7 citations · 9 across the 2 of their papers we have counts for
3 papers
Deep Learning Models May Spuriously Classify Covid-19 from X-ray Images Based on Confounders
Kaoutar Ben Ahmed, Lawrence O. Hall, Dmitry B. Goldgof +2
Identifying who is infected with the Covid-19 virus is critical for controlling its spread. X-ray machines are widely available worldwide and can quickly provide images that can be…
Finding Covid-19 from Chest X-rays using Deep Learning on a Small Dataset
Lawrence O. Hall, Rahul Paul, Dmitry B. Goldgof +1
Testing for COVID-19 has been unable to keep up with the demand. Further, the false negative rate is projected to be as high as 30% and test results can take some time to obtain. X…
Iterative Deep Learning Based Unbiased Stereology With Human-in-the-Loop
Saeed S. Alahmari, Dmitry Goldgof, Lawrence O. Hall +3
Lack of enough labeled data is a major problem in building machine learning based models when the manual annotation (labeling) is error-prone, expensive, tedious, and time-consumin…