Handling Exceptions in nonmonotonic reasoning. - Marcelino C. Pequeno; Rodrigo de Melo Souza Veras; Wladimir A. Tavares (LA-NMR, 2007)

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 (ICIP, 2009)

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 (CLEI Selected Papers, 2011)

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 (CLEI, 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 001 (SBSI, 2012)

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 001 (CLEI, 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 (DSP, 2013)

Um Algoritmo Genético Paralelo Aplicado ao Problema de Cobertura de Conjuntos. - Francisco Jhonatas da Silva; Antonio de Oliveira; Rodrigo Veras (SBSI, 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 (SBSI, 2013)

Helmet Detection on Motorcyclists Using Image Descriptors and Classifiers. - Romuere Rôdrigues Veloso e Silva; Kelson Rômulo Teixeira Aires; Rodrigo de Melo Souza Veras (SIBGRAPI, 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 (SIBGRAPI, 2014)

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 (BRACIS, 2015)

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 (ISM, 2016)

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 (SIBGRAPI, 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 (SMC, 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)

Automatic Cluster Labeling Based on Phylogram Analysis. - Francisco N. C. de Araujo; Vinícius P. Machado; Antonio H. M. Soares; Rodrigo de Melo Souza Veras (IJCNN, 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 (IJCNN, 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 (ISCC, 2018)

A Semiautomatic Superpixel Based Approach to Cup-to-Disc Ratio Measurement. - Elineide Silva Dos Santos; Luís Santos; Rodrigo Veras; Marcos Frazão; Daniel Leite (ISCC, 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)

Detection of helmets on motorcyclists. - Romuere R. V. e Silva; Kelson Rômulo Teixeira Aires; Rodrigo de Melo Souza Veras (Multim. Tools Appl., 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 de Sousa (RITA, 2018)

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)

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 003; Daniel Leite (J. Vis. Commun. Image Represent., 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)

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 (ISCC, 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 (ISVC (1), 2020)

Convolution Neural Network Models for Acute Leukemia Diagnosis. - Maíla de Lima Claro; Luis H. S. Vogado; Rodrigo Veras; André Macedo Santana; João Tavares 001; Justino Santos; Vinícius P. Machado (IWSSIP, 2020)

Multilevel CNN for Angle Closure Glaucoma Detection using AS-OCT Images. - Marcos Melo Ferreira; Giovanna Pavani Esteve; Geraldo Braz Júnior; João Dallyson Sousa de Almeida; Anselmo Cardoso de Paiva; Rodrigo Veras (IWSSIP, 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 (IWSSIP, 2020)

A Skin Lesion Semi-supervised Segmentation Method. - Elineide Silva Dos Santos; Rodrigo Veras; Helano Miguel; Kelson Rômulo Teixeira Aires; Maíla de Lima Claro; Geraldo Braz Júnior (IWSSIP, 2020)

Banknote Identification Methodology for Visually Impaired People. - Leonardo Pereira de 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 (IWSSIP, 2020)

Data Augmentation for Face Recognition with CNN Transfer Learning. - Valeska Uchôa; Kelson Rômulo Teixeira Aires; Rodrigo Veras; Anselmo Cardoso de Paiva; Laurindo Britto (IWSSIP, 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)

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 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 (CIARP, 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 de Sousa; Rodrigo de Melo Souza Veras; Laurindo de S. B. Neto; Antônio L. de M. Neto (CLEI, 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 (CLEI, 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 (EPIA, 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 (SAC, 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)

Automatic ocular version evaluation in images using random forest. - Jullyana Fialho Pinheiro; João Dallyson Sousa de Almeida; Jorge Antonio Meireles Teixeira; Geraldo Braz Júnior; Anselmo Cardoso de Paiva; Aristófanes Corrêa Silva; Rodrigo de Melo Souza Veras (Expert Syst. Appl., 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)

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 (BRACIS (1), 2022)

Diabetic Foot Ulcers Classification using a fine-tuned CNNs Ensemble. - Elineide Silva Dos Santos; Francisco Santos; João Dallyson Sousa de Almeida; Kelson Rômulo Teixeira Aires; João Manuel R. S. Tavares; Rodrigo Veras (CBMS, 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 (ISDA (4), 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 (ISDA (2), 2022)

DFU-VGG, a Novel and Improved VGG-19 Network for Diabetic Foot Ulcer Classification. - Francisco Santos; Elineide Silva Dos Santos; Luis Henrique Silva Vogado; Márcia Ito; Andrea Bianchi; João Manuel R. S. Tavares; Rodrigo Veras (IWSSIP, 2022)

CAIBAL: cluster-attribute interdependency based automatic labeler. - Marcel Moura; Rodrigo Veras; Vinícius P. Machado (SAC, 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 (SAC, 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 (SBSI, 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 003; João Manuel R. S. Tavares; Rodrigo Veras (Comput. Biol. Medicine, 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 Júnior; Fátima N. S. de Medeiros; João Manuel R. S. Tavares (Inf. Sci., 2022)

Semi-automatic segmentation of skin lesions based on superpixels and hybrid texture information. - Elineide Silva Dos Santos; Rodrigo de Melo Souza Veras; Kelson Rômulo Teixeira Aires; Helano Miguel B. F. Portela; Geraldo Braz Júnior; Justino Santos; João Manuel R. S. Tavares (Medical Image Anal., 2022)

An automated CNN architecture search for glaucoma diagnosis based on NEAT. - Alan Carlos de Moura Lima; Geraldo Braz Júnior; João Dallyson Sousa de Almeida; Anselmo Cardoso de Paiva; Rodrigo M. S. Veras (Multim. Tools Appl., 2022)

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 (CLEI, 2023)

Funeral at Nine. - Mamadou Barry; Rodrigo Veras; Ziyu Wang; Junhao Xiang; Wang Yu; Lifeng Zhou (SIGGRAPH Asia Computer Animation Festival, 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 001; Rodrigo Veras (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2023)

Brazilian Symposium on computing applied to Healthcare (SBCAS). - Rodrigo de Melo Souza Veras (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 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., 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., 2023)

Automated Segmentation of Computed Tomography Images for COVID-19 Patient Evaluation. - Júlio Vitor Monteiro Marques; Clésio de Araújo Gonçalves; Antonio Oseas de Carvalho Filho; Rodrigo de Melo Souza Veras; Romuere Rôdrigues Veloso e Silva (BRACIS (3), 2024)

Ensemble of CNNs for Enhanced Leukocyte Classification in Acute Myeloid Leukemia Diagnosis. - Leonardo P. Sousa; Romuere R. V. Silva; Maíla L. Claro; Flávio H. D. Araújo; Rodrigo N. Borges; Vinícius P. Machado; Rodrigo M. S. Veras (BRACIS (1), 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., 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., 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., 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, 2024)

Identification of Parkinson's Disease Through Facial Image Classification: A Systematic Review. - José Nazareno Alves Rodrigues; Rodrigo de Melo Souza Veras; Laurindo S. Britto Neto; Pedro Henrique Ximenes Ramalho Barros; Wilana Da Silva Moura; Kelson James Silva De Almeida; Kelson Rômulo Teixeira Aires (IEEE Access, 2025)

Enhancing Diabetic Foot Ulcer Classification Through Fine-Tuned Multilevel CNN. - Elineide Silva Dos Santos; Rodrigo de Melo Souza Veras; Francisco Das Chagas Torres Dos Santos; Márcia Ito; Andrea Gomes Campos Bianchi; Kelson Rômulo Teixeira Aires; João Manuel R. S. Tavares (IEEE Access, 2025)

Enhanced Pollen Classification via Hybrid Neural Network With Attention Mechanism and View Separation: An Equatorial and Polar Approach. - Júlio César da Silva Soares; Kelson Rômulo Teixeira Aires; Juliana do Nascimento Bendini; Wesley Vitor Barbosa Brandão; Rodrigo de Melo Souza Veras (IEEE Access, 2025)