2 citations · 4 across the 2 of their papers we have counts for
3 papers
CXR-Net: An Artificial Intelligence Pipeline for Quick Covid-19 Screening of Chest X-Rays
Haikal Abdulah, Benjamin Huber, Sinan Lal +4
CXR-Net is a two-module Artificial Intelligence pipeline for the quick detection of SARS-CoV-2 from chest X-rays (CXRs). Module 1 was trained on a public dataset of 6395 CXRs with…
Lung Segmentation in Chest X-rays with Res-CR-Net
Haikal Abdulah, Benjamin Huber, Sinan Lal +3
Deep Neural Networks (DNN) are widely used to carry out segmentation tasks in biomedical images. Most DNNs developed for this purpose are based on some variation of the encoder-dec…
Res-CR-Net, a residual network with a novel architecture optimized for the semantic segmentation of microscopy images
Hassan Abdallah, Asiri Liyanaarachchi, Maranda Saigh +6
Deep Neural Networks (DNN) have been widely used to carry out segmentation tasks in both electron and light microscopy. Most DNNs developed for this purpose are based on some varia…