Manjit Kaur

Computer Vision and Pattern Recognition · 2018–2020

A researcher in the Science corpus: 4 papers; trusts 6 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 40 citations into it
• Artificial Intelligence — 30 citations into it
• Computational Theory and Mathematics — 11 citations into it

Whom Manjit Kaur trusts overall

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

1. François Chollet

Who trusts Manjit Kaur overall

1. Ali Narin

Papers from Manjit Kaur's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Densely Connected Convolutional Networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Xception: Deep Learning with Depthwise Separable Convolutions
5. Chest CT for Typical 2019-nCoV Pneumonia: Relationship to Negative RT-PCR Testing (Radiology)
6. Covid-19: automatic detection from X-ray images utilizing transfer learning with convolutional neural networks (Physical and Engineering Sciences in Medicine)
7. Face recognition: a convolutional neural-network approach
8. CT Imaging Features of 2019 Novel Coronavirus (2019-nCoV) (Radiology)
9. Detection of Coronavirus Disease (COVID-19) Based on Deep Features
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Automated Deep Transfer Learning-Based Approach for Detection of COVID-19 Infection in Chest X-rays (2020) — 319 citations
• Classification of the COVID-19 infected patients using DenseNet201 based deep transfer learning (2020) — 523 citations
• Classification of COVID-19 patients from chest CT images using multi-objective differential evolution–based convolutional neural networks (2020) — 529 citations
• A Comprehensive Review on Image Encryption Techniques (2018) — 318 citations