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Luis H. S. Vogado
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2020 – today
- 2024
- [j9]Helano Miguel B. F. Portela
, Rodrigo M. S. Veras
A corneal ulcer segmentation approach using U-Net and stepwise fine-tuning. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11(7) (2024) - 2023
- [j8]Pablo de Abreu Vieira, Luis H. S. Vogado, Lucas A. Lopes, Ricardo de A. L. Rabelo
Deep learning approach for disease detection in lumbosacral spine radiographs using ConvNet. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11(6): 2560-2575 (2023) - 2022
- [j7]Luis H. S. Vogado, Flávio H. D. Araújo, Pedro de A. Santos Neto
A ensemble methodology for automatic classification of chest X-rays using deep learning. Comput. Biol. Medicine 145: 105442 (2022) - [j6]Maíla de Lima Claro, Rodrigo M. S. Veras, André M. Santana, Luis Henrique Silva Vogado, Geraldo Braz Junior
Assessing the impact of data augmentation and a combination of CNNs on leukemia classification. Inf. Sci. 609: 1010-1029 (2022) - [c10]Francisco Santos, Elineide S. dos Santos, Luis Henrique Silva Vogado, Márcia Ito, Andrea Bianchi, João Manuel R. S. Tavares
DFU-VGG, a Novel and Improved VGG-19 Network for Diabetic Foot Ulcer Classification. IWSSIP 2022: 1-4 - 2021
- [j5]Luis H. S. Vogado, Rodrigo Veras
Diagnosis of Leukaemia in Blood Slides Based on a Fine-Tuned and Highly Generalisable Deep Learning Model. Sensors 21(9): 2989 (2021) - [c9]Helano Miguel B. F. Portela
A Coarse to Fine Corneal Ulcer Segmentation Approach Using U-net and DexiNed in Chain. CIARP 2021: 13-23 - [c8]Luis H. S. Vogado, Pablo Vieira, Pedro de A. Santos Neto, Lucas A. Lopes, Gleison de Andrade e Silva Silva, Flávio H. D. Araújo, Rodrigo Veras
Detection of COVID-19 in chest X-ray images using transfer learning with deep convolutional neural network. SAC 2021: 629-636 - 2020
- [j4]Pablo V. C. Lima, Rodrigo de Melo Souza Veras
A semiautomatic segmentation approach to corneal lesions. Comput. Electr. Eng. 84: 106625 (2020) - [c7]Daniel Cruz, Maíla de Lima Claro, Rodrigo Veras
P-FideNet: Plasmodium Falciparum Identification Neural Network. ISVC (1) 2020: 369-380 - [c6]Maíla de Lima Claro, Luis H. S. Vogado, Rodrigo Veras
Convolution Neural Network Models for Acute Leukemia Diagnosis. IWSSIP 2020: 63-68 - [c5]Leonardo Pereira Sousa, Rodrigo M. S. Veras
Banknote Identification Methodology for Visually Impaired People. IWSSIP 2020: 261-266
2010 – 2019
- 2019
- [j3]Alan R. Andrade, Luis H. S. Vogado, Rodrigo de Melo Souza Veras
Recent computational methods for white blood cell nuclei segmentation: A comparative study. Comput. Methods Programs Biomed. 173: 1-14 (2019) - [c4]Eucassio G. Lima Junior, Luis H. S. Vogado, Ricardo de A. L. Rabelo, Cornélia J. P. Passarinho, Daniela M. Ushizima:
Entropy Projection Curved Gabor with Random Forest and SVM for Face Recognition. ISVC (2) 2019: 235-246 - 2018
- [j2]Luis H. S. Vogado, Rodrigo M. S. Veras
Leukemia diagnosis in blood slides using transfer learning in CNNs and SVM for classification. Eng. Appl. Artif. Intell. 72: 415-422 (2018) - [j1]Maíla de Lima Claro
Diagnóstico de Glaucoma Utilizando Atributos de Textura e CNN's Pré-treinadas. RITA 25(1): 82-89 (2018) - [c3]Eucassio G. Lima Junior, Luis H. S. Vogado, Ricardo de A. L. Rabelo, Cornélia J. P. Passarinho:
Curved Gabor Projection Entropy for Face Recognition. IJCNN 2018: 1-8 - 2017
- [c2]Luis Henrique Silva Vogado, Rodrigo de Melo Souza Veras
Diagnosing Leukemia in Blood Smear Images Using an Ensemble of Classifiers and Pre-Trained Convolutional Neural Networks. SIBGRAPI 2017: 367-373 - 2016
- [c1]Luis H. S. Vogado, Rodrigo de Melo Souza Veras, Alan R. Andrade, Romuere R. V. e Silva
Unsupervised Leukemia Cells Segmentation Based on Multi-space Color Channels. ISM 2016: 451-456
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