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Aristófanes Corrêa Silva

Aristófanes Corrêa Silva

D-Index & Metrics

Computer Science

D-Index
36
Citations
4332
World Ranking
11388
National Ranking
43

Overview

Aristófanes Corrêa Silva is affiliated with the Federal University of Maranhão in Brazil. Their research spans multiple disciplines including Medicine, Computer Science, and Engineering, contributing to a comprehensive body of work in medical imaging and artificial intelligence applications.

Their recent papers cover a range of topics related to medical imaging and automated diagnostic methods. Notable publications include:

  • "Kidney segmentation from computed tomography images using deep neural network" (2020), published in Computers in Biology and Medicine
  • "Breast cancer diagnosis from histopathological images using textural features and CBIR" (2020), published in Artificial Intelligence in Medicine
  • "Kidney tumor segmentation from computed tomography images using DeepLabv3+ 2.5D model" (2021), published in Expert Systems with Applications
  • "Automatic method for classifying COVID-19 patients based on chest X-ray images, using deep features and PSO-optimized XGBoost" (2021), published in Expert Systems with Applications
  • "Liver segmentation from computed tomography images using cascade deep learning" (2021), published in Computers in Biology and Medicine

The scientist frequently collaborates with several coauthors, with the most frequent including:

  • Anselmo Cardoso de Paiva
  • Geraldo Bráz
  • João Dallyson Sousa de Almeida
  • João Otávio Bandeira Diniz
  • Marcelo Gattass

Publication venues where the scientist has contributed multiple works include:

  • Expert Systems with Applications
  • Computers in Biology and Medicine
  • Applied Sciences
  • Procedia Computer Science
  • Brazilian Applied Science Review

Research topics emphasized in their work span advanced medical imaging, machine learning, and artificial intelligence techniques, focusing particularly on:

  • Radiomics and Machine Learning in Medical Imaging
  • AI in cancer detection
  • Advanced Neural Network Applications
  • Glaucoma and retinal disorders
  • Advanced X-ray and CT Imaging
  • COVID-19 diagnosis using AI
  • Retinal Imaging and Analysis

The scientist has also made contributions to book publications. One example is a work published by IFPI eBooks titled Análise temporal de mudanças no tecido tumoral da mama em imagens de ressonância magnética com realce de contraste dinâmico (2022).

In terms of specialized research focus, major subfields include Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, and Ophthalmology. This highlights a multidisciplinary approach to advancing medical image analysis and diagnostic support systems.

Best Publications

  • A New Database for Breast Research with Infrared Image

    L. F. Silva;D. C. M. Saade;G. O. Sequeiros;A. C. Silva

  • An automatic method for lung segmentation and reconstruction in chest X-ray using deep neural networks

    Johnatan Carvalho Souza;João Otávio Bandeira Diniz;Jonnison Lima Ferreira;Giovanni Lucca França da Silva

  • Convolutional neural network-based PSO for lung nodule false positive reduction on CT images.

    Giovanni Lucca França da Silva;Thales Levi Azevedo Valente;Aristófanes Corrêa Silva;Anselmo Cardoso de Paiva

  • Detection of masses in mammogram images using CNN, geostatistic functions and SVM

    Wener Borges Sampaio;Edgar Moraes Diniz;Aristófanes Corrêa Silva;Anselmo Cardoso de Paiva

  • Methodology for automatic detection of lung nodules in computerized tomography images

    João Rodrigo Ferreira da Silva Sousa;Aristófanes Corra Silva;Anselmo Cardoso de Paiva;Rodolfo Acatauassú Nunes

  • Detection of Masses in Digital Mammograms using K-Means and Support Vector Machine

    Leonardo de Oliveira Martins;Geraldo Braz Junior;Aristófanes Correa Silva;Anselmo Cardoso de Paiva

  • Automatic segmentation of lung nodules with growing neural gas and support vector machine

    Stelmo Magalhães Barros Netto;Aristófanes Corrêa Silva;Rodolfo Acatauassú Nunes;Marcelo Gattass

  • Automatic detection of solitary lung nodules using quality threshold clustering, genetic algorithm and diversity index.

    Antonio Oseas de Carvalho Filho;Wener Borges de Sampaio;Aristófanes Corrêa Silva;Anselmo Cardoso de Paiva

  • Automatic detection of small lung nodules in 3D CT data using Gaussian mixture models, Tsallis entropy and SVM

    Alex Martins Santos;Antonio Oseas de Carvalho Filho;Aristófanes Corrêa Silva;Anselmo Cardoso de Paiva

  • Kidney segmentation from computed tomography images using deep neural network.

    Luana Batista da Cruz;José Denes Lima Araújo;Jonnison Lima Ferreira;João Otávio Bandeira Diniz

  • Classification of breast regions as mass and non-mass based on digital mammograms using taxonomic indexes and SVM

    Fernando Soares Sérvulo de Oliveira;Antonio Oseas de Carvalho Filho;Aristófanes Corrêa Silva;Anselmo Cardoso de Paiva

  • Kidney tumor segmentation from computed tomography images using DeepLabv3+ 2.5D model

    Unknown

  • Breast cancer diagnosis from histopathological images using textural features and CBIR.

    Edson Damasceno Carvalho;Antonio Oseas de Carvalho Filho;Romuere R. V. e Silva;Flávio H. D. Araújo

  • Classification of breast tissues using Moran's index and Geary's coefficient as texture signatures and SVM

    Geraldo Braz Junior;Anselmo Cardoso de Paiva;Aristófanes Corrêa Silva;Alexandre Cesar Muniz de Oliveira

  • Hybrid analysis for indicating patients with breast cancer using temperature time series

    Lincoln F. Silva;Alair Augusto S.M.D. Santos;Renato S. Bravo;Aristófanes C. Silva

  • Liver segmentation from computed tomography images using cascade deep learning

    Unknown

  • Lung nodules diagnosis based on evolutionary convolutional neural network

    Giovanni L. Silva;Otílio P. Silva Neto;Aristófanes C. Silva;Anselmo C. Paiva

  • Convolutional neural network and texture descriptor-based automatic detection and diagnosis of glaucoma

    Marcos Vinícius dos Santos Ferreira;Antonio Oseas de Carvalho Filho;Alcilene Dalília de Sousa;Aristófanes Corrêa Silva

  • Detection of mass regions in mammograms by bilateral analysis adapted to breast density using similarity indexes and convolutional neural networks

    João Otávio Bandeira Diniz;Pedro Henrique Bandeira Diniz;Thales Levi Azevedo Valente;Aristófanes Corrêa Silva

  • Classification of patterns of benignity and malignancy based on CT using topology-based phylogenetic diversity index and convolutional neural network

    Antonio Oseas de Carvalho Filho;Aristofanes Corrêa Silva;Anselmo Cardoso de Paiva;Rodolfo Acatauassú Nunes

  • Automatic method for classifying COVID-19 patients based on chest X-ray images, using deep features and PSO-optimized XGBoost

    Domingos Alves Dias Júnior;Luana Batista da Cruz;João Otávio Bandeira Diniz;Giovanni Lucca França da Silva

  • Lung nodule classification using artificial crawlers, directional texture and support vector machine

    Bruno Rodrigues Froz;Antonio Oseas de Carvalho Filho;Aristófanes Corrêa Silva;Anselmo Cardoso de Paiva

Frequent Co-Authors

Marcelo Gattass
Marcelo Gattass Pontifical Catholic University of Rio de Janeiro

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