Md. Zabirul Islam

Radiology, Nuclear Medicine and Imaging · 2020

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Md. Zabirul Islam trusts overall

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

  1. Mohammad Rahimzadeh
  2. Joseph Paul Cohen
  3. Ezz El-Din Hemdan
  4. Abolfazl Attar
  5. Marwa A. Shouman
  6. Ioannis D. Apostolopoulos

Who trusts Md. Zabirul Islam overall

  1. Iqbal H. Sarker

Papers from Md. Zabirul Islam's perspective

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

  1. COVID-19 Image Data Collection
  2. Covid-19: automatic detection from X-ray images utilizing transfer learning with convolutional neural networks (Physical and Engineering Sciences in Medicine)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Sensitivity of Chest CT for COVID-19: Comparison to RT-PCR (Radiology)
  5. Correlation of Chest CT and RT-PCR Testing in Coronavirus Disease 2019 (COVID-19) in China: A Report of 1014 Cases
  6. Coronavirus Disease 2019 (COVID-19): Role of Chest CT in Diagnosis and Management. (AJR. American journal of roentgenology)
  7. COVIDX-Net: A Framework of Deep Learning Classifiers to Diagnose COVID-19 in X-Ray Images (arXiv.org)
  8. Within the Lack of Chest COVID-19 X-ray Dataset: A Novel Detection Model Based on GAN and Deep Transfer Learning (Symmetry)
  9. Can AI Help in Screening Viral and COVID-19 Pneumonia? (IEEE Access)
  10. Densely Connected Convolutional Networks

Their papers