Rodrigo M. S. Veras

Orcid: 0000-0001-8180-4032

According to our database1, Rodrigo M. S. Veras authored at least 64 papers between 2007 and 2024.

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Bibliography

2024
Glomerulosclerosis detection with pre-trained CNNs ensemble.
Comput. Stat., April, 2024

A corneal ulcer segmentation approach using U-Net and stepwise fine-tuning.
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.
Multim. Tools Appl., November, 2023

Automatic detection of Visceral Leishmaniasis in humans using Deep Learning.
Signal Image Video Process., October, 2023

Brazilian Symposium on computing applied to Healthcare (SBCAS).
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.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., May, 2023

Funeral at Nine.
Proceedings of the SIGGRAPH Asia 2023 Computer Animation Festival, 2023

Classification of Facial Images Using Deep Learning Models to Support ASD Identification.
Proceedings of the XLIX Latin American Computer Conference, 2023

2022
An automated CNN architecture search for glaucoma diagnosis based on NEAT.
Multim. Tools Appl., 2022

Semi-automatic segmentation of skin lesions based on superpixels and hybrid texture information.
Medical Image Anal., 2022

Assessing the impact of data augmentation and a combination of CNNs on leukemia classification.
Inf. Sci., 2022

A ensemble methodology for automatic classification of chest X-rays using deep learning.
Comput. Biol. Medicine, 2022

Public Administration Suppliers Classification Model Based on Supervised Machine Learning.
Proceedings of the SBSI: XVIII Brazilian Symposium on Information Systems, Curitiba, Brazil, May 16, 2022

A hybrid descriptor to improve kidney pathologies classification.
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.
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.
Proceedings of the 29th International Conference on Systems, Signals and Image Processing, 2022

Using Clinical Data and Deep Features in Renal Pathologies Classification.
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.
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.
Proceedings of the 35th IEEE International Symposium on Computer-Based Medical Systems, 2022

Glomerulosclerosis Identification Using a Modified Dense Convolutional Network.
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.
Sensors, 2021

Automatic ocular version evaluation in images using random forest.
Expert Syst. Appl., 2021

A hybrid of deep and textural features to differentiate glomerulosclerosis and minimal change disease from glomerulus biopsy images.
Biomed. Signal Process. Control., 2021

Detection of COVID-19 in chest X-ray images using transfer learning with deep convolutional neural network.
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.
Proceedings of the Progress in Artificial Intelligence, 2021


Melanoma Classification Approach with Deep Learning-Based Feature Extraction Models.
Proceedings of the XLVII Latin American Computing Conference, 2021

A Coarse to Fine Corneal Ulcer Segmentation Approach Using U-net and DexiNed in Chain.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2021

2020
Group Labeling Methodology Using Distance-based Data Grouping Algorithms.
RITA, 2020

A semiautomatic segmentation approach to corneal lesions.
Comput. Electr. Eng., 2020

Data Augmentation for Face Recognition with CNN Transfer Learning.
Proceedings of the 2020 International Conference on Systems, Signals and Image Processing, 2020

Banknote Identification Methodology for Visually Impaired People.
Proceedings of the 2020 International Conference on Systems, Signals and Image Processing, 2020

A Skin Lesion Semi-supervised Segmentation Method.
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.
Proceedings of the 2020 International Conference on Systems, Signals and Image Processing, 2020

Multilevel CNN for Angle Closure Glaucoma Detection using AS-OCT Images.
Proceedings of the 2020 International Conference on Systems, Signals and Image Processing, 2020

Convolution Neural Network Models for Acute Leukemia Diagnosis.
Proceedings of the 2020 International Conference on Systems, Signals and Image Processing, 2020

P-FideNet: Plasmodium Falciparum Identification Neural Network.
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.
Proceedings of the IEEE Symposium on Computers and Communications, 2020

2019
ABCD rule and pre-trained CNNs for melanoma diagnosis.
Multim. Tools Appl., 2019

An hybrid feature space from texture information and transfer learning for glaucoma classification.
J. Vis. Commun. Image Represent., 2019

Recent computational methods for white blood cell nuclei segmentation: A comparative study.
Comput. Methods Programs Biomed., 2019

2018
Diagnóstico de Glaucoma Utilizando Atributos de Textura e CNN's Pré-treinadas.
RITA, 2018

Detection of helmets on motorcyclists.
Multim. Tools Appl., 2018

Leukemia diagnosis in blood slides using transfer learning in CNNs and SVM for classification.
Eng. Appl. Artif. Intell., 2018

A Semiautomatic Superpixel Based Approach to Cup-to-Disc Ratio Measurement.
Proceedings of the 2018 IEEE Symposium on Computers and Communications, 2018

Combining ABCD Rule, Texture Features and Transfer Learning in Automatic Diagnosis of Melanoma.
Proceedings of the 2018 IEEE Symposium on Computers and Communications, 2018

Medical Image Segmentation Using Seeded Fuzzy C-means: A Semi-supervised Clustering Algorithm.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Automatic Cluster Labeling Based on Phylogram Analysis.
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.
Expert Syst. Appl., 2017

A seeded fuzzy C-means based approach to automatic cup-to-disc ratio measurement.
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.
Proceedings of the 30th SIBGRAPI Conference on Graphics, Patterns and Images, 2017

2016
Unsupervised Leukemia Cells Segmentation Based on Multi-space Color Channels.
Proceedings of the IEEE International Symposium on Multimedia, 2016

2015
SURF Descriptor and Pattern Recognition Techniques in Automatic Identification of Pathological Retinas.
Proceedings of the 2015 Brazilian Conference on Intelligent Systems, 2015

2014
Automatic Detection of Fovea in Retinal Images Using Fusion of Color Bands.
Proceedings of the 27th SIBGRAPI Conference on Graphics, Patterns and Images, 2014

Helmet Detection on Motorcyclists Using Image Descriptors and Classifiers.
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.
Proceedings of the 9th Brazilian Symposium on Information Systems, 2013

Um Algoritmo Genético Paralelo Aplicado ao Problema de Cobertura de Conjuntos.
Proceedings of the 9th Brazilian Symposium on Information Systems, 2013

Assessing the accuracy of macula detection methods in retinal images.
Proceedings of the 18th International Conference on Digital Signal Processing, 2013

Automatic detection of motorcyclists without helmet.
Proceedings of the 2013 XXXIX Latin American Computing Conference (CLEI), 2013

2012
E-PL: Um Objeto de Aprendizagem para o Ensino de Programação Linear.
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.
Proceedings of the 2012 XXXVIII Conferencia Latinoamericana En Informatica (CLEI), 2012

2011
An Approach for 2D Visual Occupancy Grid Map Using Monocular Vision.
Proceedings of the XXXVII Latin American Computer Conference - Selected Papers, 2011

2009
Evaluation of retinal vessel segmentation methods for microaneurysms detection.
Proceedings of the International Conference on Image Processing, 2009

2007
Handling Exceptions in nonmonotonic reasoning.
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


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