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Pedro Pedrosa Rebouças Filho

Pedro Pedrosa Rebouças Filho

D-Index & Metrics

Computer Science

D-Index
37
Citations
5046
World Ranking
10870
National Ranking
36

Overview

Pedro Pedrosa Rebouças Filho is affiliated with the Instituto Federal do Ceará in Brazil. Their research activity spans multiple disciplines, including Medicine, Computer Science, and Engineering. The scientist's work is particularly concentrated in subfields such as Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Biomedical Engineering, and Pulmonary and Respiratory Medicine.

The main research topics addressed include COVID-19 diagnosis using AI, Radiomics and Machine Learning in Medical Imaging, AI in cancer detection, Lung Cancer Diagnosis and Treatment, Brain Tumor Detection and Classification, Advanced Neural Network Applications, and Medical Image Segmentation Techniques.

Pedro Pedrosa Rebouças Filho has published in various scientific journals and conferences, with frequent publications in venues such as:

  • Congresso Brasileiro de Automática
  • Learning and Nonlinear Models
  • Pattern Recognition Letters
  • IEEE Access
  • IEEE Sensors Journal

Collaborations with other researchers are a notable part of their work. Frequent co-authors include:

  • Victor Hugo C. de Albuquerque (19 co-authored works)
  • Luís Fabrício de Freitas Souza (14 co-authored works)
  • Adriell Gomes Marques (12 co-authored works)
  • Elene Firmeza Ohata (11 co-authored works)
  • Francisco H. S. Silva (9 co-authored works)

Recent publications from Pedro Pedrosa Rebouças Filho highlight their contributions to medical imaging and artificial intelligence applied to healthcare challenges. Selected recent papers include:

  • "Automatic detection of COVID-19 infection using chest X-ray images through transfer learning" (2020), IEEE/CAA Journal of Automatica Sinica
  • "A new approach for classification skin lesion based on transfer learning, deep learning, and IoT system" (2020), Pattern Recognition Letters
  • "An effective approach for CT lung segmentation using mask region-based convolutional neural networks" (2020), Artificial Intelligence in Medicine
  • "An Open IoHT-Based Deep Learning Framework for Online Medical Image Recognition" (2020), IEEE Journal on Selected Areas in Communications
  • "Computation Offloading for Vehicular Environments: A Survey" (2020), IEEE Access

Best Publications

  • Performance Analysis of Google Colaboratory as a Tool for Accelerating Deep Learning Applications

    Tiago Carneiro;Raul Victor Medeiros Da Nobrega;Thiago Nepomuceno;Gui-Bin Bian

  • Detecting Parkinson's Disease with Sustained Phonation and Speech Signals using Machine Learning Techniques

    Jefferson Almeida;Pedro Pedrosa Rebouças Filho;Tiago Carneiro;Wei Wei

  • Automatic detection of COVID-19 infection using chest X-ray images through transfer learning

    Elene Firmeza Ohata;Gabriel Maia Bezerra;Joao Victor Souza das Chagas;Aloisio Vieira Lira Neto

  • Online heart monitoring systems on the internet of health things environments: A survey, a reference model and an outlook

    Marcus A. G. Santos;Roberto Muñoz;Rodrigo Olivares;Pedro Pedrosa Rebouças Filho

  • A novel electrocardiogram feature extraction approach for cardiac arrhythmia classification

    Leandro Bezerra Marinho;Navar de Medeiros Mendonça e Nascimento;João Wellington M. Souza;Mateus Valentim Gurgel

  • A new approach for classification skin lesion based on transfer learning, deep learning, and IoT system

    Douglas de A. Rodrigues;Roberto F. Ivo;Suresh Chandra Satapathy;Shuihua Wang

  • Lung Nodule Classification via Deep Transfer Learning in CT Lung Images

    Raul Victor Medeiros da Nobrega;Solon Alves Peixoto;Suane Pires P. da Silva;Pedro Pedrosa Reboucas Filho

  • Deep learning IoT system for online stroke detection in skull computed tomography images

    Carlos M.J.M. Dourado;Suane Pires P. da Silva;Raul Victor M. da Nóbrega;Antonio Carlos da S. Barros

  • Novel and powerful 3D adaptive crisp active contour method applied in the segmentation of CT lung images.

    Pedro Pedrosa Rebouças Filho;Paulo César Cortez;Antônio Carlos da Silva Barros;Victor Hugo C. de Albuquerque

  • An effective approach for CT lung segmentation using mask region-based convolutional neural networks.

    Qinhua Hu;Luís Fabrício de F. Souza;Gabriel Bandeira Holanda;Shara S. A. Alves

  • Health of Things Algorithms for Malignancy Level Classification of Lung Nodules

    Murillo B. Rodrigues;Raul Victor M. Da Nobrega;Shara Shami A. Alves;Pedro Pedrosa Reboucas Filho

  • An Open IoHT-Based Deep Learning Framework for Online Medical Image Recognition

    Carlos M. J. M. Dourado;Suane Pires P. da Silva;Raul Victor M. da Nobrega;Pedro P. Reboucas Filho

  • Computation Offloading for Vehicular Environments: A Survey

    Alisson Barbosa De Souza;Paulo A. L. Rego;Tiago Carneiro;Jardel Das C. Rodrigues

  • Lung nodule malignancy classification in chest computed tomography images using transfer learning and convolutional neural networks

    Raul Victor Medeiros da Nóbrega;Pedro Pedrosa Rebouças Filho;Murillo Barata Rodrigues;Suane Pires Pinheiro da Silva

  • A novel transfer learning approach for the classification of histological images of colorectal cancer

    Elene Firmeza Ohata;João Victor Souza das Chagas;Gabriel Maia Bezerra;Mohammad Mehedi Hassan

  • New approach to detect and classify stroke in skull CT images via analysis of brain tissue densities.

    Pedro Pedrosa Rebouças Filho;Róger M. Sarmento;Gabriel Bandeira Holanda;Daniel de Alencar Lima

  • Rotation-invariant feature extraction using a structural co-occurrence matrix

    Geraldo L. Bezerra Ramalho;Daniel S. Ferreira;Pedro P. Rebouças Filho;Fátima N. Sombra de Medeiros

  • Evolutionary algorithms for automatic lung disease detection

    Naman Gupta;Deepak Gupta;Ashish Khanna;Pedro P. Rebouças Filho

  • Novel Adaptive Balloon Active Contour Method based on internal force for image segmentation - A systematic evaluation on synthetic and real images

    Pedro Pedrosa Rebouças Filho;Paulo César Cortez;Antônio Carlos Da Silva Barros;Victor Hugo C. De Albuquerque

  • Deep Learning-Enhanced Internet of Medical Things to Analyze Brain CT Scans of Hemorrhagic Stroke Patients: A New Approach

    Yongzhao Xu;Gabriel Holanda;Luis Fabricio. de F. Souza;Hercules Silva

  • Classification of EEG signals to detect alcoholism using machine learning techniques

    Jardel das C. Rodrigues;Pedro P. Rebouças Filho;Eugenio Peixoto;Arun Kumar N

  • Brinell and Vickers Hardness Measurement Using Image Processing and Analysis Techniques

    Pedro Pedrosa Rebouças Filho;Tarique da Silveira Cavalcante;Victor Hugo Costa de Albuquerque;João Manuel Ribeiro Silva Tavares

Frequent Co-Authors

Victor Hugo C. de Albuquerque
Victor Hugo C. de Albuquerque Universidade Federal do Ceará
João Manuel R. S. Tavares
João Manuel R. S. Tavares University of Porto
Mohammad Mehedi Hassan
Mohammad Mehedi Hassan King Saud University
João Paulo Papa
João Paulo Papa Sao Paulo State University
Arun Kumar Sangaiah
Arun Kumar Sangaiah National Yunlin University of Science and Technology
Joel J. P. C. Rodrigues
Joel J. P. C. Rodrigues Federal University of Piauí
Sidarta Ribeiro
Sidarta Ribeiro Federal University of Rio Grande do Norte
Biplab Sikdar
Biplab Sikdar National University of Singapore
Wei Wei
Wei Wei Qilu University of Technology
Vinay Chamola
Vinay Chamola Birla Institute of Technology and Science, Pilani

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