{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,20]],"date-time":"2025-10-20T10:28:30Z","timestamp":1760956110440,"version":"3.37.3"},"reference-count":18,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,6,6]],"date-time":"2021-06-06T00:00:00Z","timestamp":1622937600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,6,6]],"date-time":"2021-06-06T00:00:00Z","timestamp":1622937600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-009"},{"start":{"date-parts":[[2021,6,6]],"date-time":"2021-06-06T00:00:00Z","timestamp":1622937600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-001"}],"funder":[{"DOI":"10.13039\/100006190","name":"Research and Development","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100006190","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,6,6]]},"DOI":"10.1109\/icassp39728.2021.9413707","type":"proceedings-article","created":{"date-parts":[[2021,5,13]],"date-time":"2021-05-13T19:53:45Z","timestamp":1620935625000},"page":"8563-8567","source":"Crossref","is-referenced-by-count":8,"title":["Diagnosing Covid-19 from CT Images Based on an Ensemble Learning Framework"],"prefix":"10.1109","author":[{"given":"Bingyang","family":"Li","sequence":"first","affiliation":[]},{"given":"Qi","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Yinan","family":"Song","sequence":"additional","affiliation":[]},{"given":"Zhicheng","family":"Zhao","sequence":"additional","affiliation":[]},{"given":"Zhu","family":"Meng","sequence":"additional","affiliation":[]},{"given":"Fei","family":"Su","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1006\/jcss.1997.1504"},{"key":"ref11","first-page":"6105","article-title":"Efficientnet: Re-thinking model scaling for convolutional neural networks","author":"tan","year":"2019","journal-title":"International Conference on Machine Learning"},{"key":"ref12","doi-asserted-by":"crossref","first-page":"248","DOI":"10.1109\/CVPR.2009.5206848","article-title":"Imagenet: A large-scale hierarchical image database","author":"deng","year":"2009","journal-title":"2009 IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref13","first-page":"281","article-title":"Some methods for classification and analysis of multivariate observations","volume":"1","author":"macqueen","year":"1967","journal-title":"Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability"},{"key":"ref14","article-title":"Pytorch: An imperative style, high-performance deep learning library","author":"paszke","year":"2019","journal-title":"arXiv preprint arXiv 1912 01703"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.4310\/SII.2009.v2.n3.a8"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref17","first-page":"7132","article-title":"Squeeze-and-excitation networks","author":"hu","year":"2018","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref18","doi-asserted-by":"crossref","DOI":"10.1609\/aaai.v31i1.11231","article-title":"Inception-v4, inception-resnet and the impact of residual connections on learning","volume":"31","author":"szegedy","year":"2017","journal-title":"Proceedings of the AAAI Conference on Artificial Intelligence"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2020200905"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2020200432"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.2996256"},{"key":"ref5","first-page":"5v","article-title":"A deep learning algorithm using ct images to screen for corona virus disease (covid-19). medrxiv","volume":"14","author":"wang","year":"2020","journal-title":"Preprint"},{"article-title":"Fixmatch: Simplifying semi-supervised learning with consistency and confidence","year":"2020","author":"sohn","key":"ref8"},{"article-title":"COVID-CT-MD: COVID-19 Computed Tomography (CT) Scan Dataset Applicable in Machine Learning and Deep Learning","year":"2020","author":"afshar","key":"ref7"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"32e","DOI":"10.1148\/radiol.2020200642","article-title":"Correlation of chest ct and rt-pcr testing for coronavirus disease 2019 (covid-19) in china: a report of 1014 cases","volume":"296","author":"ai","year":"2020","journal-title":"Radiology"},{"key":"ref1","doi-asserted-by":"crossref","first-page":"41e","DOI":"10.1148\/radiol.2020200343","article-title":"Chest ct for typical coronavirus disease 2019 (covid-19) pneumonia: relationship to negative rt-pcr testing","volume":"296","author":"xie","year":"2020","journal-title":"Radiology"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW50498.2020.00359"}],"event":{"name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","start":{"date-parts":[[2021,6,6]]},"location":"Toronto, ON, Canada","end":{"date-parts":[[2021,6,11]]}},"container-title":["ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9413349\/9413350\/09413707.pdf?arnumber=9413707","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,27]],"date-time":"2022-12-27T08:32:13Z","timestamp":1672129933000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9413707\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,6,6]]},"references-count":18,"URL":"https:\/\/doi.org\/10.1109\/icassp39728.2021.9413707","relation":{},"subject":[],"published":{"date-parts":[[2021,6,6]]}}}