Adriell Gomes Marques

According to our database, Adriell Gomes Marques authored at least 11 papers between 2020 and 2024.

Collaborative distances:

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

2024

New Approach Generative AI Melanoma Data Fusion for Classification in Dermoscopic Images with Large Language Model.

Adriell Gomes Marques, Marcus Vinicius Candido de Figueiredo, José Jerovane da Costa Nascimento, Cidcley Teixeira de Souza, Carlos Mauricio Jaborandy de Mattos Dourado Junior, Victor Hugo C. de Albuquerque, Luís Fabrício de Freitas Souzal

Proceedings of the 37th SIBGRAPI Conference on Graphics, Patterns and Images, 2024

Wearable Stroke Alert System - New Health of Things Approach Based on Generative AI and Datafusion for Real-Time Stroke Monitoring.

Adriell Gomes Marques, Carlos E. Andrade, José Jerovane da Costa Nascimento, Yasmim Osório Adelino Rodrigues, Guilherme Freire Brilhante Severiano, Paulo Roberto Gomes Abreu Filho, Carlos Mauricio Jaborandy de Mattos Dourado Junior, Luís Fabrício de Freitas Souza

Proceedings of the XIV Brazilian Symposium on Computing Systems Engineering, 2024

2023

Divisible Cell-Segmentation: A New Approach for Stroke Detection and Segmentation in CT Scans Using Deep Learning and Fine-tuning.

Luís Fabrício de F. Souza, Joel R. Michaliszen Junior, Adriell Gomes Marques, Yasmin Osório Adelino Rodrigues, Guilherme Freire Brilhante Severiano, José Jerovane da Costa Nascimento, Pedro Pedrosa Rebouças Filho

Proceedings of the International Joint Conference on Neural Networks, 2023

New Health of Things Approach to Classification and Detection of Brain Tumors Using Transfer Learning for Segmentation in IMR Images.

José Jerovane da Costa Nascimento, Adriell Gomes Marques, Matheus Araujo dos Santos, Lucas de O. Santos, Julio Macedo Chaves, Luís Fabrício de F. Souza, Pedro Pedrosa Rebouças Filho

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

New fully automatic approach for tissue identification in histopathological examinations using transfer learning.

Yongzhao Xu, Matheus A. dos Santos, Luís Fabrício de F. Souza, Adriell Gomes Marques, Lijuan Zhang, José Jerovane da Costa Nascimento, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho

IET Image Process., 2022

New Approach in LPR Systems Using Deep Learning to Classify Mercosur License Plates with Perspective Adjustment.

Luís Fabrício de F. Souza, José Jerovane da Costa Nascimento, Cyro M. G. Sabóia, Adriell Gomes Marques, Guilherme Freire Brilhante Severiano, Lucas de Oliveira Santos, Paulo A. L. Rego, Pedro Pedrosa Rebouças Filho

Proceedings of the Intelligent Systems Design and Applications - 22nd International Conference on Intelligent Systems Design and Applications (ISDA 2022) Held December 12-14, 2022, 2022

Fully Automatic LPR Method Using Haar Cascade for Real Mercosur License Plates.

Cyro M. G. Sabóia, Adriell Gomes Marques, Luís Fabrício de Freitas Souza, Solon Alves Peixoto, Matheus A. dos Santos, Antônio Carlos da Silva Barros, Paulo A. L. Rego, Pedro Pedrosa Rebouças Filho

Proceedings of the Intelligent Systems Design and Applications - 22nd International Conference on Intelligent Systems Design and Applications (ISDA 2022) Held December 12-14, 2022, 2022

Automatic Segmentation of Hemorrhagic Stroke on Brain CT Images Using Convolutional Neural Networks Through Fine-Tuning.

Adriell Gomes Marques, Luís Fabrício de F. Souza, Matheus Araujo dos Santos, José Jerovane da Costa Nascimento, Róger Moura Sarmento, Iago Belarmino Lucena, Iágson Carlos Lima Silva, Pedro Pedrosa Rebouças Filho

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

A soft computing automatic based in deep learning with use of fine-tuning for pulmonary segmentation in computed tomography images.

Yongzhao Xu, Luís Fabrício de F. Souza, Iágson Carlos Lima Silva, Adriell Gomes Marques, Francisco H. S. Silva, Virgínia Xavier Nunes, Tao Han, Chuanyu Jia, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho

Appl. Soft Comput., 2021

2020

Internet of Medical Things: An Effective and Fully Automatic IoT Approach Using Deep Learning and Fine-Tuning to Lung CT Segmentation.

Luís Fabrício de F. Souza, Iágson Carlos Lima Silva, Adriell Gomes Marques, Francisco Hércules dos S. Silva, Virgínia Xavier Nunes, Mohammad Mehedi Hassan, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho

Sensors, 2020

Internet of Medical Things - Based on Deep Learning Techniques for Segmentation of Lung and Stroke Regions in CT Scans.

Tao Han, Virgínia Xavier Nunes, Luís Fabrício de F. Souza, Adriell Gomes Marques, Iágson Carlos Lima Silva, Marcos Aurelio A. Ferreira Junior, Jinghua Sun, Pedro Pedrosa Rebouças Filho

IEEE Access, 2020