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Róger M. Sarmento
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2020 – today
- 2024
- [c5]Marcelo Colares da Silva, Caio Marques Silva, Alexis Galeno Matos, Suane Pires Pinheiro da Silva, Róger Moura Sarmento, Pedro Pedrosa Rebouças Filho, Navar Medeiros M. Nascimento, Rhuan Victor Crescencio Santiago, Cilis Aragao Benevides, Caio Cesar Henrique Cunha:
A New Diabetic Retinopathy Classification Approach Based on Normalizer Free Network. CBMS 2024: 164-169 - 2022
- [c4]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:
Automatic Segmentation of Hemorrhagic Stroke on Brain CT Images Using Convolutional Neural Networks Through Fine-Tuning. IJCNN 2022: 1-8 - [c3]Williana L. S. Leite, Róger M. Sarmento
Feature extraction with mixture gaussian for stroke classification. SIBGRAPI 2022: 91-96 - 2020
- [j4]Francisco Fábio Ximenes Vasconcelos, Róger M. Sarmento
Artificial intelligence techniques empowered edge-cloud architecture for brain CT image analysis. Eng. Appl. Artif. Intell. 91: 103585 (2020) - [j3]Róger M. Sarmento
An IoT platform for the analysis of brain CT images based on Parzen analysis. Future Gener. Comput. Syst. 105: 135-147 (2020) - [c2]Aldísio Gonçalves Medeiros, Lucas de O. Santos
New Adaptive Morphological Geodesic Active Contour Method for Segmentation of Hemorrhagic Stroke in Computed Tomography Image. BRACIS (2) 2020: 604-618
2010 – 2019
- 2017
- [j2]Pedro Pedrosa Rebouças Filho
New approach to detect and classify stroke in skull CT images via analysis of brain tissue densities. Comput. Methods Programs Biomed. 148: 27-43 (2017) - [j1]Pedro Pedrosa Rebouças Filho
Analysis of human tissue densities: A new approach to extract features from medical images. Pattern Recognit. Lett. 94: 211-218 (2017) - [c1]Elizângela de S. Rebouças, Alan M. Braga, Róger Moura Sarmento
Level Set Based on Brain Radiological Densities for Stroke Segmentation in CT Images. CBMS 2017: 391-396
Coauthor Index
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