Ş. Öztürk

Radiology, Nuclear Medicine and Imaging · 2020

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Ş. Öztürk trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Kunihiko Fukushima
  2. Mark J. Shensa
  3. Sujit Kumar Bose
  4. David A Clausi
  5. Dr. Prabira Kumar Sethy

Who trusts Ş. Öztürk overall

  1. Ceren Kaya
  2. Ali Narin
  3. Ziynet Pamuk

Papers from Ş. Öztürk's perspective

Ordered by how strongly the researchers Ş. Öztürk trusts endorse each paper. Same corpus, a different order for every researcher.

  1. [Asymptomatic infection of COVID-19 and its challenge to epidemic prevention and control]. (Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi)
  2. Backpropagation Applied to Handwritten Zip Code Recognition
  3. Textural Features for Image Classification
  4. Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position
  5. Detection of Coronavirus Disease (COVID-19) Based on Deep Features
  6. A deep learning algorithm using CT images to screen for Corona virus disease (COVID-19) (European Radiology)
  7. Covid-19: automatic detection from X-ray images utilizing transfer learning with convolutional neural networks (Physical and Engineering Sciences in Medicine)
  8. COVIDX-Net: A Framework of Deep Learning Classifiers to Diagnose COVID-19 in X-Ray Images (arXiv.org)
  9. Automatic detection of coronavirus disease (COVID-19) using X-ray images and deep convolutional neural networks
  10. Deep Learning Enables Accurate Diagnosis of Novel Coronavirus (COVID-19) With CT Images (IEEE/ACM Transactions on Computational Biology & Bioinformatics)

Their papers