Asif Iqbal Khan

Radiology, Nuclear Medicine and Imaging · 2020

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Radiology, Nuclear Medicine and Imaging — 13 citations into it; #2,190 of 3,265 by trust here, #2,536 by citations
• Computer Vision and Pattern Recognition — 9 citations into it; #17,422 of 21,575 by trust here, #16,787 by citations
• Artificial Intelligence — 8 citations into it
• Infectious Diseases — 6 citations into it; #321 of 589 by trust here, #457 by citations

Whom Asif Iqbal Khan trusts overall

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

1. François Chollet
2. Linda Wang
3. T. Ozturk
4. Z. Q. Lin
5. Muhammed Talo

Who trusts Asif Iqbal Khan overall

1. Ali Narin
2. Muhammet Fatih Aslan
3. Tawsifur Rahman
4. Ceren Kaya
5. Muhammed Fahri Unlersen
6. Amith Abdullah Khandakar

Papers from Asif Iqbal Khan's perspective

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

1. Xception: Deep Learning with Depthwise Separable Convolutions
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning
4. ImageNet classification with deep convolutional neural networks
5. COVID-Net: a tailored deep convolutional neural network design for detection of COVID-19 cases from chest X-ray images
6. Deep Learning in Medical Image Analysis
7. ImageNet Large Scale Visual Recognition Challenge
8. Coronavirus covid-19 has killed more people than SARS and MERS combined, despite lower case fatality rate (British medical journal)
9. Going deeper with convolutions
10. Sensitivity of Chest CT for COVID-19: Comparison to RT-PCR (Radiology)

Their papers

• CoroNet: A deep neural network for detection and diagnosis of COVID-19 from chest x-ray images (2020) — 1,161 citations