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Rodrigo M. S. Veras
Rodrigo de Melo Souza Veras – Rodrigo Veras
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2020 – today
- 2024
- [j24]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) - [j23]Justino Santos
Glomerulosclerosis detection with pre-trained CNNs ensemble. Comput. Stat. 39(2): 561-581 (2024) - [j22]Ricardo Teles Freitas
A CNN-based multi-level face alignment approach for mitigating demographic bias in clinical populations. Comput. Stat. 39(5): 2557-2579 (2024) - [j21]Rafael Albuquerque Pinto
Inferring ECG Waveforms from PPG Signals with a Modified U-Net Neural Network. Sensors 24(18): 6046 (2024) - 2023
- [j20]Rodrigo de Melo Souza Veras:
Brazilian Symposium on computing applied to Healthcare (SBCAS). Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11(3): 287 (2023) - [j19]Maura Rocha, Maíla de Lima Claro, Laurindo de S. B. Neto, Kelson Rômulo Teixeira Aires, Vinícius Machado, Rodrigo Veras
Malaria parasites detection and identification using object detectors based on deep neural networks: a wide comparative analysis. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11(3): 351-368 (2023) - [j18]Thiago José Barbosa Lima
Automatic classification of pulmonary nodules in computed tomography images using pre-trained networks and bag of features. Multim. Tools Appl. 82(27): 42977-42993 (2023) - [j17]Clésio Gonçalves
Automatic detection of Visceral Leishmaniasis in humans using Deep Learning. Signal Image Video Process. 17(7): 3595-3601 (2023) - [c42]José Nazareno Alves Rodrigues, Kelson Rômulo Teixeira Aires, André Castelo Branco Soares, Vinícius Ponte Machado, Rodrigo de Melo Souza Veras:
Classification of Facial Images Using Deep Learning Models to Support ASD Identification. CLEI 2023: 1-9 - [c41]Mamadou Barry, Rodrigo Veras, Ziyu Wang, Junhao Xiang, Wang Yu, Lifeng Zhou:
Funeral at Nine. SIGGRAPH Asia Computer Animation Festival 2023: 16:1 - 2022
- [j16]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) - [j15]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) - [j14]Elineide S. dos Santos
Semi-automatic segmentation of skin lesions based on superpixels and hybrid texture information. Medical Image Anal. 77: 102363 (2022) - [j13]Alan Carlos de Moura Lima
An automated CNN architecture search for glaucoma diagnosis based on NEAT. Multim. Tools Appl. 81(10): 13441-13465 (2022) - [c40]Justino Santos, Vinícius P. Machado, Luciano Oliveira, Washington L. C. dos-Santos
Glomerulosclerosis Identification Using a Modified Dense Convolutional Network. BRACIS (1) 2022: 237-252 - [c39]Elineide Santos, Francisco Santos, João Dallyson Sousa de Almeida, Kelson Rômulo Teixeira Aires, João Manuel R. S. Tavares
Diabetic Foot Ulcers Classification using a fine-tuned CNNs Ensemble. CBMS 2022: 282-287 - [c38]Laiara Cristina da Silva, Vinícius P. Machado, Rodrigo Veras, Keylla Maria de Sá Urtiga Aita, Semiramis Jamil Hadad do Monte, Nayze Aldeman, Justino Santos:
Using Clinical Data and Deep Features in Renal Pathologies Classification. ISDA (2) 2022: 137-146 - [c37]Júlio Vitor Monteiro Marques, Clésio de Araújo Gonçalves, José Fernando de Carvalho Ferreira, Rodrigo de Melo Souza Veras, Ricardo de Andrade Lira Rabelo, Romuere Rôdrigues Veloso e Silva:
Detection of COVID-19 in Computed Tomography Images Using Deep Learning. ISDA (4) 2022: 143-152 - [c36]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 - [c35]Laiara Cristina da Silva, Vinícius Ponte Machado, Rodrigo de Melo Souza Veras, Keylla Maria de Sá Urtiga Aita, Semiramis Jamil Hadad do Monte, Nayze Lucena Sangreman Aldeman:
A hybrid descriptor to improve kidney pathologies classification. SAC 2022: 653-659 - [c34]Marcel Moura, Rodrigo Veras, Vinícius P. Machado:
CAIBAL: cluster-attribute interdependency based automatic labeler. SAC 2022: 1109-1116 - [c33]Joselito Mendes de Sousa Júnior, Vinícius Ponte Machado, Rodrigo de Melo Souza Veras, Roney Lira de Sales Santos, Bruno Vicente Alves de Lima, Aline Montenegro Leal Silva, Francisco Alysson da Silva Sousa, Francisco das Chagas Imperes Filho:
Public Administration Suppliers Classification Model Based on Supervised Machine Learning. SBSI 2022: 41:1-41:8 - 2021
- [j12]Justino Santos
A hybrid of deep and textural features to differentiate glomerulosclerosis and minimal change disease from glomerulus biopsy images. Biomed. Signal Process. Control. 70: 103020 (2021) - [j11]Jullyana Fialho Pinheiro, João Dallyson Sousa de Almeida
Automatic ocular version evaluation in images using random forest. Expert Syst. Appl. 176: 114847 (2021) - [j10]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) - [c32]Helano Miguel B. F. Portela
A Coarse to Fine Corneal Ulcer Segmentation Approach Using U-net and DexiNed in Chain. CIARP 2021: 13-23 - [c31]Alan R. F. dos Santos
Melanoma Classification Approach with Deep Learning-Based Feature Extraction Models. CLEI 2021: 1-8 - [c30]Júlio César da Silva Soares
Classification of pollen grain images with MobileNet. CLEI 2021: 1-10 - [c29]Lúcia Emília Soares Silva, Vinícius Ponte Machado, Sidiney Souza Araujo, Bruno Vicente Alves de Lima, Rodrigo de Melo Souza Veras
Using Regression Error Analysis and Feature Selection to Automatic Cluster Labeling. EPIA 2021: 376-388 - [c28]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
- [j9]Pablo V. C. Lima, Rodrigo de Melo Souza Veras
A semiautomatic segmentation approach to corneal lesions. Comput. Electr. Eng. 84: 106625 (2020) - [j8]Francisco das Chagas Imperes Filho, Vinícius Ponte Machado
Group Labeling Methodology Using Distance-based Data Grouping Algorithms. RITA 27(1): 48-61 (2020) - [c27]Thiago José Barbosa Lima
Evaluation of data balancing techniques in 3D CNNs for the classification of pulmonary nodules in CT images. ISCC 2020: 1-6 - [c26]Daniel Cruz, Maíla de Lima Claro, Rodrigo Veras
P-FideNet: Plasmodium Falciparum Identification Neural Network. ISVC (1) 2020: 369-380 - [c25]Elineide Santos
A Skin Lesion Semi-supervised Segmentation Method. IWSSIP 2020: 33-38 - [c24]Maíla de Lima Claro, Luis H. S. Vogado, Rodrigo Veras
Convolution Neural Network Models for Acute Leukemia Diagnosis. IWSSIP 2020: 63-68 - [c23]Marcos Melo Ferreira, Giovanna Pavani Esteve, Geraldo Braz Junior
Multilevel CNN for Angle Closure Glaucoma Detection using AS-OCT Images. IWSSIP 2020: 105-110 - [c22]Valeska Uchôa, Kelson Rômulo Teixeira Aires, Rodrigo Veras
Data Augmentation for Face Recognition with CNN Transfer Learning. IWSSIP 2020: 143-148 - [c21]Ricardo Teles Freitas
Improving Active Shape Models Robustness Towards Locating Facial Landmarks In Profile Contour. IWSSIP 2020: 149-154 - [c20]Leonardo Pereira Sousa, Rodrigo M. S. Veras
Banknote Identification Methodology for Visually Impaired People. IWSSIP 2020: 261-266
2010 – 2019
- 2019
- [j7]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) - [j6]Maíla de Lima Claro, Rodrigo Veras
An hybrid feature space from texture information and transfer learning for glaucoma classification. J. Vis. Commun. Image Represent. 64 (2019) - [j5]Nayara Holanda de Moura, Rodrigo de Melo Souza Veras
ABCD rule and pre-trained CNNs for melanoma diagnosis. Multim. Tools Appl. 78(6): 6869-6888 (2019) - 2018
- [j4]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) - [j3]Romuere R. V. e Silva
Detection of helmets on motorcyclists. Multim. Tools Appl. 77(5): 5659-5683 (2018) - [j2]Maíla de Lima Claro
Diagnóstico de Glaucoma Utilizando Atributos de Textura e CNN's Pré-treinadas. RITA 25(1): 82-89 (2018) - [c19]Francisco N. C. de Araujo, Vinícius P. Machado
Automatic Cluster Labeling Based on Phylogram Analysis. IJCNN 2018: 1-8 - [c18]Luís Santos, Rodrigo M. S. Veras
Medical Image Segmentation Using Seeded Fuzzy C-means: A Semi-supervised Clustering Algorithm. IJCNN 2018: 1-7 - [c17]Nayara Holanda de Moura, Rodrigo M. S. Veras
Combining ABCD Rule, Texture Features and Transfer Learning in Automatic Diagnosis of Melanoma. ISCC 2018: 508-513 - [c16]Elineide Santos
A Semiautomatic Superpixel Based Approach to Cup-to-Disc Ratio Measurement. ISCC 2018: 621-626 - 2017
- [j1]Luiz Câmara Neto, Geraldo L. B. Ramalho
An unsupervised coarse-to-fine algorithm for blood vessel segmentation in fundus images. Expert Syst. Appl. 78: 182-192 (2017) - [c15]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 - [c14]Luís Santos, Rodrigo M. S. Veras
A seeded fuzzy C-means based approach to automatic cup-to-disc ratio measurement. SMC 2017: 1075-1080 - 2016
- [c13]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 - 2015
- [c12]Rodrigo M. S. Veras
SURF Descriptor and Pattern Recognition Techniques in Automatic Identification of Pathological Retinas. BRACIS 2015: 316-321 - 2014
- [c11]Rodrigo de Melo Souza Veras
Automatic Detection of Fovea in Retinal Images Using Fusion of Color Bands. SIBGRAPI 2014: 119-124 - [c10]Romuere Rôdrigues Veloso e Silva
Helmet Detection on Motorcyclists Using Image Descriptors and Classifiers. SIBGRAPI 2014: 141-148 - 2013
- [c9]Romuere R. V. e Silva
Automatic detection of motorcyclists without helmet. CLEI 2013: 1-7 - [c8]Rodrigo M. S. Veras
Assessing the accuracy of macula detection methods in retinal images. DSP 2013: 1-6 - [c7]Francisco Jhonatas da Silva, Antonio de Oliveira, Rodrigo Veras:
Um Algoritmo Genético Paralelo Aplicado ao Problema de Cobertura de Conjuntos. SBSI 2013: 224-229 - [c6]Renan Fortes Tourinho, Antonio Costa de Oliveira, Rodrigo de Melo Souza Veras:
Um Algoritmo Genético para Seleção de Portfólio de Investimentos com Restrições de Cardinalidade e Lotes-Padrão. SBSI 2013: 541-552 - 2012
- [c5]Romuere R. V. e Silva
Study and implementation of descriptors and classifiers for automatic detection of motorcycle on public roads. CLEI 2012: 1-10 - [c4]Rodrigo Veras, Leonardo de Sousa, Marcos Frazão, Iális de Paula Jr, Vinícius Machado:
E-PL: Um Objeto de Aprendizagem para o Ensino de Programação Linear. SBSI 2012: 552-563 - 2011
- [c3]André M. Santana, Kelson Rômulo Teixeira Aires, Rodrigo M. S. Veras
An Approach for 2D Visual Occupancy Grid Map Using Monocular Vision. CLEI Selected Papers 2011: 175-191
2000 – 2009
- 2009
- [c2]Charles Iury Oliveira Martins, Fátima Nelsizeuma Sombra de Medeiros, Rodrigo M. S. Veras
Evaluation of retinal vessel segmentation methods for microaneurysms detection. ICIP 2009: 3365-3368 - 2007
- [c1]Marcelino C. Pequeno, Rodrigo de Melo Souza Veras, Wladimir A. Tavares:
Handling Exceptions in nonmonotonic reasoning. LA-NMR 2007
Coauthor Index
Flávio H. D. Araújo
aka: Flávio Henrique Duarte de Araújo
aka: Flávio Henrique Duarte de Araújo
Fátima N. S. de Medeiros
aka: Fátima Nelsizeuma Sombra de Medeiros
aka: Fátima Nelsizeuma Sombra de Medeiros
Luis H. S. Vogado
aka: Luis Henrique Silva Vogado
aka: Luis Henrique Silva Vogado
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last updated on 2024-10-23 21:26 CEST by the dblp team
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