Rodrigo M. S. Veras

According to our database, Rodrigo M. S. Veras authored at least 66 papers between 2007 and 2024.

Collaborative distances:

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

2024

Inferring ECG Waveforms from PPG Signals with a Modified U-Net Neural Network.

Rafael Albuquerque Pinto, Hygo Sousa De Oliveira, Eduardo Souto, Rafael Giusti, Rodrigo Veras

Sensors, September, 2024

A CNN-based multi-level face alignment approach for mitigating demographic bias in clinical populations.

Ricardo Teles Freitas, Kelson Rômulo Teixeira Aires, Anselmo Cardoso de Paiva, Rodrigo M. S. Veras, Pedro L. M. Soares

Comput. Stat., July, 2024

Glomerulosclerosis detection with pre-trained CNNs ensemble.

Justino Santos, Romuere R. V. Silva, Luciano Oliveira, Washington L. C. dos-Santos, Nayze Aldeman, Angelo Amâncio Duarte, Rodrigo Veras

Comput. Stat., April, 2024

A corneal ulcer segmentation approach using U-Net and stepwise fine-tuning.

Helano Miguel B. F. Portela, Rodrigo M. S. Veras, Luis H. S. Vogado, Daniel Leite, Paulo E. Ambrósio, Anselmo Cardoso de Paiva, João Manuel R. S. Tavares

Comput. methods Biomech. Biomed. Eng. Imaging Vis., January, 2024

2023

Automatic classification of pulmonary nodules in computed tomography images using pre-trained networks and bag of features.

Thiago José Barbosa Lima, Daniel S. Luz, Antonio Oseas, Rodrigo Veras, Flávio H. D. Araújo

Multim. Tools Appl., November, 2023

Automatic detection of Visceral Leishmaniasis in humans using Deep Learning.

Clésio Gonçalves, Nathália Andrade, Armando Luz Borges, Anderson Rodrigues, Rodrigo Veras, Bruno Aguiar, Romuere R. V. Silva

Signal Image Video Process., October, 2023

Brazilian Symposium on computing applied to Healthcare (SBCAS).

Rodrigo de Melo Souza Veras

Comput. methods Biomech. Biomed. Eng. Imaging Vis., May, 2023

Malaria parasites detection and identification using object detectors based on deep neural networks: a wide comparative analysis.

Maura Rocha, Maíla de Lima Claro, Laurindo de S. B. Neto, Kelson Rômulo Teixeira Aires, Vinícius Machado, Rodrigo Veras

Comput. methods Biomech. Biomed. Eng. Imaging Vis., May, 2023

Funeral at Nine.

Mamadou Barry, Rodrigo Veras, Ziyu Wang, Junhao Xiang, Wang Yu, Lifeng Zhou

Proceedings of the SIGGRAPH Asia 2023 Computer Animation Festival, 2023

Classification of Facial Images Using Deep Learning Models to Support ASD Identification.

José Nazareno Alves Rodrigues, Kelson Rômulo Teixeira Aires, André Castelo Branco Soares, Vinícius Ponte Machado, Rodrigo de Melo Souza Veras

Proceedings of the XLIX Latin American Computer Conference, 2023

2022

An automated CNN architecture search for glaucoma diagnosis based on NEAT.

Alan Carlos de Moura Lima, Geraldo Braz Junior, João Dallyson Sousa de Almeida, Anselmo Cardoso de Paiva, Rodrigo M. S. Veras

Multim. Tools Appl., 2022

Semi-automatic segmentation of skin lesions based on superpixels and hybrid texture information.

Elineide S. dos Santos, Rodrigo de Melo Souza Veras, Kelson Rômulo Teixeira Aires, Helano Miguel B. F. Portela, Geraldo Braz Junior, Justino Santos, João Manuel R. S. Tavares

Medical Image Anal., 2022

Assessing the impact of data augmentation and a combination of CNNs on leukemia classification.

Maíla de Lima Claro, Rodrigo M. S. Veras, André M. Santana, Luis Henrique Silva Vogado, Geraldo Braz Junior, Fátima N. S. de Medeiros, João Manuel R. S. Tavares

Inf. Sci., 2022

A ensemble methodology for automatic classification of chest X-rays using deep learning.

Luis H. S. Vogado, Flávio H. D. Araújo, Pedro de A. Santos Neto, João Almeida, João Manuel R. S. Tavares, Rodrigo Veras

Comput. Biol. Medicine, 2022

Public Administration Suppliers Classification Model Based on Supervised Machine Learning.

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

Proceedings of the SBSI: XVIII Brazilian Symposium on Information Systems, Curitiba, Brazil, May 16, 2022

A hybrid descriptor to improve kidney pathologies classification.

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

Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022

CAIBAL: cluster-attribute interdependency based automatic labeler.

Marcel Moura, Rodrigo Veras, Vinícius P. Machado

Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022

DFU-VGG, a Novel and Improved VGG-19 Network for Diabetic Foot Ulcer Classification.

Francisco Santos, Elineide S. dos Santos, Luis Henrique Silva Vogado, Márcia Ito, Andrea Bianchi, João Manuel R. S. Tavares, Rodrigo Veras

Proceedings of the 29th International Conference on Systems, Signals and Image Processing, 2022

Using Clinical Data and Deep Features in Renal Pathologies Classification.

Laiara Cristina da Silva, Vinícius P. Machado, Rodrigo Veras, Keylla Maria de Sá Urtiga Aita, Semiramis Jamil Hadad do Monte, Nayze Aldeman, Justino Santos

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

Detection of COVID-19 in Computed Tomography Images Using Deep Learning.

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

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

Diabetic Foot Ulcers Classification using a fine-tuned CNNs Ensemble.

Elineide Santos, Francisco Santos, João Dallyson Sousa de Almeida, Kelson Rômulo Teixeira Aires, João Manuel R. S. Tavares, Rodrigo Veras

Proceedings of the 35th IEEE International Symposium on Computer-Based Medical Systems, 2022

Glomerulosclerosis Identification Using a Modified Dense Convolutional Network.

Justino Santos, Vinícius P. Machado, Luciano Oliveira, Washington L. C. dos-Santos, Nayze Aldeman, Angelo Amâncio Duarte, Rodrigo Veras

Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022

2021

Diagnosis of Leukaemia in Blood Slides Based on a Fine-Tuned and Highly Generalisable Deep Learning Model.

Luis H. S. Vogado, Rodrigo Veras, Kelson Rômulo Teixeira Aires, Flávio H. D. Araújo, Romuere R. V. Silva, Moacir Ponti, João Manuel R. S. Tavares

Sensors, 2021

Automatic ocular version evaluation in images using random forest.

Jullyana Fialho Pinheiro, João Dallyson Sousa de Almeida, Jorge Antonio Meireles Teixeira, Geraldo Braz Junior, Anselmo Cardoso de Paiva, Aristófanes Corrêa Silva, Rodrigo de Melo Souza Veras

Expert Syst. Appl., 2021

A hybrid of deep and textural features to differentiate glomerulosclerosis and minimal change disease from glomerulus biopsy images.

Justino Santos, Rodrigo de Melo Souza Veras, Romuere R. V. Silva, Nayze Aldeman, Flávio H. D. Araújo, Angelo Amâncio Duarte, João Manuel R. S. Tavares

Biomed. Signal Process. Control., 2021

Detection of COVID-19 in chest X-ray images using transfer learning with deep convolutional neural network.

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

Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021

Using Regression Error Analysis and Feature Selection to Automatic Cluster Labeling.

Lúcia Emília Soares Silva, Vinícius Ponte Machado, Sidiney Souza Araujo, Bruno Vicente Alves de Lima, Rodrigo de Melo Souza Veras

Proceedings of the Progress in Artificial Intelligence, 2021

Classification of pollen grain images with MobileNet.

Júlio César da Silva Soares, Kelson Rômulo Teixeira Aires, Alan Rafael Ferreira dos Santos, Rodrigo de Melo Souza Veras, Otilio Paulo da Silva Neto, Gilberto Nunes Neto, Flávio Henrique Duarte de Araújo

Proceedings of the XLVII Latin American Computing Conference, 2021

Melanoma Classification Approach with Deep Learning-Based Feature Extraction Models.

Alan R. F. dos Santos, Kelson Rômulo Teixeira Aires, Francisco das Chagas Imperes Filho, Leonardo Pereira Sousa, Rodrigo de Melo Souza Veras, Laurindo de S. B. Neto, Antônio L. de M. Neto

Proceedings of the XLVII Latin American Computing Conference, 2021

A Coarse to Fine Corneal Ulcer Segmentation Approach Using U-net and DexiNed in Chain.

Helano Miguel B. F. Portela, Rodrigo de Melo Souza Veras, Luis Henrique Silva Vogado, Daniel Leite, Jefferson Alves de Sousa, Anselmo Cardoso de Paiva, João Manuel R. S. Tavares

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2021

2020

Group Labeling Methodology Using Distance-based Data Grouping Algorithms.

Francisco das Chagas Imperes Filho, Vinícius Ponte Machado, Rodrigo de Melo Souza Veras, Kelson Rômulo Teixeira Aires, Aline Montenegro Leal Silva

RITA, 2020

A semiautomatic segmentation approach to corneal lesions.

Pablo V. C. Lima, Rodrigo de Melo Souza Veras, Luis H. S. Vogado, Helano Miguel B. F. Portela, João Dallyson Sousa de Almeida, Kelson Rômulo Teixeira Aires, Daniel Leite

Comput. Electr. Eng., 2020

Data Augmentation for Face Recognition with CNN Transfer Learning.

Valeska Uchôa, Kelson Rômulo Teixeira Aires, Rodrigo Veras, Anselmo Cardoso de Paiva, Laurindo Britto

Proceedings of the 2020 International Conference on Systems, Signals and Image Processing, 2020

Banknote Identification Methodology for Visually Impaired People.

Leonardo Pereira Sousa, Rodrigo M. S. Veras, Luis H. S. Vogado, Laurindo S. Britto Neto, Romuere R. V. Silva, Flávio H. D. Araújo, Fátima N. S. de Medeiros

Proceedings of the 2020 International Conference on Systems, Signals and Image Processing, 2020

A Skin Lesion Semi-supervised Segmentation Method.

Elineide Santos, Rodrigo Veras, Helano Miguel, Kelson Rômulo Teixeira Aires, Maíla de Lima Claro, Geraldo Braz Junior

Proceedings of the 2020 International Conference on Systems, Signals and Image Processing, 2020

Improving Active Shape Models Robustness Towards Locating Facial Landmarks In Profile Contour.

Ricardo Teles Freitas, Kelson Rômulo Teixeira Aires, Rodrigo de Melo Souza Veras, Anselmo Cardoso de Paiva, Laurindo de S. B. Neto

Proceedings of the 2020 International Conference on Systems, Signals and Image Processing, 2020

Multilevel CNN for Angle Closure Glaucoma Detection using AS-OCT Images.

Marcos Melo Ferreira, Giovanna Pavani Esteve, Geraldo Braz Junior, João Dallyson Sousa de Almeida, Anselmo Cardoso de Paiva, Rodrigo Veras

Proceedings of the 2020 International Conference on Systems, Signals and Image Processing, 2020

Convolution Neural Network Models for Acute Leukemia Diagnosis.

Maíla de Lima Claro, Luis H. S. Vogado, Rodrigo Veras, André Macedo Santana, João Tavares, Justino Santos, Vinícius P. Machado

Proceedings of the 2020 International Conference on Systems, Signals and Image Processing, 2020

P-FideNet: Plasmodium Falciparum Identification Neural Network.

Daniel Cruz, Maíla de Lima Claro, Rodrigo Veras, Luis H. S. Vogado, Helano Miguel B. F. Portela, Nayara Holanda de Moura, Daniel Luz

Proceedings of the Advances in Visual Computing - 15th International Symposium, 2020

Evaluation of data balancing techniques in 3D CNNs for the classification of pulmonary nodules in CT images.

Thiago José Barbosa Lima, Flávio Henrique Duarte de Araújo, Antonio Oseas de Carvalho Filho, Ricardo de Andrade Lira Rabelo, Rodrigo de Melo Souza Veras, Mano Joseph Mathew

Proceedings of the IEEE Symposium on Computers and Communications, 2020

2019

ABCD rule and pre-trained CNNs for melanoma diagnosis.

Nayara Holanda de Moura, Rodrigo de Melo Souza Veras, Kelson Rômulo Teixeira Aires, Vinícius P. Machado, Romuere R. V. e Silva, Flávio H. D. Araújo, Maíla de Lima Claro

Multim. Tools Appl., 2019

An hybrid feature space from texture information and transfer learning for glaucoma classification.

Maíla de Lima Claro, Rodrigo Veras, André M. Santana, Flávio H. D. Araújo, Romuere R. V. e Silva, João Almeida, Daniel Leite

J. Vis. Commun. Image Represent., 2019

Recent computational methods for white blood cell nuclei segmentation: A comparative study.

Alan R. Andrade, Luis H. S. Vogado, Rodrigo de Melo Souza Veras, Romuere R. V. e Silva, Flávio H. D. Araújo, Fátima N. S. de Medeiros

Comput. Methods Programs Biomed., 2019

2018

Diagnóstico de Glaucoma Utilizando Atributos de Textura e CNN's Pré-treinadas.

Maíla de Lima Claro, Rodrigo de Melo Souza Veras, André Macedo Santana, Luis Henrique Silva Vogado, Leonardo Pereira Sousa

RITA, 2018

Detection of helmets on motorcyclists.

Romuere R. V. e Silva, Kelson Rômulo Teixeira Aires, Rodrigo de Melo Souza Veras

Multim. Tools Appl., 2018

Leukemia diagnosis in blood slides using transfer learning in CNNs and SVM for classification.

Luis H. S. Vogado, Rodrigo M. S. Veras, Flávio H. D. Araújo, Romuere Rôdrigues Veloso e Silva, Kelson Rômulo Teixeira Aires

Eng. Appl. Artif. Intell., 2018

A Semiautomatic Superpixel Based Approach to Cup-to-Disc Ratio Measurement.

Elineide Santos, Luís Santos, Rodrigo Veras, Marcos Frazão, Daniel Leite

Proceedings of the 2018 IEEE Symposium on Computers and Communications, 2018

Combining ABCD Rule, Texture Features and Transfer Learning in Automatic Diagnosis of Melanoma.

Nayara Holanda de Moura, Rodrigo M. S. Veras, Kelson Rômulo Teixeira Aires, Vinícius P. Machado, Romuere R. V. e Silva, Flávio H. D. Araújo, Maíla de Lima Claro

Proceedings of the 2018 IEEE Symposium on Computers and Communications, 2018

Medical Image Segmentation Using Seeded Fuzzy C-means: A Semi-supervised Clustering Algorithm.

Luís Santos, Rodrigo M. S. Veras, Kelson Rômulo Teixeira Aires, Laurindo Britto, Vinícius P. Machado

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Automatic Cluster Labeling Based on Phylogram Analysis.

Francisco N. C. de Araujo, Vinícius P. Machado, Antonio H. M. Soares, Rodrigo de Melo Souza Veras

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017

An unsupervised coarse-to-fine algorithm for blood vessel segmentation in fundus images.

Luiz Câmara Neto, Geraldo L. B. Ramalho, Jeová F. S. Rocha Neto, Rodrigo M. S. Veras, Fátima N. S. de Medeiros

Expert Syst. Appl., 2017

A seeded fuzzy C-means based approach to automatic cup-to-disc ratio measurement.

Luís Santos, Rodrigo M. S. Veras, Ricardo A. L. Rabêlo, Kelson Rômulo Teixeira Aires, Olivan Aires

Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Diagnosing Leukemia in Blood Smear Images Using an Ensemble of Classifiers and Pre-Trained Convolutional Neural Networks.

Luis Henrique Silva Vogado, Rodrigo de Melo Souza Veras, Alan Ribeiro Andrade, Flávio Henrique Duarte de Araújo, Romuere Rôdrigues Veloso e Silva, Kelson Rômulo Teixeira Aires

Proceedings of the 30th SIBGRAPI Conference on Graphics, Patterns and Images, 2017

2016

Unsupervised Leukemia Cells Segmentation Based on Multi-space Color Channels.

Luis H. S. Vogado, Rodrigo de Melo Souza Veras, Alan R. Andrade, Romuere R. V. e Silva, Flávio H. D. Araújo, Fátima N. S. de Medeiros

Proceedings of the IEEE International Symposium on Multimedia, 2016

2015

SURF Descriptor and Pattern Recognition Techniques in Automatic Identification of Pathological Retinas.

Rodrigo M. S. Veras, Romuere R. V. e Silva, Flávio H. D. Araújo, Fátima N. S. de Medeiros

Proceedings of the 2015 Brazilian Conference on Intelligent Systems, 2015

2014

Automatic Detection of Fovea in Retinal Images Using Fusion of Color Bands.

Rodrigo de Melo Souza Veras, Fátima Nelsizeuma Sombra de Medeiros, Romuere Rôdrigues Veloso e Silva, Kelson Rômulo Teixeira Aires

Proceedings of the 27th SIBGRAPI Conference on Graphics, Patterns and Images, 2014

Helmet Detection on Motorcyclists Using Image Descriptors and Classifiers.

Romuere Rôdrigues Veloso e Silva, Kelson Rômulo Teixeira Aires, Rodrigo de Melo Souza Veras

Proceedings of the 27th SIBGRAPI Conference on Graphics, Patterns and Images, 2014

2013

Um Algoritmo Genético para Seleção de Portfólio de Investimentos com Restrições de Cardinalidade e Lotes-Padrão.

Renan Fortes Tourinho, Antonio Costa de Oliveira, Rodrigo de Melo Souza Veras

Proceedings of the 9th Brazilian Symposium on Information Systems, 2013

Um Algoritmo Genético Paralelo Aplicado ao Problema de Cobertura de Conjuntos.

Francisco Jhonatas da Silva, Antonio de Oliveira, Rodrigo Veras

Proceedings of the 9th Brazilian Symposium on Information Systems, 2013

Assessing the accuracy of macula detection methods in retinal images.

Rodrigo M. S. Veras, Fátima N. S. de Medeiros, Romuere R. V. e Silva, Daniela Ushizima

Proceedings of the 18th International Conference on Digital Signal Processing, 2013

Automatic detection of motorcyclists without helmet.

Romuere R. V. e Silva, Kelson Rômulo Teixeira Aires, Thiago S. Santos, Kalyf Abdala, Rodrigo M. S. Veras, André Soares

Proceedings of the 2013 XXXIX Latin American Computing Conference (CLEI), 2013

2012

E-PL: Um Objeto de Aprendizagem para o Ensino de Programação Linear.

Rodrigo Veras, Leonardo de Sousa, Marcos Frazão, Iális de Paula Jr, Vinícius Machado

Proceedings of the 8th Brazilian Symposium on Information Systems, 2012

Study and implementation of descriptors and classifiers for automatic detection of motorcycle on public roads.

Romuere R. V. e Silva, Kelson Rômulo Teixeira Aires, Rodrigo M. S. Veras, Thiago S. Santos, Kalyf A. B. Lima, André Castelo Branco Soares

Proceedings of the 2012 XXXVIII Conferencia Latinoamericana En Informatica (CLEI), 2012

2011

An Approach for 2D Visual Occupancy Grid Map Using Monocular Vision.

André M. Santana, Kelson Rômulo Teixeira Aires, Rodrigo M. S. Veras, Adelardo A. D. Medeiros

Proceedings of the XXXVII Latin American Computer Conference - Selected Papers, 2011

2009

Evaluation of retinal vessel segmentation methods for microaneurysms detection.

Charles Iury Oliveira Martins, Fátima Nelsizeuma Sombra de Medeiros, Rodrigo M. S. Veras, Francisco Nivando Bezerra, Roberto Marcondes Cesar Junior

Proceedings of the International Conference on Image Processing, 2009

2007

Handling Exceptions in nonmonotonic reasoning.

Marcelino C. Pequeno, Rodrigo de Melo Souza Veras, Wladimir A. Tavares

Proceedings of the Latin-American Workshop on Non-Monotonic Reasoning, Proceedings of the LA-NMR07 Workshop, Benemérita Universidad Autónoma de Puebla, Puebla, Pue., México, 17th, 2007