{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:09:10Z","timestamp":1740100150362,"version":"3.37.3"},"reference-count":19,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,6,23]],"date-time":"2021-06-23T00:00:00Z","timestamp":1624406400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,6,23]],"date-time":"2021-06-23T00:00:00Z","timestamp":1624406400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-009"},{"start":{"date-parts":[[2021,6,23]],"date-time":"2021-06-23T00:00:00Z","timestamp":1624406400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-001"}],"funder":[{"DOI":"10.13039\/501100004252","name":"Qatar University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004252","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,6,23]]},"DOI":"10.1109\/euvip50544.2021.9484001","type":"proceedings-article","created":{"date-parts":[[2021,7,20]],"date-time":"2021-07-20T20:33:18Z","timestamp":1626813198000},"page":"1-6","source":"Crossref","is-referenced-by-count":0,"title":["Machine Learning Screening of COVID-19 Patients Based on X-ray Images for Imbalanced Classes"],"prefix":"10.1109","author":[{"given":"Ilyes","family":"Mrad","sequence":"first","affiliation":[]},{"given":"Ridha","family":"Hamila","sequence":"additional","affiliation":[]},{"given":"Aiman","family":"Erbad","sequence":"additional","affiliation":[]},{"given":"Tahir","family":"Hamid","sequence":"additional","affiliation":[]},{"given":"Rashid","family":"Mazhar","sequence":"additional","affiliation":[]},{"given":"Nasser","family":"Al-Emadi","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.crad.2018.12.015"},{"year":"0","key":"ref11","article-title":"Resnet, alexnet, vggnet, inception: Understanding various architectures of convolutional networks"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0235187"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"journal-title":"Covid-19 Database of Italian Society of Medical and Interventional Radiology","year":"0","key":"ref14"},{"key":"ref15","doi-asserted-by":"crossref","DOI":"10.59275\/j.melba.2020-48g7","article-title":"Covid-19 image data collection: Prospective predictions are the future","author":"cohen","year":"2020"},{"journal-title":"COVID-19 CXR database","year":"0","key":"ref16"},{"journal-title":"Chest X-ray images database of Covid-19 Pneumonia cases Radiopedia","year":"0","key":"ref17"},{"journal-title":"(pneumonia and normal cases","year":"0","key":"ref18"},{"article-title":"Densenet: Implementing efficient convnet descriptor pyramids","year":"2014","author":"iandola","key":"ref19"},{"key":"ref4","doi-asserted-by":"crossref","DOI":"10.1056\/NEJMoa2001191","article-title":"First case of 2019 novel coronavirus in the united states","author":"holshue","year":"2020","journal-title":"New England Journal of Medicine"},{"key":"ref3","doi-asserted-by":"crossref","DOI":"10.1109\/ACCESS.2020.3010287","article-title":"Can ai help in screening viral and covid-19 pneumonia?","author":"chowdhury","year":"2020"},{"key":"ref6","doi-asserted-by":"crossref","DOI":"10.1038\/s41598-020-76550-z","article-title":"Covid-net: A tailored deep convolutional neural network design for detection of covid-19 cases from chest x-ray images","author":"wang","year":"2020"},{"key":"ref5","article-title":"A deep learning algorithm using ct images to screen for corona virus disease (covid-19)","author":"wang","year":"2020","journal-title":"medRxiv"},{"article-title":"Covid-19 classification in x-ray chest images using a new convolutional neural network: Cnn-covid","year":"2020","author":"de sousa","key":"ref8"},{"journal-title":"Using Deep Learning to Detect Pneumonia Caused by NCOV-19 From X-Ray Images","year":"0","author":"joaquin","key":"ref7"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2020.3786"},{"journal-title":"WHO Director-General's opening remarks at the media briefing on COVID-19-11 March 2020","year":"2020","key":"ref1"},{"article-title":"Real-time pcg anomaly detection by adaptive 1d convolutional neural networks","year":"2019","author":"kiranyaz","key":"ref9"}],"event":{"name":"2021 9th European Workshop on Visual Information Processing (EUVIP)","start":{"date-parts":[[2021,6,23]]},"location":"Paris, France","end":{"date-parts":[[2021,6,25]]}},"container-title":["2021 9th European Workshop on Visual Information Processing (EUVIP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9483885\/9483956\/09484001.pdf?arnumber=9484001","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,6]],"date-time":"2023-11-06T08:18:47Z","timestamp":1699258727000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9484001\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,6,23]]},"references-count":19,"URL":"https:\/\/doi.org\/10.1109\/euvip50544.2021.9484001","relation":{},"subject":[],"published":{"date-parts":[[2021,6,23]]}}}