Mücahid Barstuğan

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 Mücahid Barstuğan 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
  6. Robert Martin Haralick
  7. Ioannis D. Apostolopoulos
  8. Santi Kumari Behera
  9. Ezz El-Din Hemdan
  10. Ali Narin

Who trusts Mücahid Barstuğan overall

  1. Ali Narin
  2. Quoc-Viet Pham
  3. Sara Hosseinzadeh Kassani
  4. S. Latif
  5. Ceren Kaya
  6. Dinh C. Nguyen
  7. Peyman Hosseinzadeh Kassani

Papers from Mücahid Barstuğan's perspective

Ordered by how strongly the researchers Mücahid Barstuğan 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. Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position
  4. Textural Features for Image Classification
  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. Receptive fields and functional architecture of monkey striate cortex

Their papers