{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,6]],"date-time":"2024-09-06T08:55:34Z","timestamp":1725612934885},"reference-count":20,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,3,28]],"date-time":"2022-03-28T00:00:00Z","timestamp":1648425600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,3,28]],"date-time":"2022-03-28T00:00:00Z","timestamp":1648425600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,3,28]]},"DOI":"10.1109\/isbi52829.2022.9761483","type":"proceedings-article","created":{"date-parts":[[2022,4,26]],"date-time":"2022-04-26T15:39:34Z","timestamp":1650987574000},"page":"1-5","source":"Crossref","is-referenced-by-count":1,"title":["A Label Uncertainty-Guided Multi-Stream Model for Disease Screening"],"prefix":"10.1109","author":[{"given":"Chi","family":"Liu","sequence":"first","affiliation":[{"name":"Sun Yat-sen University,Zhongshan Ophthalmic Center,Guangzhou,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zongyuan","family":"Ge","sequence":"additional","affiliation":[{"name":"Monash University,Monash eResearch Centre,Melbourne,Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mingguang","family":"He","sequence":"additional","affiliation":[{"name":"Sun Yat-sen University,Zhongshan Ophthalmic Center,Guangzhou,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaotong","family":"Han","sequence":"additional","affiliation":[{"name":"Sun Yat-sen University,Zhongshan Ophthalmic Center,Guangzhou,China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4020-8880-3"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.ecolmodel.2008.05.015"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.jid.2018.01.028"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s10278-018-00172-1"},{"key":"ref15","first-page":"1251","article-title":"Xception: Deep learning with depthwise separable convolutions","author":"chollet","year":"2017","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"article-title":"Adam: A method for stochastic optimization","year":"2014","author":"kingma","key":"ref16"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2837012"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32251-9_59"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.308"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.cell.2018.02.010"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.ophtha.2018.01.023"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/S0161-6420(94)31118-3"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.3301590"},{"key":"ref8","first-page":"5281","article-title":"Direct uncertainty prediction for medical second opinions","author":"raghu","year":"2019","journal-title":"International Conference on Machine Learning"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2959209"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2016.17216"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.2337\/dc18-0147"},{"key":"ref9","first-page":"1050","article-title":"Dropout as a bayesian approximation: Representing model uncertainty in deep learning","author":"gal","year":"2016","journal-title":"International Conference on Machine Learning"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"}],"event":{"name":"2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)","start":{"date-parts":[[2022,3,28]]},"location":"Kolkata, India","end":{"date-parts":[[2022,3,31]]}},"container-title":["2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9761376\/9761399\/09761483.pdf?arnumber=9761483","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,27]],"date-time":"2022-06-27T17:07:38Z","timestamp":1656349658000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9761483\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,3,28]]},"references-count":20,"URL":"https:\/\/doi.org\/10.1109\/isbi52829.2022.9761483","relation":{},"subject":[],"published":{"date-parts":[[2022,3,28]]}}}