Challenges, opportunities, and advances related to COVID-19 classification based on deep learning

Very Deep Convolutional Networks for Large-Scale Image Recognition

Karen Simonyan, Andrew Zisserman · arXiv (Cornell University) · 2014 · 75.4K citations · Full text

Geometric Learning, Convolutional Neural Network, Engineering +16

SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size

Forrest Iandola, Song Han, Matthew W. Moskewicz et al. · arXiv (Cornell University) · 2016 · 5.9K citations · Full text

Neural Architecture Search with Reinforcement Learning

Barret Zoph, Quoc V. Le · arXiv (Cornell University) · 2016 · 3.9K citations · Full text

Artificial Intelligence, Natural Language Processing, Structured Prediction +15

COVID-Net: a tailored deep convolutional neural network design for detection of COVID-19 cases from chest X-ray images

Linda Wang, Zhong Qiu Lin, Alexander Wong · Scientific Reports · 2020 · 3.1K citations · Full text

Automated detection of COVID-19 cases using deep neural networks with X-ray images

Tülin Öztürk, Muhammed Talo, Eylul Azra Yildirim et al. · Computers in Biology and Medicine · 2020 · 2.6K citations · Full text

Deep Neural Networks, Image Analysis, Engineering +14