Luís Fabrício de F. Souza

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 12

Top Topics

Top Venues

Artif. Intell. Medicine

IET Image Process.

Publications

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
Divisible Cell-Segmentation: A New Approach for Stroke Detection and Segmentation in CT Scans Using Deep Learning and Fine-tuning. IJCNN (2023)
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
New Health of Things Approach to Classification and Detection of Brain Tumors Using Transfer Learning for Segmentation in IMR Images. IJCNN (2023)
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
New fully automatic approach for tissue identification in histopathological examinations using transfer learning. IET Image Process. 16 (11) (2022)
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
New Approach in LPR Systems Using Deep Learning to Classify Mercosur License Plates with Perspective Adjustment. ISDA (2) (2022)
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
A soft computing automatic based in deep learning with use of fine-tuning for pulmonary segmentation in computed tomography images. Appl. Soft Comput. 112 (2021)
Virgínia Xavier Nunes, Aldísio Gonçalves Medeiros, Raylson Silva de Lima, Luís Fabrício de F. Souza, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho
A Novel Web Platform for COVID-19 diagnosis using X-Ray exams and Deep Learning Techniques. IJCNN (2021)
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
Internet of Medical Things - Based on Deep Learning Techniques for Segmentation of Lung and Stroke Regions in CT Scans. IEEE Access 8 (2020)
Luís Fabrício de F. Souza, Gabriel Bandeira Holanda, Francisco Hércules dos S. Silva, Shara Shami Araújo Alves, Pedro Pedrosa Rebouças Filho
Automatic lung segmentation in CT images using mask R-CNN for mapping the feature extraction in supervised methods of machine learning using transfer learning. Int. J. Hybrid Intell. Syst. 16 (4) (2020)
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
Internet of Medical Things: An Effective and Fully Automatic IoT Approach Using Deep Learning and Fine-Tuning to Lung CT Segmentation. Sensors 20 (23) (2020)
Marcos A. Araujo Ferreira, Luís Fabrício de F. Souza, Francisco Hércules dos S. Silva, Elene Firmeza Ohata, Jefferson Silva Almeida, Pedro Pedrosa Rebouças Filho
Intelligent Industrial IoT system for detection of short-circuit failure in windings of wind turbines. IJCNN (2020)
Qinhua Hu, Luís Fabrício de F. Souza, Gabriel Bandeira Holanda, Shara S. A. Alves, Francisco Hércules dos S. Silva, Tao Han, Pedro Pedrosa Rebouças Filho
An effective approach for CT lung segmentation using mask region-based convolutional neural networks. Artif. Intell. Medicine 103 (2020)
Luís Fabrício de F. Souza, Gabriel Bandeira Holanda, Shara S. A. Alves, Francisco Hércules dos S. Silva, Pedro Pedrosa Rebouças Filho
Automatic Lung Segmentation in CT Images Using Mask R-CNN for Mapping the Feature Extraction in Supervised Methods of Machine Learning. ISDA (2019)