7 citations · 11 across the 3 of their papers we have counts for
6 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…
Harnessing the Power of Deep Learning Methods in Healthcare: Neonatal Pain Assessment from Crying Sound
Md Sirajus Salekin, Ghada Zamzmi, Rahul Paul +4
Neonatal pain assessment in clinical environments is challenging as it is discontinuous and biased. Facial/body occlusion can occur in such settings due to clinical condition, deve…
Classifying cooking object's state using a tuned VGG convolutional neural network
Rahul Paul
In robotics, knowing the object states and recognizing the desired states are very important. Objects at different states would require different grasping. To achieve different sta…
Pouring Sequence Prediction using Recurrent Neural Network
Rahul Paul
Human does their daily activity and cooking by teaching and imitating with the help of their vision and understanding of the difference between materials. Teaching a robot to do co…
Make Your Bone Great Again : A study on Osteoporosis Classification
Rahul Paul, Saeed Alahamri, Sulav Malla +1
Osteoporosis can be identified by looking at 2D x-ray images of the bone. The high degree of similarity between images of a healthy bone and a diseased one makes classification a c…