{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:42:39Z","timestamp":1740102159947,"version":"3.37.3"},"reference-count":14,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,4,18]],"date-time":"2023-04-18T00:00:00Z","timestamp":1681776000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,4,18]],"date-time":"2023-04-18T00:00:00Z","timestamp":1681776000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100005089","name":"Beijing Municipal Natural Science Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100005089","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,4,18]]},"DOI":"10.1109\/isbi53787.2023.10230570","type":"proceedings-article","created":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T17:23:07Z","timestamp":1693588987000},"page":"1-5","source":"Crossref","is-referenced-by-count":0,"title":["MCRLe: Multi-Modal Contrastive Representation Learning For Stroke Onset Time Diagnosis"],"prefix":"10.1109","author":[{"given":"Weibin","family":"Liao","sequence":"first","affiliation":[{"name":"Beijing Institute of Technology,School of Computer Science & Technology,Beijing,China"}]},{"given":"Peirong","family":"Jiang","sequence":"additional","affiliation":[{"name":"Fujian Medical University Union Hospital,Department of Radiology,Fuzhou,China"}]},{"given":"Yi","family":"Lv","sequence":"additional","affiliation":[{"name":"Beijing Institute of Technology,School of Computer Science & Technology,Beijing,China"}]},{"given":"Yunjing","family":"Xue","sequence":"additional","affiliation":[{"name":"Fujian Medical University Union Hospital,Department of Radiology,Fuzhou,China"}]},{"given":"Zhensen","family":"Chen","sequence":"additional","affiliation":[{"name":"Fudan University,Institute of Science and Technology for Brain-Inspired Intelligence,Shanghai,China"}]},{"given":"Xuesong","family":"Li","sequence":"additional","affiliation":[{"name":"Beijing Institute of Technology,School of Computer Science & Technology,Beijing,China"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00685"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00393"},{"key":"ref14","first-page":"618","article-title":"Grad-cam: Visual explanations from deep networks via gradient-based localization","author":"selvaraju","year":"2017","journal-title":"Proceedings of the IEEE International Conference on Computer Vision"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-16452-1_15"},{"key":"ref10","first-page":"728","article-title":"Moco pretraining improves representation and transferability of chest x-ray models","author":"sowrirajan","year":"2021","journal-title":"Medical Imaging with Deep Learning (MIDL)"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2901445"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2021.108036"},{"key":"ref8","first-page":"9729","article-title":"Momentum contrast for unsupervised visual representation learning","author":"he","year":"2020","journal-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3031549"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.3030752"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1161\/STROKEAHA.119.027611"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/S1474-4422(11)70192-2"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3390\/app12062828"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/WACV51458.2022.00181"}],"event":{"name":"2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)","start":{"date-parts":[[2023,4,18]]},"location":"Cartagena, Colombia","end":{"date-parts":[[2023,4,21]]}},"container-title":["2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10230311\/10230322\/10230570.pdf?arnumber=10230570","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,25]],"date-time":"2023-09-25T17:55:12Z","timestamp":1695664512000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10230570\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,4,18]]},"references-count":14,"URL":"https:\/\/doi.org\/10.1109\/isbi53787.2023.10230570","relation":{},"subject":[],"published":{"date-parts":[[2023,4,18]]}}}