado, Anselmo Cardoso de Paiva, Ishak Paçal, António Cunha

IEEE Access, 2024

A Comparative Analysis of EfficientNet Architectures for Identifying Anomalies in Endoscopic Images.

Alexandre C. P. Pessoa, Darlan B. P. Quintanilha, João Dallyson Sousa de Almeida, Geraldo Braz Júnior, Anselmo Cardoso de Paiva, António Cunha

Proceedings of the 26th International Conference on Enterprise Information Systems, 2024

A Cascade Method based on UNet3+ for Automated Vertebrae Segmentation in X-ray Images.

Estephane M. Nascimento, Aristófanes C. Silva, João Dallyson Sousa de Almeida, Alexandre C. P. Pessoa, Weslley K. R. Figueredo, Italo Francyles Santos da Silva, Geraldo Braz Júnior, Anselmo Cardoso de Paiva, António Cunha

Proceedings of the CENTERIS 2024 - International Conference on ENTERprise Information Systems / ProjMAN - International Conference on Project MANagement / HCist, 2024

Automated Tooth Detection and Numbering in Panoramic Radiographs Using YOLO.

Alison Corrêa Mendes, Darlan Bruno Pontes Quintanilha, Alexandre César Pinto Pessoa, Anselmo Cardoso de Paiva, Pedro de Alcântara dos Santos Neto

Proceedings of the CENTERIS 2024 - International Conference on ENTERprise Information Systems / ProjMAN - International Conference on Project MANagement / HCist, 2024

A Deep Learning Approach to Annotating Endoscopic Capsule Videos via CBIR.

Inês Castro Fernandes, Rodrigo Fernandes, Alexandre Pessoa, Marta Salgado, Anselmo Cardoso de Paiva, Ishak Paçal, António Cunha

Proceedings of the CENTERIS 2024 - International Conference on ENTERprise Information Systems / ProjMAN - International Conference on Project MANagement / HCist, 2024

Detection of Pathological Regions of the Gastrointestinal Tract in Capsule Images Using EfficientNetV2 and YOLOv8.

Anderson Lopes Silva, Hellen Guterres França, Carlos Mendes dos Santos Neto, Alexandre César Pinto Pessoa, Darlan Bruno Pontes Quintanilha, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva

Proceedings of the Intelligent Systems - 34th Brazilian Conference, 2024

2023

Abnormality Detection in Wireless Capsule Endoscopy Images Using Deep Features.

Daniel G. P. de Sá, Giulia de A. Freulonx, Marcio P. Ferreira, Alexandre C. P. Pessoa, Darlan B. P. Quintanilha, Aristófanes C. Silva

Proceedings of the Wireless Mobile Communication and Healthcare, 2023

Polyp Segmentation in Colonoscopy Images.

Marcio P. Ferreira, Giulia de A. Freulon, Daniel G. Piorsky, Alexandre C. P. Pessoa, Darlan B. P. Quintanilha, Aristófanes C. Silva

Proceedings of the Wireless Mobile Communication and Healthcare, 2023

Evaluation of Deep Learning Models in Search by Example using Capsule Endoscopy Images.

Rodrigo Fernandes, Alexandre Pessoa, José Nogueira, Anselmo Cardoso de Paiva, Ishak Paçal, Marta Salgado, António Cunha

Proceedings of the CENTERIS 2023 - International Conference on ENTERprise Information Systems / ProjMAN - International Conference on Project MANagement / HCist, 2023

Multi-label Classification of Pathologies in Chest Radiograph Images Using DenseNet.

Alison Corrêa Mendes, Alexandre César Pinto Pessoa, Anselmo Cardoso de Paiva

Proceedings of the Intelligent Systems - 12th Brazilian Conference, 2023

2022

Classification of Video Capsule Endoscopy Images Using Visual Transformers.

Daniel Lopes Soares Lima, Alexandre César Pinto Pessoa, Anselmo Cardoso de Paiva, António Manuel Trigueiros da Silva Cunha, Geraldo Braz Júnior, João Dallyson Sousa de Almeida

Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022

2021

Forecasting of individual electricity consumption using Optimized Gradient Boosting Regression with Modified Particle Swarm Optimization.

Luis Fernando Marin Sepulveda, Petterson Sousa Diniz, João Otávio Bandeira Diniz, Stelmo Magalhães Barros Netto, Carolina L. S. Cipriano, Alexandre Cristian Araújo, Victor H. B. Lemos, Alexandre C. P. Pessoa, Darlan Bruno Pontes Quintanilha, João Dallyson Sousa de Almeida, Aristófanes C. Silva, Anselmo Cardoso de Paiva, Geraldo Braz Júnior, Márcia I. A. Silva, Eliana Marcia Garros Monteiro, Italo Francyles Santos da Silva, Eduardo C. Fernandes

Eng. Appl. Artif. Intell., 2021

TIMEG: Development and Evaluation of an Inspection Checklist Tool for Mobile Educational Games.

Kastney Frazão, Alexandre Pessoa, Anselmo Cardoso de Paiva, Davi Viana, Luis Rivero

Proceedings of the 35th Brazilian Symposium on Software Engineering, 2021