Diagnosis/Prognosis of COVID-19 Images: Challenges, Opportunities, and
Applications

Diagnosis/Prognosis of COVID-19 Images: Challenges, Opportunities, and Applications

28 December 2020

Arash Mohammadi

Nastaran Enshaei

H. C. R. Oliveira

Svetlana Yanushkevich

Konstantinos N. Plataniotis

Papers citing "Diagnosis/Prognosis of COVID-19 Images: Challenges, Opportunities, and Applications"

5 / 5 papers shown

Title
COVID-Rate: An Automated Framework for Segmentation of COVID-19 Lesions from Chest CT Scans Nastaran Enshaei A. Oikonomou M. Rafiee Parnian Afshar Shahin Heidarian Arash Mohammadi Konstantinos N. Plataniotis F. Naderkhani 16 4 0 04 Jul 2021
GASNet: Weakly-supervised Framework for COVID-19 Lesion Segmentation Zhanwei Xu Yukun Cao Cheng Jin Guozhu Shao Xiaoqing Liu Jie Zhou Heshui Shi Jianjiang Feng MedIm 27 25 0 19 Oct 2020
COVIDX-Net: A Framework of Deep Learning Classifiers to Diagnose COVID-19 in X-Ray Images E. E. Hemdan M. Shouman Mohamed E. Karar 86 1,012 0 24 Mar 2020
Automatic Detection of Coronavirus Disease (COVID-19) Using X-ray Images and Deep Convolutional Neural Networks A. Narin Ceren Kaya Ziynet Pamuk 74 1,761 0 24 Mar 2020
Lung Infection Quantification of COVID-19 in CT Images with Deep Learning F. Shan Yaozong Gao Jun Wang Weiya Shi N. Shi Miaofei Han Zhong Xue D. Shen Yuxin Shi 99 574 0 10 Mar 2020