COVID-19 Response

Research Publications on COVID-19

The COVID-19 pandemic continues to have a devastating impact on the health and well-being of the global population. By taking advantage of the research capabilities in big data analytics and deep learning, the team of the CREDIT Center is actively performing research to help support the fight on COVID-19. The following publications are based on our ongoing research works on COVID-19.

Effective COVID-19 Screening using Chest Radiography Images via Deep Learning
Uboho Victor, Xishuang Dong, Xiangfang Li, Pamela Obiomon, and Lijun Qian
PDF full text available here and will continue to be updated on arXiv

Text summarization on CORD-19 Dataset
Joshua Bassey, Xishuang Dong, Xiangfang Li, and Lijun Qian
PDF available soon

Named Entity Recognition using Unsupervised Learning on CORD-19 Dataset
Shanta Chowdhury, Chandra Mouli Kotteti, Joshua Bassey, Xishuang Dong, Xiangfang Li, and Lijun Qian
PDF available soon

Class Project and Student Papers

Research and Studies on COVID-19 has also been included in our student coursework. Some of the students reports can be found below

  • COVID-19 Recognition using Convolutional Neural Network .
  • COVID-19 Recognition on Medical Images using Deep Learning.