output
20142025
most citedArtificial General Intelligence for Medical Imaging Analysis

44 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing eess.IVShow all

2 papers · 1 filter

eess.IV2021★ 39 cited

Cross-Site Severity Assessment of COVID-19 from CT Images via Domain Adaptation

Geng-Xin Xu, Chen Liu, Jun Liu +9

Early and accurate severity assessment of Coronavirus disease 2019 (COVID-19) based on computed tomography (CT) images offers a great help to the estimation of intensive care unit…

eess.IV2021

A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning

Zekun Li, Wei Zhao, Feng Shi +9

How to fast and accurately assess the severity level of COVID-19 is an essential problem, when millions of people are suffering from the pandemic around the world. Currently, the c…