23 citations · 91 across the 17 of their papers we have counts for
4 papers · 1 filter
Few-shot Learning for CT Scan based COVID-19 Diagnosis
Yifan Jiang, Han Chen, David K. Han +1
Coronavirus disease 2019 (COVID-19) is a Public Health Emergency of International Concern infecting more than 40 million people across 188 countries and territories. Chest computed…
Unsupervised domain adaptation based COVID-19 CT infection segmentation network
Han Chen, Yifan Jiang, Murray Loew +1
Automatic segmentation of infection areas in computed tomography (CT) images has proven to be an effective diagnosis approach for COVID-19. However, due to the limited number of pi…
COVID-19 CT Image Synthesis with a Conditional Generative Adversarial Network
Yifan Jiang, Han Chen, Murray Loew +1
Coronavirus disease 2019 (COVID-19) is an ongoing global pandemic that has spread rapidly since December 2019. Real-time reverse transcription polymerase chain reaction (rRT-PCR) a…
NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results
Andreas Lugmayr, Martin Danelljan, Radu Timofte +43
This paper reviews the NTIRE 2020 challenge on real world super-resolution. It focuses on the participating methods and final results. The challenge addresses the real world settin…