{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,27]],"date-time":"2026-03-27T08:37:34Z","timestamp":1774600654266,"version":"3.50.1"},"reference-count":10,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,4,1]],"date-time":"2019-04-01T00:00:00Z","timestamp":1554076800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,4,1]],"date-time":"2019-04-01T00:00:00Z","timestamp":1554076800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,4,1]],"date-time":"2019-04-01T00:00:00Z","timestamp":1554076800000},"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":[[2019,4]]},"DOI":"10.1109\/isbi.2019.8759268","type":"proceedings-article","created":{"date-parts":[[2019,7,11]],"date-time":"2019-07-11T19:58:34Z","timestamp":1562875114000},"page":"443-446","source":"Crossref","is-referenced-by-count":12,"title":["Towards Continuous Domain Adaptation For Medical Imaging"],"prefix":"10.1109","author":[{"given":"Rahul","family":"Venkataramani","sequence":"first","affiliation":[]},{"given":"Hariharan","family":"Ravishankar","sequence":"additional","affiliation":[]},{"given":"Saihareesh","family":"Anamandra","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00934-2_67"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1611835114"},{"key":"ref10","article-title":"Semantic-aware generative adversarial nets for unsupervised domain adaptation in chest x-ray segmentation","author":"chen","year":"2018","journal-title":"arXiv 1806 00600"},{"key":"ref6","first-page":"234","article-title":"U-net: Convolutional networks for biomedical image segmentation in MICCAI","author":"ronneberger","year":"2015","journal-title":"Springer"},{"key":"ref5","article-title":"Learning to remember rare events","author":"kaiser","year":"2017","journal-title":"arXiv preprint arXiv l 703 03129"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.2214\/ajr.174.1.1740071"},{"key":"ref7","article-title":"Two public chest x-ray datasets for computer-aided screening of pulmonary diseases","author":"jaeger","year":"2014","journal-title":"Quant Imaging Med Surg"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-66179-7_59"},{"key":"ref9","first-page":"203","article-title":"Learning and incorporating shape models for semantic segmentation in MICCAI","author":"ravishankar","year":"2017","journal-title":"Springer"},{"key":"ref1","first-page":"597","article-title":"Unsupervised domain adaptation in brain lesion segmentation with adversarial networks in IPMI","author":"kamnitsas","year":"2017","journal-title":"Springer"}],"event":{"name":"2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI)","location":"Venice, Italy","start":{"date-parts":[[2019,4,8]]},"end":{"date-parts":[[2019,4,11]]}},"container-title":["2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8754684\/8759097\/08759268.pdf?arnumber=8759268","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,17]],"date-time":"2022-07-17T17:48:59Z","timestamp":1658080139000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8759268\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,4]]},"references-count":10,"URL":"https:\/\/doi.org\/10.1109\/isbi.2019.8759268","relation":{},"subject":[],"published":{"date-parts":[[2019,4]]}}}