{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:04:01Z","timestamp":1772323441451,"version":"3.50.1"},"reference-count":38,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,6,30]],"date-time":"2024-06-30T00:00:00Z","timestamp":1719705600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,6,30]],"date-time":"2024-06-30T00:00:00Z","timestamp":1719705600000},"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"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,6,30]]},"DOI":"10.1109\/ijcnn60899.2024.10650985","type":"proceedings-article","created":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T17:35:05Z","timestamp":1725903305000},"page":"1-8","source":"Crossref","is-referenced-by-count":3,"title":["CLCT-GAN: Strong-Weak Contrastive Learning for Reconstructing CT Images from Radiographs"],"prefix":"10.1109","author":[{"given":"Shuangqin","family":"Cheng","sequence":"first","affiliation":[{"name":"Jinan University,School of Information Science and Technology,Guangzhou,China"}]},{"given":"Yumao","family":"Hong","sequence":"additional","affiliation":[{"name":"Jinan University,School of Information Science and Technology,Guangzhou,China"}]},{"given":"Qingliang","family":"Chen","sequence":"additional","affiliation":[{"name":"Jinan University,School of Information Science and Technology,Guangzhou,China"}]},{"given":"Jinshun","family":"Guo","sequence":"additional","affiliation":[{"name":"Guangdong Second People&#x2019;s Hospital,Department of Interventional Vascular Medicine,Guangzhou,China"}]},{"given":"Ming","family":"Li","sequence":"additional","affiliation":[{"name":"Jinan University,School of Information Science and Technology,Guangzhou,China"}]},{"given":"Qiyi","family":"Zhang","sequence":"additional","affiliation":[{"name":"Jinan University,School of Information Science and Technology,Guangzhou,China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1038\/s41591-023-02620-0"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.221257"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1055\/a-1248-2556"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-021-97226-2"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46466-4_2"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.13369"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1038\/s41551-019-0466-4"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2022.105710"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01087"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI48211.2021.9433870"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2022.3201390"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1108\/JIMSE-10-2021-0035"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-023-10399-2"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3032602"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2021.3111485"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00328"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.730"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-018-1082-6"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46484-8_45"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.compmedimag.2021.101953"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-61598-7_12"},{"key":"ref22","first-page":"1597","article-title":"A simple framework for contrastive learning of visual representations","volume-title":"International conference on machine learning","author":"Chen"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00975"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00674"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3125324"},{"key":"ref26","first-page":"728","article-title":"Moco pretraining improves representation and transferability of chest x-ray models","volume-title":"Medical Imaging with Deep Learning.","author":"Sowrirajan","year":"2021"},{"key":"ref27","article-title":"COVID-19 prognosis via self-supervised representation learning and multi-image prediction","volume-title":"CoRR","author":"Sriram","year":"2021"},{"key":"ref28","first-page":"2","article-title":"Contrastive learning of medical visual representations from paired images and text","volume-title":"Machine Learning for Healthcare Conference","author":"Zhang"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19809-0_39"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2023.106803"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/s12652-022-04398-4"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.632"},{"key":"ref34","article-title":"The ixi dataset"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3065086"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.369"},{"key":"ref37","article-title":"Improved baselines with momentum contrastive learning","volume-title":"CoRR","author":"Chen","year":"2020"},{"key":"ref38","first-page":"2352","article-title":"Time-series representation learning via temporal and contextual contrasting","volume-title":"IJCAI 2021, Virtual Event \/ Montreal, Canada,19-27 August 2021","author":"Eldele"}],"event":{"name":"2024 International Joint Conference on Neural Networks (IJCNN)","location":"Yokohama, Japan","start":{"date-parts":[[2024,6,30]]},"end":{"date-parts":[[2024,7,5]]}},"container-title":["2024 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10649807\/10649898\/10650985.pdf?arnumber=10650985","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,10]],"date-time":"2024-09-10T06:22:12Z","timestamp":1725949332000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10650985\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,30]]},"references-count":38,"URL":"https:\/\/doi.org\/10.1109\/ijcnn60899.2024.10650985","relation":{},"subject":[],"published":{"date-parts":[[2024,6,30]]}}}