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ORCIDPedro Pedrosa Rebouças Filho
Pedro P. R. Filho
Person information
- affiliation: Instituto Federal de Educação, Ciencia e Tecnologia do Ceará, Limoeiro do Norte, Brazil
- affiliation (former): Federal University of Ceará, Fortaleza, Brazil
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2020 – today
- 2025
[j60]Navar Medeiros M. e Nascimento
, Pedro Cavalcante de Sousa Junior, Pedro Yuri Rodrigues Nunes, Suane Pires Pinheiro da Silva, Luiz Lannes Loureiro, Victor Zaban Bittencourt, Valden Luis Matos Capistrano, Pedro Pedrosa Rebouças Filho:
New advances in body composition assessment with ShapedNet: A single image deep regression approach. Pattern Recognit. Lett. 188: 88-94 (2025)- 2024
- [c60]Caio Marques Silva, Marcelo Colares da Silva, Suane Pires Pinheiro da Silva, Pedro Pedrosa Rebouças Filho, Navar Medeiros M. Nascimento:
Computer Vision for Brain Tumor Classification: A Novel Approach Based on Zernike Moments. CBMS 2024: 94-99 - [c59]Marcelo Colares da Silva, Caio Marques Silva, Alexis Galeno Matos, Suane Pires Pinheiro da Silva, Róger Moura Sarmento, Pedro Pedrosa Rebouças Filho, Navar Medeiros M. Nascimento, Rhuan Victor Crescencio Santiago, Cilis Aragao Benevides, Caio Cesar Henrique Cunha:
A New Diabetic Retinopathy Classification Approach Based on Normalizer Free Network. CBMS 2024: 164-169 - [c58]Joel Ramos Michaliszen, João Carlos N. Fernandes, Calleo Belo Barroso, Leandro Bezerra Marinho, Suane Pires Pinheiro da Silva, Pedro Pedrosa Rebouças Filho, Navar Medeiros M. Nascimento:
A Novel Segmentation Approach Utilizing Object Detection Techniques as Prompts for a Zero-Shot System in Hemorrhagic Stroke Segmentation in CT Images. CBMS 2024: 278-283 - [c57]Gabriel Maia Bezerra, Elene F. Ohata, Luiz Lannes Loureiro, Victor Zaban Bittencourt, Valden Luis Matos Capistrano, Atslands R. da Rocha, Pedro Pedrosa Rebouças Filho:
Estimation of Bone Mineral Density using Machine Learning and SHapley Additive exPlanations. CBMS 2024: 424-429 - [c56]Lucas de Oliveira Santos, Iágson Carlos L. Silva, Matheus A. dos Santos, Aldísio Gonçalves Medeiros, Pedro Pedrosa Rebouças Filho:
Efficient Classification of Depression using EEG through Spectral Graph Analysis. CBMS 2024: 537-542 - [c55]Raiane Rocha Reis, Suane Pires P. da Silva, Elene Firmeza Ohata, Thiago F. Portela, Glendo de Freitas Guimarães, Aderaldo Irineu Levartoski de Araujo, Pedro Pedrosa Rebouças Filho, Paulo A. L. Rego:
A New Approach for Eye Diagram Analysis Using Deep Transfer Learning for Identification and Intensity Classification of Rainfall Effect on Signals Transmitted via Free-Space Optical Communication. IJCNN 2024: 1-8 - [c54]Lucas de O. Santos, Aldísio Gonçalves Medeiros, Paulo A. L. Rego, Pedro Pedrosa Rebouças Filho:
Graph-Based EEG Analysis for Parkinson's Disease Classification: A Residual Neural Network Approach. IJCNN 2024: 1-8 - [c53]João Wellington M. Souza, Elene F. Ohata, Navar Medeiros M. Nascimento, Shara S. A. Alves, Luiz Lannes Loureiro, Victor Zaban Bittencourt, Valden Luis Matos Capistrano, Atslands R. da Rocha, Pedro Pedrosa Rebouças Filho:
Estimating anthropometric measurements through 2D images using machine learning with gender-based analysis. IJCNN 2024: 1-8 - 2023
- [c52]Aldísio Gonçalves Medeiros, Francisco H. S. Silva, Lucas de O. Santos, Pedro Pedrosa Rebouças Filho:
Bi-Dimensional Approach Based on Graph Neural Network for Alcoholism Predisposition Detection via EEG signals. IJCNN 2023: 1-8 - [c51]José Jerovane da Costa Nascimento, Adriell Gomes Marques, Matheus Araujo dos Santos, Lucas de O. Santos, Julio Macedo Chaves, Luís Fabrício de F. Souza, Pedro Pedrosa Rebouças Filho:
New Health of Things Approach to Classification and Detection of Brain Tumors Using Transfer Learning for Segmentation in IMR Images. IJCNN 2023: 1-8 - [c50]Luís Fabrício de F. Souza, Joel R. Michaliszen Junior, Adriell Gomes Marques, Yasmin Osório Adelino Rodrigues, Guilherme Freire Brilhante Severiano, José Jerovane da Costa Nascimento, Pedro Pedrosa Rebouças Filho:
Divisible Cell-Segmentation: A New Approach for Stroke Detection and Segmentation in CT Scans Using Deep Learning and Fine-tuning. IJCNN 2023: 1-9 - [i1]Navar Medeiros M. Nascimento, Pedro Cavalcante de Sousa Junior, Pedro Yuri Rodrigues Nunes, Suane Pires Pinheiro da Silva, Luiz Lannes Loureiro, Victor Zaban Bittencourt, Valden Luis Matos Capistrano Junior, Pedro Pedrosa Rebouças Filho:
New Advances in Body Composition Assessment with ShapedNet: A Single Image Deep Regression Approach. CoRR abs/2310.09709 (2023) - 2022
- [j59]Yongzhao Xu, Matheus A. dos Santos, Luís Fabrício de F. Souza, Adriell Gomes Marques, Lijuan Zhang, José Jerovane da Costa Nascimento, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho:
New fully automatic approach for tissue identification in histopathological examinations using transfer learning. IET Image Process. 16(11): 2875-2889 (2022) - [j58]Solon Alves Peixoto, Aldísio Gonçalves Medeiros, Mohammad Mehedi Hassan, M. Ali Akber Dewan, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho:
Floor of log: a novel intelligent algorithm for 3D lung segmentation in computer tomography images. Multim. Syst. 28(4): 1151-1163 (2022) - [j57]Pedro Henrique Feijo de Sousa, Jefferson Silva Almeida, Elene Firmeza Ohata, Fabricio Gonzalez Nogueira, Bismark Claure Torrico, Victor Hugo C. de Albuquerque, Mohammad Mehedi Hassan, Neeraj Kumar, Md. Rafiul Hassan, Pedro Pedrosa Rebouças Filho:
Intelligent 3D Objects Classification for Vehicular Ad Hoc Network Based on Lidar and Deep Learning Approaches. IEEE Trans. Intell. Transp. Syst. 23(10): 19807-19816 (2022) - [c49]Gabriel Maia Bezerra, Elene Firmeza Ohata, Pedro Yuri Rodrigues Nunes, Levy dos Santos Silveira, Luiz Lannes Loureiro, Victor Zaban Bittencourt, Valden Luis Matos Capistrano, Pedro Pedrosa Rebouças Filho:
Estimating Bone Mineral Density Based on Age, Sex, and Anthropometric Measurements. BRACIS (1) 2022: 122-134 - [c48]Edson C. Neto, Darlan A. Barroso, Pedro Pedrosa Rebouças Filho, D. N. Coelho:
Novel low cost soil moisture sensor. CSIT 2022: 214-217 - [c47]Adriell Gomes Marques, Luís Fabrício de F. Souza, Matheus Araujo dos Santos, José Jerovane da Costa Nascimento, Róger Moura Sarmento, Iago Belarmino Lucena, Iágson Carlos Lima Silva, Pedro Pedrosa Rebouças Filho:
Automatic Segmentation of Hemorrhagic Stroke on Brain CT Images Using Convolutional Neural Networks Through Fine-Tuning. IJCNN 2022: 1-8 - [c46]Luís Fabrício de F. Souza, José Jerovane da Costa Nascimento, Cyro M. G. Sabóia, Adriell Gomes Marques, Guilherme Freire Brilhante Severiano, Lucas de Oliveira Santos, Paulo A. L. Rego, Pedro Pedrosa Rebouças Filho:
New Approach in LPR Systems Using Deep Learning to Classify Mercosur License Plates with Perspective Adjustment. ISDA (2) 2022: 31-41 - [c45]Aldísio Gonçalves Medeiros, Lucas de Oliveira Santos, Pedro Pedrosa Rebouças Filho:
Fast Stroke Lesions Segmentation Based on Parzen Estimation and Non-uniform Bit Allocation in Skull CT Images. ISDA (4) 2022: 99-109 - [c44]Cyro M. G. Sabóia, Adriell Gomes Marques, Luís Fabrício de Freitas Souza, Solon Alves Peixoto, Matheus A. dos Santos, Antônio Carlos da Silva Barros, Paulo A. L. Rego, Pedro Pedrosa Rebouças Filho:
Fully Automatic LPR Method Using Haar Cascade for Real Mercosur License Plates. ISDA (3) 2022: 513-522 - 2021
- [j56]Yongzhao Xu, Navar Medeiros M. e Nascimento, Pedro Henrique Feijo de Sousa, Fabricio Gonzalez Nogueira, Bismark C. Torrico, Tao Han, Chuanyu Jia, Pedro Pedrosa Rebouças Filho:
Multi-sensor edge computing architecture for identification of failures short-circuits in wind turbine generators. Appl. Soft Comput. 101: 107053 (2021) - [j55]Yongzhao Xu, Luís Fabrício de F. Souza, Iágson Carlos Lima Silva, Adriell Gomes Marques, Francisco H. S. Silva, Virgínia Xavier Nunes, Tao Han, Chuanyu Jia, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho:
A soft computing automatic based in deep learning with use of fine-tuning for pulmonary segmentation in computed tomography images. Appl. Soft Comput. 112: 107810 (2021) - [j54]Elene Firmeza Ohata, Gabriel Maia Bezerra, João Victor Souza das Chagas, Aloisio Vieira Lira Neto, Adriano Bessa Albuquerque, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho:
Automatic detection of COVID-19 infection using chest X-ray images through transfer learning. IEEE CAA J. Autom. Sinica 8(1): 239-248 (2021) - [j53]João Victor Souza das Chagas, Douglas de A. Rodrigues, Roberto F. Ivo, Mohammad Mehedi Hassan, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho:
A new approach for the detection of pneumonia in children using CXR images based on an real-time IoT system. J. Real Time Image Process. 18(4): 1099-1114 (2021) - [j52]Carlos M. J. M. Dourado Júnior, Suane Pires P. da Silva, Raul Victor Medeiros da Nóbrega, Pedro Pedrosa Rebouças Filho, Khan Muhammad, Victor Hugo C. de Albuquerque:
An Open IoHT-Based Deep Learning Framework for Online Medical Image Recognition. IEEE J. Sel. Areas Commun. 39(2): 541-548 (2021) - [j51]Francisco Hércules dos S. Silva, Gabriel Maia Bezerra, Gabriel Bandeira Holanda, João Wellington Mendes de Souza, Paulo A. L. Rego, Aloísio Vieira Lira Neto, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho:
A novel feature extractor for human action recognition in visual question answering. Pattern Recognit. Lett. 147: 41-47 (2021) - [j50]Elene Firmeza Ohata, João Victor Souza das Chagas, Gabriel Maia Bezerra, Mohammad Mehedi Hassan, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho:
A novel transfer learning approach for the classification of histological images of colorectal cancer. J. Supercomput. 77(9): 9494-9519 (2021) - [c43]Shara S. A. Alves, Elene F. Ohata, Navar Medeiros M. e Nascimento, João W. M. de Souza, Gabriel Bandeira Holanda, Luiz Lannes Loureiro, Pedro Pedrosa Rebouças Filho:
Gender-based approach to estimate the human body fat percentage using Machine Learning. IJCNN 2021: 1-8 - [c42]Virgínia Xavier Nunes, Aldísio Gonçalves Medeiros, Raylson Silva de Lima, Luís Fabrício de F. Souza, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho:
A Novel Web Platform for COVID-19 diagnosis using X-Ray exams and Deep Learning Techniques. IJCNN 2021: 1-8 - [c41]Cyro M. G. Sabóia, Pedro Pedrosa Rebouças Filho:
Brazilian Mercosur License Plate Detection and Recognition Using Haar Cascade and Tesseract OCR on Synthetic Imagery. ISDA 2021: 849-858 - [c40]Wictor Gomes de Oliveira, Pedro Pedrosa Rebouças Filho, Elias Teodoro da Silva Júnior:
Driver Behavior Analysis: Abnormal Driving Detection Using MLP Classifier Applied to Outdoor Camera Images. ISDA 2021: 1142-1152 - [c39]João Wellington Mendes de Souza, Aldísio Gonçalves Medeiros, Gabriel Bandeira Holanda, Paulo A. L. Rego, Pedro Pedrosa Rebouças Filho:
Fingerprint Classification Based on the Henry System via ResNet. IWSSIP 2021: 15-28 - 2020
- [j49]Tao Han, Virgínia Xavier Nunes, Luís Fabrício de F. Souza, Adriell Gomes Marques, Iágson Carlos Lima Silva, Marcos Aurelio A. Ferreira Junior, Jinghua Sun, Pedro Pedrosa Rebouças Filho:
Internet of Medical Things - Based on Deep Learning Techniques for Segmentation of Lung and Stroke Regions in CT Scans. IEEE Access 8: 71117-71135 (2020) - [j48]Alisson Barbosa de Souza, Paulo A. L. Rego, Tiago Carneiro, Jardel das C. Rodrigues, Pedro Pedrosa Rebouças Filho, José Neuman de Souza, Vinay Chamola, Victor Hugo C. de Albuquerque, Biplab Sikdar:
Computation Offloading for Vehicular Environments: A Survey. IEEE Access 8: 198214-198243 (2020) - [j47]Qinhua Hu, Luís Fabrício de F. Souza, Gabriel Bandeira Holanda, Shara S. A. Alves, Francisco Hércules dos S. Silva, Tao Han, Pedro Pedrosa Rebouças Filho:
An effective approach for CT lung segmentation using mask region-based convolutional neural networks. Artif. Intell. Medicine 103: 101792 (2020) - [j46]Victor Hugo C. de Albuquerque, Douglas de A. Rodrigues, Roberto F. Ivo, Solon Alves Peixoto, Tao Han, Wanqing Wu, Pedro Pedrosa Rebouças Filho:
Fast fully automatic heart fat segmentation in computed tomography datasets. Comput. Medical Imaging Graph. 80: 101674 (2020) - [j45]João Victor Souza das Chagas, Roberto F. Ivo, Matheus T. Guimarães, Douglas de A. Rodrigues, Elizângela de S. Rebouças, Pedro Pedrosa Rebouças Filho:
Fast fully automatic skin lesions segmentation probabilistic with Parzen window. Comput. Medical Imaging Graph. 85: 101774 (2020) - [j44]Tao Han, Jefferson S. Almeida, Suane Pires P. da Silva, Paulo Honório Filho, Antonio Wendell De Oliveira Rodrigues, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho:
An effective approach to unmanned aerial vehicle navigation using visual topological map in outdoor and indoor environments. Comput. Commun. 150: 696-702 (2020) - [j43]Navar Medeiros M. e Nascimento, Leandro Bezerra Marinho, Solon Alves Peixoto, João Paulo do Vale Madeiro, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho:
Heart Arrhythmia Classification Based on Statistical Moments and Structural Co-occurrence. Circuits Syst. Signal Process. 39(2): 631-650 (2020) - [j42]Edmilson Q. Santos Filho, Pedro Henrique Feijo de Sousa, Pedro Pedrosa Rebouças Filho, Guilherme A. Barreto, Victor Hugo C. de Albuquerque:
Evaluation of Goat Leather Quality Based on Computational Vision Techniques. Circuits Syst. Signal Process. 39(2): 651-673 (2020) - [j41]Francisco Fábio Ximenes Vasconcelos, Róger M. Sarmento, Pedro Pedrosa Rebouças Filho, Victor Hugo C. de Albuquerque:
Artificial intelligence techniques empowered edge-cloud architecture for brain CT image analysis. Eng. Appl. Artif. Intell. 91: 103585 (2020) - [j40]Róger M. Sarmento, Francisco Fábio Ximenes Vasconcelos, Pedro Pedrosa Rebouças Filho, Victor Hugo C. de Albuquerque:
An IoT platform for the analysis of brain CT images based on Parzen analysis. Future Gener. Comput. Syst. 105: 135-147 (2020) - [j39]Tao Han, Roberto F. Ivo, Douglas de A. Rodrigues, Solon Alves Peixoto, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho:
Cascaded Volumetric Fully Convolutional Networks for Whole-Heart and Great Vessel 3D segmentation. Future Gener. Comput. Syst. 108: 198-209 (2020) - [j38]Luís Fabrício de F. Souza, Gabriel Bandeira Holanda, Francisco Hércules dos S. Silva, Shara Shami Araújo Alves, Pedro Pedrosa Rebouças Filho:
Automatic lung segmentation in CT images using mask R-CNN for mapping the feature extraction in supervised methods of machine learning using transfer learning. Int. J. Hybrid Intell. Syst. 16(4): 189-205 (2020) - [j37]Marcus A. G. Santos, Roberto Muñoz, Rodrigo Olivares, Pedro Pedrosa Rebouças Filho, Javier Del Ser, Victor Hugo C. de Albuquerque:
Online heart monitoring systems on the internet of health things environments: A survey, a reference model and an outlook. Inf. Fusion 53: 222-239 (2020) - [j36]Solon Alves Peixoto, Francisco Fábio Ximenes Vasconcelos, Matheus T. Guimarães, Aldísio Gonçalves Medeiros, Paulo A. L. Rego, Aloisio Vieira Lira Neto, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho:
A high-efficiency energy and storage approach for IoT applications of facial recognition. Image Vis. Comput. 96: 103899 (2020) - [j35]Solon Alves Peixoto, Pedro Pedrosa Rebouças Filho, Arunkumar N., Victor Hugo C. de Albuquerque:
Automatic classification of pulmonary diseases using a structural co-occurrence matrix. Neural Comput. Appl. 32(15): 10935-10945 (2020) - [j34]Douglas de A. Rodrigues, Roberto F. Ivo, Suresh Chandra Satapathy, Shuihua Wang, D. Jude Hemanth, Pedro Pedrosa Rebouças Filho:
A new approach for classification skin lesion based on transfer learning, deep learning, and IoT system. Pattern Recognit. Lett. 136: 8-15 (2020) - [j33]Luís Fabrício de F. Souza, Iágson Carlos Lima Silva, Adriell Gomes Marques, Francisco Hércules dos S. Silva, Virgínia Xavier Nunes, Mohammad Mehedi Hassan, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho:
Internet of Medical Things: An Effective and Fully Automatic IoT Approach Using Deep Learning and Fine-Tuning to Lung CT Segmentation. Sensors 20(23): 6711 (2020) - [c38]Lucas S. Fernandes, Francisco H. S. Silva, Elene F. Ohata, Aldísio Gonçalves Medeiros, Aloisio Vieira Lira Neto, Yuri Lenon Barbosa Nogueira, Paulo A. L. Rego, Pedro Pedrosa Rebouças Filho:
A Robust Automatic License Plate Recognition System for Embedded Devices. BRACIS 2020: 226-239 - [c37]Aldísio Gonçalves Medeiros, Lucas de O. Santos, Róger Moura Sarmento, Elizângela de S. Rebouças, Pedro Pedrosa Rebouças Filho:
New Adaptive Morphological Geodesic Active Contour Method for Segmentation of Hemorrhagic Stroke in Computed Tomography Image. BRACIS (2) 2020: 604-618 - [c36]Francisco H. S. Silva, Aldísio Gonçalves Medeiros, Elene F. Ohata, Pedro Pedrosa Rebouças Filho:
Classification of Electroencephalogram Signals for Detecting Predisposition to Alcoholism using Computer Vision and Transfer Learning. CBMS 2020: 126-131 - [c35]Shara Shami Araújo Alves, Alexis Galeno Matos, Jefferson Silva Almeida, Cilis Aragao Benevides, Caio Cesar Henrique Cunha, Rhuan Victor Crescencio Santiago, Renato Francisco Pereira, Pedro Pedrosa Rebouças Filho:
A New Strategy for the Detection of Diabetic Retinopathy using a Smartphone App and Machine Learning Methods Embedded on Cloud Computer. CBMS 2020: 542-545 - [c34]Aldísio Gonçalves Medeiros, Elene F. Ohata, Francisco H. S. Silva, Paulo A. L. Rego, Pedro Pedrosa Rebouças Filho:
An Approach to BI-RADS Uncertainty Levels Classification Via Deep Learning with Transfer Learning Technique. CBMS 2020: 603-608 - [c33]Antônio Carlos da Silva Barros, Elene F. Ohata, Suane Pires P. da Silva, Jefferson Silva Almeida, Pedro Pedrosa Rebouças Filho:
An Innovative Approach of Textile Fabrics Identification from Mobile Images using Computer Vision based on Deep Transfer Learning. IJCNN 2020: 1-8 - [c32]Marcos A. Araujo Ferreira, Luís Fabrício de F. Souza, Francisco Hércules dos S. Silva, Elene Firmeza Ohata, Jefferson Silva Almeida, Pedro Pedrosa Rebouças Filho:
Intelligent Industrial IoT system for detection of short-circuit failure in windings of wind turbines. IJCNN 2020: 1-8 - [c31]Matheus T. Guimarães, Aldísio Gonçalves Medeiros, Jefferson S. Almeida, Marcos Falcão y Martin, Robertas Damasevicius, Rytis Maskeliunas, César Lincoln Cavalcante Mattos, Pedro Pedrosa Rebouças Filho:
An Optimized Approach to Huntington's Disease Detecting via Audio Signals Processing with Dimensionality Reduction. IJCNN 2020: 1-8 - [c30]Aldísio Gonçalves Medeiros, João P. B. Andrade, Paulo Bruno S. Serafim, Alexandre M. M. Santos, José G. R. Maia, Fernando Antonio Mota Trinta, José A. F. de Macêdo, Pedro P. R. Filho, Paulo A. L. Rego:
A Novel Approach for Automatic Enhancement of Fingerprint Images via Deep Transfer Learning. IJCNN 2020: 1-8 - [c29]Virgínia Xavier Nunes, Aldísio Gonçalves Medeiros, Francisco H. S. Silva, Gabriel Maia Bezerra, Pedro P. R. Filho:
Adaptive Level Set with region analysis via Mask R-CNN: A comparison against classical methods. IJCNN 2020: 1-8 - [c28]João W. M. de Souza, Gabriel Bandeira Holanda, Roberto F. Ivo, Shara S. A. Alves, Suane Pires P. da Silva, Virgínia Xavier Nunes, Luiz Lannes Loureiro, C. H. Dias-Silva, Pedro Pedrosa Rebouças Filho:
Predicting body measures from 2D images using Convolutional Neural Networks. IJCNN 2020: 1-6
2010 – 2019
- 2019
- [j32]Pedro Pedrosa Rebouças Filho, Antônio Carlos da Silva Barros, Jefferson S. Almeida, Joel J. P. C. Rodrigues, Victor Hugo C. de Albuquerque:
A new effective and powerful medical image segmentation algorithm based on optimum path snakes. Appl. Soft Comput. 76: 649-670 (2019) - [j31]Leandro Bezerra Marinho, Pedro Pedrosa Rebouças Filho, Victor Hugo C. de Albuquerque:
Ultrasonic sensor signals and self organized mapping with nearest neighbors for the microstructural characterization of thermally-aged Inconel 625 alloy. Comput. Ind. 107: 1-10 (2019) - [j30]Carlos M. J. M. Dourado Júnior, Suane Pires P. da Silva, Raul Victor Medeiros da Nóbrega, Antônio Carlos da Silva Barros, Pedro Pedrosa Rebouças Filho, Victor Hugo C. de Albuquerque:
Deep learning IoT system for online stroke detection in skull computed tomography images. Comput. Networks 152: 25-39 (2019) - [j29]Francisco Fábio Ximenes Vasconcelos, Aldísio Gonçalves Medeiros, Solon Alves Peixoto, Pedro Pedrosa Rebouças Filho:
Automatic skin lesions segmentation based on a new morphological approach via geodesic active contour. Cogn. Syst. Res. 55: 44-59 (2019) - [j28]Pedro Pedrosa Rebouças Filho, Samuel Luz Gomes, Navar de Medeiros Mendonça e Nascimento, Cláudio Marques de Sá Medeiros, Fatma Outay, Victor Hugo C. de Albuquerque:
Energy production predication via Internet of Thing based machine learning system. Future Gener. Comput. Syst. 97: 180-193 (2019) - [j27]Leandro Bezerra Marinho, Navar de Medeiros Mendonça e Nascimento, João Wellington M. Souza, Mateus Valentim Gurgel, Pedro Pedrosa Rebouças Filho, Victor Hugo C. de Albuquerque:
A novel electrocardiogram feature extraction approach for cardiac arrhythmia classification. Future Gener. Comput. Syst. 97: 564-577 (2019) - [j26]Carlos M. J. M. Dourado Júnior, Suane Pires P. da Silva, Raul Victor Medeiros da Nóbrega, Antônio Carlos da Silva Barros, Arun Kumar Sangaiah, Pedro Pedrosa Rebouças Filho, Victor Hugo C. de Albuquerque:
A new approach for mobile robot localization based on an online IoT system. Future Gener. Comput. Syst. 100: 859-881 (2019) - [j25]Lucas Silva de Sousa, Pedro Pedrosa Rebouças Filho, Francisco Nivando Bezerra, Ajalmar R. da Rocha Neto, Saulo A. F. Oliveira:
An Improved Retinal Blood Vessel Detection System Using an Extreme Learning Machine. Int. J. E Health Medical Commun. 10(3): 39-55 (2019) - [j24]Pedro Pedrosa Rebouças Filho, Suane Pires P. da Silva, Victor N. Praxedes, D. Jude Hemanth, Victor Hugo C. de Albuquerque:
Control of singularity trajectory tracking for robotic manipulator by genetic algorithms. J. Comput. Sci. 30: 55-64 (2019) - [j23]Pedro Pedrosa Rebouças Filho, Antônio Carlos da Silva Barros, Geraldo L. B. Ramalho, Clayton R. Pereira, João Paulo Papa, Victor Hugo C. de Albuquerque, João Manuel R. S. Tavares:
Automated recognition of lung diseases in CT images based on the optimum-path forest classifier. Neural Comput. Appl. 31(S-2): 901-914 (2019) - [j22]Jefferson S. Almeida, Pedro Pedrosa Rebouças Filho, Tiago Carneiro, Wei Wei, Robertas Damasevicius, Rytis Maskeliunas, Victor Hugo C. de Albuquerque:
Detecting Parkinson's disease with sustained phonation and speech signals using machine learning techniques. Pattern Recognit. Lett. 125: 55-62 (2019) - [j21]Jardel das C. Rodrigues, Pedro Pedrosa Rebouças Filho, Eugenio Peixoto Jr, Arunkumar N., Victor Hugo C. de Albuquerque:
Classification of EEG signals to detect alcoholism using machine learning techniques. Pattern Recognit. Lett. 125: 140-149 (2019) - [j20]Elizângela de S. Rebouças, Régis C. P. Marques, Alan M. Braga, Saulo A. F. Oliveira, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho:
New level set approach based on Parzen estimation for stroke segmentation in skull CT images. Soft Comput. 23(19): 9265-9286 (2019) - [j19]Victor Hugo C. de Albuquerque, Joel J. P. C. Rodrigues, Pedro Pedrosa Rebouças Filho, Jaime Lloret Mauri, Mohsen Guizani:
Guest Editorial: Interactive Virtual Environments for Neuroscience. IEEE J. Biomed. Health Informatics 23(5): 1863-1864 (2019) - [c27]Suane Pires Pinheiro da Silva, Paulo Honório Filho, Leandro Bezerra Marinho, Jefferson S. Almeida, Navar Medeiros M. e Nascimento, Antonio Wendell De Oliveira Rodrigues, Pedro Pedrosa Rebouças Filho:
A New Approach to Navigation of Unmanned Aerial Vehicle using Deep Transfer Learning. BRACIS 2019: 222-227 - [c26]Luan Sousa Cordeiro, Joyce Saraiva Lima, A. Iedo Rocha Ribeiro, Francisco Nivando Bezerra, Pedro Pedrosa Rebouças Filho, Ajalmar R. da Rocha Neto:
Pill Image Classification using Machine Learning. BRACIS 2019: 556-561 - [c25]Pedro Pedrosa Rebouças Filho, João Wellington M. Souza, Leandro Bezerra Marinho, Gabriel Bandeira Holanda, Harison Herman Silva, Alvaro A. F. Leite, Thais S. Bandeira, Antonio Wendell De Oliveira Rodrigues:
Mobile System to Aid in the Identification and Classification of Electrical Assets using Convolutional Neural Network. BRACIS 2019: 699-704 - [c24]Marcos Aurelio A. Ferreira Junior, Mateus Valentim Gurgel, Leandro Bezerra Marinho, Navar Medeiros M. e Nascimento, Suane Pires P. da Silva, Shara Shami A. Alves, Geraldo Luis Bezerra Ramalho, Pedro Pedrosa Rebouças Filho:
Evaluation of Heart Disease Diagnosis Approach using ECG Images. IJCNN 2019: 1-7 - [c23]Luís Fabrício de F. Souza, Gabriel Bandeira Holanda, Shara S. A. Alves, Francisco Hércules dos S. Silva, Pedro Pedrosa Rebouças Filho:
Automatic Lung Segmentation in CT Images Using Mask R-CNN for Mapping the Feature Extraction in Supervised Methods of Machine Learning. ISDA 2019: 140-149 - 2018
- [j18]Joel Sotero da Cunha Neto, Pedro Pedrosa Rebouças Filho, Guilherme P. Ferreira Da Silva, Natalia B. Da Cunha Olegario, João Batista Furlan Duarte, Victor Hugo C. de Albuquerque:
Dynamic Evaluation and Treatment of the Movement Amplitude Using Kinect Sensor. IEEE Access 6: 17292-17305 (2018) - [j17]Murillo Barata Rodrigues, Raul Victor Medeiros da Nóbrega, Shara Shami A. Alves, Pedro Pedrosa Rebouças Filho, João Batista Furlan Duarte, Arun Kumar Sangaiah, Victor Hugo C. de Albuquerque:
Health of Things Algorithms for Malignancy Level Classification of Lung Nodules. IEEE Access 6: 18592-18601 (2018) - [j16]Tiago Carneiro, Raul Victor Medeiros da Nóbrega, Thiago Nepomuceno, Gui-Bin Bian, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho:
Performance Analysis of Google Colaboratory as a Tool for Accelerating Deep Learning Applications. IEEE Access 6: 61677-61685 (2018) - [j15]Fabio Cisne Ribeiro, Raphael Torres Santos Carvalho, Paulo Cortez, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho:
Binary Neural Networks for Classification of Voice Commands From Throat Microphone. IEEE Access 6: 70130-70144 (2018) - [j14]Leandro Bezerra Marinho, Pedro Pedrosa Rebouças Filho, Jefferson S. Almeida, João Wellington M. Souza, Amauri Holanda de Souza Júnior, Victor Hugo C. de Albuquerque:
A novel mobile robot localization approach based on classification with rejection option using computer vision. Comput. Electr. Eng. 68: 26-43 (2018) - [j13]Solon Alves Peixoto, Pedro Pedrosa Rebouças Filho:
Neurologist-level classification of stroke using a Structural Co-Occurrence Matrix based on the frequency domain. Comput. Electr. Eng. 71: 398-407 (2018) - [j12]Pedro Pedrosa Rebouças Filho, Navar Medeiros M. e Nascimento, Igor Rocha de Sousa, Cláudio Marques de Sá Medeiros, Victor Hugo C. de Albuquerque:
A reliable approach for detection of incipient faults of short-circuits in induction generators using machine learning. Comput. Electr. Eng. 71: 440-451 (2018) - [j11]João Wellington M. Souza, Shara Shami A. Alves, Elizângela de S. Rebouças, Jefferson S. Almeida, Pedro Pedrosa Rebouças Filho:
A New Approach to Diagnose Parkinson's Disease Using a Structural Cooccurrence Matrix for a Similarity Analysis. Comput. Intell. Neurosci. 2018: 7613282:1-7613282:8 (2018) - [j10]Pedro Pedrosa Rebouças Filho, Solon Alves Peixoto, Raul Victor Medeiros da Nóbrega, D. Jude Hemanth, Aldísio Gonçalves Medeiros, Arun Kumar Sangaiah, Victor Hugo C. de Albuquerque:
Automatic histologically-closer classification of skin lesions. Comput. Medical Imaging Graph. 68: 40-54 (2018) - [c22]Pedro Pedrosa Rebouças Filho, Navar de Medeiros Mendonça e Nascimento, Shara Shami Araújo Alves, Samuel Luz Gomes, Cláudio Marques de Sá Medeiros:
Estimation of the Energy Production in a Wind Farm Using Regression Methods and Wind Speed Forecast. BRACIS 2018: 79-84 - [c21]Suane Pires Pinheiro da Silva, Leandro Bezerra Marinho, Jefferson Silva Almeida, Pedro Pedrosa Rebouças Filho:
Robot Localization Using Classification with Reject Option from Structural Co-occurrence Matrix in Omnidirectional Images. BRACIS 2018: 456-461 - [c20]Mateus A. Vieira Neto, João W. M. de Souza, Pedro Pedrosa Rebouças Filho, Antonio Wendell De Oliveira Rodrigues:
CoforDes: An Invariant Feature Extractor for the Drug Pill Identification. CBMS 2018: 30-35 - [c19]Raul Victor Medeiros da Nóbrega, Solon Alves Peixoto, Suane Pires P. da Silva, Pedro Pedrosa Rebouças Filho:
Lung Nodule Classification via Deep Transfer Learning in CT Lung Images. CBMS 2018: 244-249 - [c18]Fausto Sampaio, Elias Teodoro Silva Jr., Lucas Costa da Silva, Pedro Pedrosa Rebouças Filho:
An Embedded Classifier for Mobile Robot Localization Using Support Vector Machines and Gray-Level Co-occurrence Matrix. ICAISC (1) 2018: 201-213 - [c17]Danillo Roberto Pereira, Pedro Pedrosa Rebouças Filho, Gustavo Henrique de Rosa, João Paulo Papa, Victor Hugo C. de Albuquerque:
Stroke Lesion Detection Using Convolutional Neural Networks. IJCNN 2018: 1-6 - [c16]Renato F. Pereira, Cláudio M. S. Medeiros, Pedro Pedrosa Rebouças Filho:
Goat Leather Quality Classification Using Computer Vision and Machine Learning. IJCNN 2018: 1-8 - [c15]Suane Pires P. da Silva, Raul Victor Medeiros da Nóbrega, Aldísio Gonçalves Medeiros, Leandro Bezerra Marinho, Jefferson S. Almeida, Pedro Pedrosa Rebouças Filho:
Localization of Mobile Robots with Topological Maps and Classification with Reject Option using Convolutional Neural Networks in Omnidirectional Images. IJCNN 2018: 1-8 - [c14]Pedro Henrique Feijo de Sousa, Navar Medeiros M. e Nascimento, Pedro Pedrosa Rebouças Filho, Cláudio Marques de Sá Medeiros:
Detection and classification of faults in induction generator applied into wind turbines through a machine learning approach. IJCNN 2018: 1-7 - [c13]Rebeca G. C. Cunha, Elias Teodoro da Silva Júnior, João W. M. de Souza, Pedro Pedrosa Rebouças Filho:
Toward an Embedded Application to Identify Degradation in Energized Polymeric Insulators using Discrete Wavelet Transform. IWSSIP 2018: 1-5 - [c12]Tiago Carneiro, Jan Gmys, Nouredine Melab, Francisco Heron de Carvalho Junior, Pedro Pedrosa Rebouças Filho, Daniel Tuyttens:
Dynamic Configuration of CUDA Runtime Variables for CDP-Based Divide-and-Conquer Algorithms. VECPAR 2018: 16-30 - 2017
- [j9]Rafael D. de C. Silva, Saulo G. C. Albuquerque, Artur de V. Muniz, Pedro Pedrosa Rebouças Filho, Sidarta Ribeiro, Plácido Rogério Pinheiro, Victor Hugo C. de Albuquerque:
Reducing the Schizophrenia Stigma: A New Approach Based on Augmented Reality. Comput. Intell. Neurosci. 2017: 2721846:1-2721846:10 (2017) - [j8]Pedro Pedrosa Rebouças Filho, Róger M. Sarmento, Gabriel Bandeira Holanda, Daniel de Alencar Lima:
New approach to detect and classify stroke in skull CT images via analysis of brain tissue densities. Comput. Methods Programs Biomed. 148: 27-43 (2017) - [j7]Leandro Bezerra Marinho, Jefferson S. Almeida, João Wellington M. Souza, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho:
A novel mobile robot localization approach based on topological maps using classification with reject option in omnidirectional images. Expert Syst. Appl. 72: 1-17 (2017) - [j6]Pedro Pedrosa Rebouças Filho, Paulo César Cortez, Antônio Carlos da Silva Barros, Victor Hugo C. de Albuquerque, João Manuel R. S. Tavares:
Novel and powerful 3D adaptive crisp active contour method applied in the segmentation of CT lung images. Medical Image Anal. 35: 503-516 (2017) - [j5]Samuel Luz Gomes, Elizângela de S. Rebouças, Edson Cavalcanti Neto, João P. Papa, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho, João Manuel R. S. Tavares:
Embedded real-time speed limit sign recognition using image processing and machine learning techniques. Neural Comput. Appl. 28(S-1): 573-584 (2017) - [j4]Pedro Pedrosa Rebouças Filho, Elizângela de S. Rebouças, Leandro Bezerra Marinho, Róger M. Sarmento, João Manuel R. S. Tavares, Victor Hugo C. de Albuquerque:
Analysis of human tissue densities: A new approach to extract features from medical images. Pattern Recognit. Lett. 94: 211-218 (2017) - [c11]Suane Pires P. da Silva, Leandro Bezerra Marinho, Jefferson S. Almeida, Pedro Pedrosa Rebouças Filho:
A Novel Approach for Mobile Robot Localization in Topological Maps Using Classification with Reject Option from Structural Co-occurrence Matrix. CAIP (1) 2017: 3-15 - [c10]Elizângela de S. Rebouças, Alan M. Braga, Róger Moura Sarmento, Régis C. P. Marques, Pedro Pedrosa Rebouças Filho:
Level Set Based on Brain Radiological Densities for Stroke Segmentation in CT Images. CBMS 2017: 391-396 - [c9]Raul Victor Medeiros da Nóbrega, Murillo Barata Rodrigues, Pedro Pedrosa Rebouças Filho:
Segmentation and Visualization of the Lungs in Three Dimensions Using 3D Region Growing and Visualization Toolkit in CT Examinations of the Chest. CBMS 2017: 397-402 - [c8]Alan L. S. Matias, Saulo A. F. Oliveira, Ajalmar R. da Rocha Neto, Pedro Pedrosa Rebouças Filho:
High-Pass Learning Machine: An Edge Detection Approach. ICIAP Workshops 2017: 48-59 - [c7]Solon Alves Peixoto, Aldísio Gonçalves Medeiros, Antônio Carlos da Silva Barros, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho:
A New Approach to Segment Hemorrhagic Stroke in Computed Tomography via Optimum Path Snakes. ICMLA 2017: 402-407 - [c6]João Wellington M. Souza, Jefferson S. Almeida, Pedro Pedrosa Rebouças Filho:
A New Approach for the Diagnosis of Parkinson's Disease Using a Similarity Feature Extractor. ISDA 2017: 21-31 - [c5]Navar de Medeiros Mendonça e Nascimento, Cláudio Marques de Sá Medeiros, Pedro Pedrosa Rebouças Filho:
A Comparison of Machine Learning Methods to Identify Broken Bar Failures in Induction Motors Using Statistical Moments. ISDA 2017: 124-133 - [c4]Fausto Sampaio, Lucas Costa da Silva, Pedro Pedrosa Rebouças Filho, Elias Teodoro da Silva Jr.:
Reducing Computational Costs of an Embedded Classifier to Determine Leather Quality. SBESC 2017: 211-216 - 2016
- [j3]Francisco Diego Lima Moreira, Maurício Nunes Kleinberg, Hemerson Furtado Arruda, Francisco Nélio Costa Freitas, Marcelo Monteiro Valente Parente, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho:
A novel Vickers hardness measurement technique based on Adaptive Balloon Active Contour Method. Expert Syst. Appl. 45: 294-306 (2016) - [c3]Leandro Bezerra Marinho, Amauri Holanda de Souza Júnior, Pedro Pedrosa Rebouças Filho:
A New Approach to Human Activity Recognition Using Machine Learning Techniques. ISDA 2016: 529-538 - [c2]Murillo Barata Rodrigues, Leandro Bezerra Marinho, Raul Victor Medeiros da Nóbrega, João Wellington M. Souza, Pedro Pedrosa Rebouças Filho:
Lung Segmentation in Chest Computerized Tomography Images Using the Border Following Algorithm. ISDA 2016: 539-548 - 2015
- [j2]Victor Hugo C. de Albuquerque, Cleisson V. Barbosa, Cleiton C. Silva, Elineudo P. de Moura, Pedro Pedrosa Rebouças Filho, João P. Papa, João Manuel R. S. Tavares:
Ultrasonic Sensor Signals and Optimum Path Forest Classifier for the Microstructural Characterization of Thermally-Aged Inconel 625 Alloy. Sensors 15(6): 12474-12497 (2015) - 2014
- [j1]Pedro Pedrosa Rebouças Filho, Paulo César Cortez, Antônio Carlos da Silva Barros, Victor Hugo C. de Albuquerque:
Novel Adaptive Balloon Active Contour Method based on internal force for image segmentation - A systematic evaluation on synthetic and real images. Expert Syst. Appl. 41(17): 7707-7721 (2014) - 2013
- [b1]Pedro Pedrosa Rebouças Filho:
Métodos de contornos ativos Crisp adaptativo 2D e 3D aplicados na segmentação dos pulmões em imagens de tomografia computadorizada do tórax. Federal University of Ceará, Fortaleza, Brazil, 2013
2000 – 2009
- 2008
- [c1]John Hebert da Silva Felix, Paulo César Cortez, Pedro Pedrosa Rebouças Filho, Auzuir Ripardo de Alexandria, Rodrigo Carvalho Sousa Costa, Marcelo Alcantara Holanda:
Identification and Quantification of Pulmonary Emphysema through Pseudocolors. MICAI 2008: 957-964
Coauthor Index
Jefferson S. Almeida
aka: Jefferson Silva Almeida
aka: Jefferson Silva Almeida
Navar de Medeiros Mendonça e Nascimento
aka: Navar Medeiros M. e Nascimento
aka: Navar Medeiros M. e Nascimento
Elene F. Ohata
aka: Elene Firmeza Ohata
aka: Elene Firmeza Ohata
Francisco H. S. Silva
aka: Francisco Hércules dos S. Silva
aka: Francisco Hércules dos S. Silva
Suane Pires P. da Silva
aka: Suane Pires Pinheiro da Silva
aka: Suane Pires Pinheiro da Silva
Luís Fabrício de F. Souza
aka: Luís Fabrício de Freitas Souza
aka: Luís Fabrício de Freitas Souza
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last updated on 2025-01-20 22:56 CET by the dblp team
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