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ORCIDRomuere Rôdrigues Veloso e Silva
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- affiliation: Federal University of Piauí, Department of Computer Science, Brazil
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2020 – today
- 2024
[j23]Justino Santos
, Romuere R. V. Silva, Luciano Oliveira, Washington L. C. dos-Santos, Nayze Aldeman, Angelo Amâncio Duarte, Rodrigo Veras:
Glomerulosclerosis detection with pre-trained CNNs ensemble. Comput. Stat. 39(2): 561-581 (2024)- 2023
- [j22]Pablo de Abreu Vieira, Luis H. S. Vogado, Lucas A. Lopes, Ricardo Ricardo, Pedro de A. Santos Neto, Mano Joseph Mathew, Deborah Maria Vieira Magalhães, Romuere R. V. e Silva:
Deep learning approach for disease detection in lumbosacral spine radiographs using ConvNet. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11(6): 2560-2575 (2023) - [j21]Alcilene Dalília Sousa, Pedro Henrique dos Santos Silva, Romuere Rôdrigues Veloso e Silva, Francisco Alixandre Ávila Rodrigues, Fátima Nelsizeuma Sombra de Medeiros:
CBIR-SAR System Using Stochastic Distance. Sensors 23(13): 6080 (2023) - [j20]Clésio Gonçalves, Nathália Andrade, Armando Luz Borges, Anderson Rodrigues, Rodrigo Veras, Bruno Aguiar, Romuere R. V. Silva:
Automatic detection of Visceral Leishmaniasis in humans using Deep Learning. Signal Image Video Process. 17(7): 3595-3601 (2023) - 2022
- [j19]Daniel S. Luz, Thiago José Barbosa Lima, Romuere R. V. Silva, Deborah Maria Vieira Magalhães, Flávio H. D. Araújo:
Automatic detection metastasis in breast histopathological images based on ensemble learning and color adjustment. Biomed. Signal Process. Control. 75: 103564 (2022) - [j18]Bianca Sousa Soares, Jederson Sousa Luz, Valderlândia Francisca de Macêdo, Romuere Rôdrigues Veloso e Silva, Flávio Henrique Duarte de Araújo, Deborah Maria Vieira Magalhães:
MFCC-based descriptor for bee queen presence detection. Expert Syst. Appl. 201: 117104 (2022) - [j17]Orrana Lhaynher Veloso Sousa, Deborah Maria Vieira Magalhães, Victor Eulalio Sousa Campelo, Romuere R. V. e Silva:
Um método automático para rotulagem de documentos médicos e categorização. Braz. J. Inf. Syst. 15(1) (2022) - [j16]Rafael Luz Araújo, Flávio H. D. de Araújo, Romuere R. V. e Silva:
Automatic segmentation of melanoma skin cancer using transfer learning and fine-tuning. Multim. Syst. 28(4): 1239-1250 (2022) - [c20]Orrana Lhaynher Veloso Sousa, David Pereira da Silva, Victor Eulalio Sousa Campelo, Romuere Rôdrigues Veloso e Silva, Deborah Maria Vieira Magalhães:
Ensemble of Classifiers for Multilabel Clinical Text Categorization in Portuguese. ISDA (2) 2022: 42-51 - [c19]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 - [c18]Armando Luz Borges, Clésio de Araújo Gonçalves, Viviane Barbosa Leal Dias, Emille Andrade Sousa, Carlos Henrique Nery Costa, Romuere Rôdrigues Veloso e Silva:
Visceral Leishmaniasis Detection Using Deep Learning Techniques and Multiple Color Space Bands. ISDA (3) 2022: 492-502 - 2021
- [j15]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:
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) - [j14]Edson Damasceno Carvalho, Romuere R. V. Silva, Flávio H. D. Araújo, Ricardo de A. L. Rabelo, Antônio Oséas de Carvalho Filho:
An approach to the classification of COVID-19 based on CT scans using convolutional features and genetic algorithms. Comput. Biol. Medicine 136: 104744 (2021) - [j13]Pablo Vieira, Orrana Sousa, Deborah Maria Vieira Magalhães, Ricardo de Andrade Lira Rabelo, Romuere R. V. Silva:
Detecting pulmonary diseases using deep features in X-ray images. Pattern Recognit. 119: 108081 (2021) - [j12]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:
Diagnosis of Leukaemia in Blood Slides Based on a Fine-Tuned and Highly Generalisable Deep Learning Model. Sensors 21(9): 2989 (2021) - [c17]Edson Damasceno Carvalho, Romuere Rôdrigues Veloso e Silva, Mano Joseph Mathew, Flávio Henrique Duarte de Araújo, Antonio Oseas de Carvalho Filho:
Tumor Segmentation in Breast DCE- MRI Slice Using Deep Learning Methods. ISCC 2021: 1-6 - 2020
- [j11]Edson Damasceno Carvalho, Antonio Oseas de Carvalho Filho, Romuere R. V. e Silva, Flávio H. D. Araújo, João Otávio Bandeira Diniz, Aristófanes C. Silva, Anselmo Cardoso de Paiva, Marcelo Gattass:
Breast cancer diagnosis from histopathological images using textural features and CBIR. Artif. Intell. Medicine 105: 101845 (2020) - [j10]William Torres, Antônio Oséas de Carvalho Filho, Ricardo de Andrade Lira Rabelo, Romuere Rôdrigues Veloso e Silva:
Texture analysis of lung nodules in computerized tomography images using functional diversity. Comput. Electr. Eng. 84: 106618 (2020) - [c16]Rafael Luz Araújo, Ricardo de Andrade Lira Rabelo, Joel J. P. C. Rodrigues, Romuere R. V. e Silva:
Automatic Segmentation of Melanoma Skin Cancer Using Deep Learning. HealthCom 2020: 1-6 - [c15]Helio R. V. de Couto Junior, Flávio H. D. Araújo, Ricardo de Andrade Lira Rabelo, Joel J. P. C. Rodrigues, Romuere R. V. e Silva:
Texture Maps as Input in 3D CNNs Applied to Classify Nodules in CT Images. HealthCom 2020: 1-6 - [c14]Patrick Ryan Sales dos Santos, Lucas B. M. de Souza, Samuel P. B. D. Lélis, Hector B. Ribeiro, Fábbio Anderson Silva Borges, Romuere R. V. Silva, Antonio Oseas Carvalho Filho, Flávio H. D. Araújo, Ricardo de Andrade Lira Rabelo, Joel J. P. C. Rodrigues:
Prediction of COVID-19 using Time-Sliding Window: The case of Piauí State - Brazil. HealthCom 2020: 1-6 - [c13]Rafael L. Araújo, Daniela M. Ushizima, Romuere R. V. Silva:
Fusion of Color Bands Using Genetic Algorithm to Segment Melanoma. ISBI Workshops 2020: 1-4 - [c12]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:
Banknote Identification Methodology for Visually Impaired People. IWSSIP 2020: 261-266
2010 – 2019
- 2019
- [j9]Flávio H. D. Araújo, Romuere Rôdrigues Veloso e Silva, Daniela Mayumi Ushizima, Mariana T. Rezende, Cláudia M. Carneiro, Andrea Gomes Campos Bianchi, Fátima N. S. de Medeiros:
Deep learning for cell image segmentation and ranking. Comput. Medical Imaging Graph. 72: 13-21 (2019) - [j8]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:
Recent computational methods for white blood cell nuclei segmentation: A comparative study. Comput. Methods Programs Biomed. 173: 1-14 (2019) - [j7]Romuere R. V. e Silva, Flávio H. D. Araújo, Daniela Mayumi Ushizima, Andrea G. C. Bianchi, Cláudia M. Carneiro, Fátima N. S. de Medeiros:
Radial feature descriptors for cell classification and recommendation. J. Vis. Commun. Image Represent. 62: 105-116 (2019) - [j6]Maíla de Lima Claro, Rodrigo Veras, André M. Santana, Flávio H. D. Araújo, Romuere R. V. e Silva, João Almeida, Daniel Leite:
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, Kelson Rômulo Teixeira Aires, Vinícius P. Machado, Romuere R. V. e Silva, Flávio H. D. Araújo, Maíla de Lima Claro:
ABCD rule and pre-trained CNNs for melanoma diagnosis. Multim. Tools Appl. 78(6): 6869-6888 (2019) - [j4]Allan C. Carneiro, José G. F. Lopes, Marcelo M. S. Souza, Jeová F. S. Rocha Neto, Flávio H. D. Araújo, Romuere R. V. e Silva, Fátima N. S. de Medeiros, Francisco Nivando Bezerra:
Parameter optimization of a multiscale descriptor for shape analysis on healthcare image datasets. Pattern Recognit. Lett. 125: 694-700 (2019) - 2018
- [j3]Luis H. S. Vogado, Rodrigo M. S. Veras, Flávio H. D. Araújo, Romuere Rôdrigues Veloso e Silva, Kelson Rômulo Teixeira Aires:
Leukemia diagnosis in blood slides using transfer learning in CNNs and SVM for classification. Eng. Appl. Artif. Intell. 72: 415-422 (2018) - [j2]Flávio H. D. Araújo, Romuere Rôdrigues Veloso e Silva, Fátima N. S. de Medeiros, Dilworth Parkinson, Alexander Hexemer, Cláudia M. Carneiro, Daniela Mayumi Ushizima Sabino:
Reverse image search for scientific data within and beyond the visible spectrum. Expert Syst. Appl. 109: 35-48 (2018) - [j1]Romuere R. V. e Silva, Kelson Rômulo Teixeira Aires, Rodrigo de Melo Souza Veras:
Detection of helmets on motorcyclists. Multim. Tools Appl. 77(5): 5659-5683 (2018) - [c11]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:
Combining ABCD Rule, Texture Features and Transfer Learning in Automatic Diagnosis of Melanoma. ISCC 2018: 508-513 - 2017
- [c10]Paulo H. C. Oliveira, Gladston Moreira, Daniela Mayumi Ushizima, Cláudia M. Carneiro, Fátima N. S. de Medeiros, Flávio Henrique Duarte de Araújo, Romuere R. V. e Silva, Andrea G. C. Bianchi:
A multi-objective approach for calibration and detection of cervical cells nuclei. CEC 2017: 2321-2327 - [c9]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:
Diagnosing Leukemia in Blood Smear Images Using an Ensemble of Classifiers and Pre-Trained Convolutional Neural Networks. SIBGRAPI 2017: 367-373 - 2016
- [c8]Daniela Ushizima, Chao Yang, Singanallur V. Venkatakrishnan, Flávio H. D. Araújo, Romuere Rôdrigues Veloso e Silva, Haoran Tang, Joao Vitor Mascarenhas, Alexander Hexemer, Dilworth Parkinson, James A. Sethian:
Convolutional neural networks at the interface of physical and digital data. AIPR 2016: 1-12 - [c7]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:
Unsupervised Leukemia Cells Segmentation Based on Multi-space Color Channels. ISM 2016: 451-456 - 2015
- [c6]Rodrigo M. S. Veras, Romuere R. V. e Silva, Flávio H. D. Araújo, Fátima N. S. de Medeiros:
SURF Descriptor and Pattern Recognition Techniques in Automatic Identification of Pathological Retinas. BRACIS 2015: 316-321 - 2014
- [c5]Rodrigo de Melo Souza Veras, Fátima Nelsizeuma Sombra de Medeiros, Romuere Rôdrigues Veloso e Silva, Kelson Rômulo Teixeira Aires:
Automatic Detection of Fovea in Retinal Images Using Fusion of Color Bands. SIBGRAPI 2014: 119-124 - [c4]Romuere Rôdrigues Veloso e Silva, Kelson Rômulo Teixeira Aires, Rodrigo de Melo Souza Veras:
Helmet Detection on Motorcyclists Using Image Descriptors and Classifiers. SIBGRAPI 2014: 141-148 - 2013
- [c3]Romuere R. V. e Silva, Kelson Rômulo Teixeira Aires, Thiago S. Santos, Kalyf Abdala, Rodrigo M. S. Veras, André Soares:
Automatic detection of motorcyclists without helmet. CLEI 2013: 1-7 - [c2]Rodrigo M. S. Veras, Fátima N. S. de Medeiros, Romuere R. V. e Silva, Daniela Ushizima:
Assessing the accuracy of macula detection methods in retinal images. DSP 2013: 1-6 - 2012
- [c1]Romuere R. V. e Silva, Kelson Rômulo Teixeira Aires, Rodrigo M. S. Veras, Thiago S. Santos, Kalyf A. B. Lima, André Castelo Branco Soares:
Study and implementation of descriptors and classifiers for automatic detection of motorcycle on public roads. CLEI 2012: 1-10
Coauthor Index
aka: Flávio Henrique Duarte de Araújo
aka: Antônio Oséas de Carvalho Filho
aka: Antonio Oseas Carvalho Filho
aka: Fátima Nelsizeuma Sombra de Medeiros
aka: Ricardo de A. L. Rabelo
aka: Daniela M. Ushizima
aka: Daniela Mayumi Ushizima Sabino
aka: Daniela Mayumi Ushizima
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