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Romuere 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
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 de A. L. Rabelo
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
CBIR-SAR System Using Stochastic Distance. Sensors 23(13): 6080 (2023) - [j20]Clésio Gonçalves
Automatic detection of Visceral Leishmaniasis in humans using Deep Learning. Signal Image Video Process. 17(7): 3595-3601 (2023) - 2022
- [j19]Daniel S. Luz
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
MFCC-based descriptor for bee queen presence detection. Expert Syst. Appl. 201: 117104 (2022) - [j17]Orrana Lhaynher Veloso Sousa
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
Visceral Leishmaniasis Detection Using Deep Learning Techniques and Multiple Color Space Bands. ISDA (3) 2022: 492-502 - 2021
- [j15]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) - [j14]Edson Damasceno Carvalho
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
Detecting pulmonary diseases using deep features in X-ray images. Pattern Recognit. 119: 108081 (2021) - [j12]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) - [c17]Edson Damasceno Carvalho, Romuere Rôdrigues Veloso e Silva, Mano Joseph Mathew
Tumor Segmentation in Breast DCE- MRI Slice Using Deep Learning Methods. ISCC 2021: 1-6 - 2020
- [j11]Edson Damasceno Carvalho
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
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
Banknote Identification Methodology for Visually Impaired People. IWSSIP 2020: 261-266
2010 – 2019
- 2019
- [j9]Flávio H. D. Araújo, Romuere Rôdrigues Veloso e Silva
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
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
Radial feature descriptors for cell classification and recommendation. J. Vis. Commun. Image Represent. 62: 105-116 (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) - [j4]Allan C. Carneiro
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
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
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
Detection of helmets on motorcyclists. Multim. Tools Appl. 77(5): 5659-5683 (2018) - [c11]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 - 2017
- [c10]Paulo H. C. Oliveira, Gladston Moreira
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
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
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
Unsupervised Leukemia Cells Segmentation Based on Multi-space Color Channels. ISM 2016: 451-456 - 2015
- [c6]Rodrigo M. S. Veras
SURF Descriptor and Pattern Recognition Techniques in Automatic Identification of Pathological Retinas. BRACIS 2015: 316-321 - 2014
- [c5]Rodrigo de Melo Souza Veras
Automatic Detection of Fovea in Retinal Images Using Fusion of Color Bands. SIBGRAPI 2014: 119-124 - [c4]Romuere Rôdrigues Veloso e Silva
Helmet Detection on Motorcyclists Using Image Descriptors and Classifiers. SIBGRAPI 2014: 141-148 - 2013
- [c3]Romuere R. V. e Silva
Automatic detection of motorcyclists without helmet. CLEI 2013: 1-7 - [c2]Rodrigo M. S. Veras
Assessing the accuracy of macula detection methods in retinal images. DSP 2013: 1-6 - 2012
- [c1]Romuere R. V. e Silva
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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