{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,14]],"date-time":"2026-04-14T01:59:37Z","timestamp":1776131977949,"version":"3.50.1"},"reference-count":54,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2021,6,1]],"date-time":"2021-06-01T00:00:00Z","timestamp":1622505600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Biomed. Health Inform."],"published-print":{"date-parts":[[2021,6]]},"DOI":"10.1109\/jbhi.2021.3069798","type":"journal-article","created":{"date-parts":[[2021,3,31]],"date-time":"2021-03-31T19:26:11Z","timestamp":1617218771000},"page":"1852-1863","source":"Crossref","is-referenced-by-count":31,"title":["Automated Detection of COVID-19 Cases on Radiographs using Shape-Dependent Fibonacci-p Patterns"],"prefix":"10.1109","volume":"25","author":[{"given":"Karen","family":"Panetta","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2334-7053","authenticated-orcid":false,"given":"Foram","family":"Sanghavi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4601-4507","authenticated-orcid":false,"given":"Sos","family":"Agaian","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Neel","family":"Madan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1117\/1.JEI.26.5.053017"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1117\/12.766591"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCC.2011.2118750"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1117\/1.JEI.27.4.043024"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2020.105532"},{"key":"ref30","article-title":"Covid-resnet: A deep learning framework for screening of covid19 from radiographs","author":"farooq","year":"2020"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/78.365308"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/0165-1684(94)00093-F"},{"key":"ref35","article-title":"Application of local binary pattern and human visual fibonacci texture features for classification different medical images","author":"sanghavi","year":"2017","journal-title":"Proc Mobile Multimedia\/Image Process Secur Appl"},{"key":"ref34","article-title":"Automated system for skin cancer classification","author":"suhas","year":"2015"},{"key":"ref28","article-title":"Automatic detection of coronavirus disease (covid-19) using X-ray images and deep convolutional neural networks","author":"narin","year":"2020"},{"key":"ref27","article-title":"A deep convolutional neural network for COVID-19 detection using chest X-Rays","author":"bassi","year":"2020"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/s13246-020-00865-4"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3010287"},{"key":"ref1","article-title":"WHO director-general's opening remarks at the media briefing on COVID-19 - March 11 2020","year":"0"},{"key":"ref20","doi-asserted-by":"crossref","first-page":"957","DOI":"10.3390\/s20040957","article-title":"A systematic approach to the design and characterization of a smart insole for detecting vertical ground reaction force (vGRF) in gait analysis","volume":"20","author":"tahir","year":"2020","journal-title":"SENSORS"},{"key":"ref22","doi-asserted-by":"crossref","DOI":"10.3390\/s19122780","article-title":"Wearable real-time heart attack detection and warning system to reduce road accidents","volume":"19","author":"chowdhury","year":"2019","journal-title":"SENSORS"},{"key":"ref21","doi-asserted-by":"crossref","DOI":"10.3390\/s19122781","article-title":"Real-Time smart-digital stethoscope system for heart diseases monitoring","volume":"19","author":"chowdhury","year":"2019","journal-title":"SENSORS"},{"key":"ref24","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 radiography images","author":"wang","year":"2020"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.crad.2018.12.015"},{"key":"ref26","article-title":"Covidx-net: A framework of deep learning classifiers to diagnose covid-19 in X-ray images","author":"hemdan","year":"2020"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2020.103792"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1111\/j.1751-5823.2012.00183.x"},{"key":"ref51","article-title":"A critic evaluation of methods for covid-19 automatic detection from X-ray images","author":"maguolo","year":"2020"},{"key":"ref54","article-title":"COVID-19 image data collection","author":"dao","year":"0"},{"key":"ref53","first-page":"136","article-title":"On the limits of cross-domain generalization in automated X-ray prediction","author":"cohen","year":"2020","journal-title":"Medical Imaging with Deep Learning (MIDL)"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2020.3037127"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2020.1585"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(20)30211-7"},{"key":"ref40","article-title":"COVID-19 database","author":"radiology","year":"0"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(20)30183-5"},{"key":"ref13","doi-asserted-by":"crossref","DOI":"10.1056\/NEJMoa2001316","article-title":"Early transmission dynamics in wuhan, china, of novel coronavirus–infected pneumonia","author":"li","year":"2020","journal-title":"New England J Med"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.2807\/1560-7917.ES.2020.25.3.2000045"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1093\/clinchem\/hvaa029"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2020200230"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.2214\/AJR.20.22969"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.2214\/AJR.20.23034"},{"key":"ref19","article-title":"Imaging profile of the COVID-19 infection: Radiologic findings and literature review","volume":"2","author":"ng","year":"2020","journal-title":"Radiol Cardiothoracic Imag"},{"key":"ref4","article-title":"Centers for disease control prevention","year":"0"},{"key":"ref3","article-title":"WHO corona virus (Covid-19) situation reports-189","year":"0"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2020200642"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2020200527"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2020.3786"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2020200432"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1093\/bjaceaccp\/mkn041"},{"key":"ref9","article-title":"Automatic detection of COVID-19 using X-ray images with deep convolutional neural networks and machine learning","author":"asif","year":"2020"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.4310\/SII.2009.v2.n3.a8"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1080\/01431160412331269698"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/21.97458"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/S0167-9473(01)00065-2"},{"key":"ref42","article-title":"Chest X-Ray images (Pneumonia)","author":"mooney","year":"2018"},{"key":"ref41","article-title":"COVID-19 image data collection","author":"dao","year":"0"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.4249\/scholarpedia.1883"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1145\/130385.130401"}],"container-title":["IEEE Journal of Biomedical and Health Informatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6221020\/9446651\/09391988.pdf?arnumber=9391988","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,26]],"date-time":"2022-01-26T10:38:43Z","timestamp":1643193523000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9391988\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,6]]},"references-count":54,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/jbhi.2021.3069798","relation":{},"ISSN":["2168-2194","2168-2208"],"issn-type":[{"value":"2168-2194","type":"print"},{"value":"2168-2208","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,6]]}}}