{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,29]],"date-time":"2026-01-29T20:55:31Z","timestamp":1769720131403,"version":"3.49.0"},"reference-count":61,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"11","license":[{"start":{"date-parts":[[2022,11,1]],"date-time":"2022-11-01T00:00:00Z","timestamp":1667260800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,11,1]],"date-time":"2022-11-01T00:00:00Z","timestamp":1667260800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,11,1]],"date-time":"2022-11-01T00:00:00Z","timestamp":1667260800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62088102"],"award-info":[{"award-number":["62088102"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62072009"],"award-info":[{"award-number":["62072009"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Beijing Nova Programunder","award":["Z201100006820064"],"award-info":[{"award-number":["Z201100006820064"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Med. Imaging"],"published-print":{"date-parts":[[2022,11]]},"DOI":"10.1109\/tmi.2022.3186677","type":"journal-article","created":{"date-parts":[[2022,6,29]],"date-time":"2022-06-29T19:42:51Z","timestamp":1656531771000},"page":"3398-3410","source":"Crossref","is-referenced-by-count":11,"title":["Contrastive and Selective Hidden Embeddings for Medical Image Segmentation"],"prefix":"10.1109","volume":"41","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4044-2172","authenticated-orcid":false,"given":"Zihao","family":"Liu","sequence":"first","affiliation":[{"name":"Advanced Institute of Information Technology, Peking University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9400-9900","authenticated-orcid":false,"given":"Zhuowei","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Rutgers University, New Brunswick, NJ, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhiqiang","family":"Hu","sequence":"additional","affiliation":[{"name":"SenseTime Research, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qing","family":"Xia","sequence":"additional","affiliation":[{"name":"SenseTime Research, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9796-0478","authenticated-orcid":false,"given":"Ruiqin","family":"Xiong","sequence":"additional","affiliation":[{"name":"National Engineering Research Center of Visual Technology, School of Computer Science, Peking University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shaoting","family":"Zhang","sequence":"additional","affiliation":[{"name":"SenseTime Research, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5372-0656","authenticated-orcid":false,"given":"Tingting","family":"Jiang","sequence":"additional","affiliation":[{"name":"Advanced Institute of Information Technology, Peking University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2016.10.004"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00487"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58621-8_45"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00975"},{"key":"ref5","first-page":"1597","article-title":"A simple framework for contrastive learning of visual representations","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Chen"},{"key":"ref6","article-title":"Bootstrap your own latent: A new approach to self-supervised learning","author":"Grill","year":"2020","journal-title":"arXiv:2006.07733"},{"key":"ref7","article-title":"Prototypical contrastive learning of unsupervised representations","author":"Li","year":"2020","journal-title":"arXiv:2005.04966"},{"key":"ref8","article-title":"Unsupervised learning of visual features by contrasting cluster assignments","author":"Caron","year":"2020","journal-title":"arXiv:2006.09882"},{"key":"ref9","article-title":"Exploring simple Siamese representation learning","author":"Chen","year":"2020","journal-title":"arXiv:2011.10566"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref11","first-page":"18661","article-title":"Supervised contrastive learning","volume-title":"Proc. 34th Int. Conf. Neural Inf. Process. Syst.","author":"Khosla"},{"key":"ref12","article-title":"Self-paced contrastive learning for semi-supervised medical image segmentation with meta-labels","author":"Peng","year":"2021","journal-title":"arXiv:2107.13741"},{"key":"ref13","article-title":"Contrastive learning of medical visual representations from paired images and text","author":"Zhang","year":"2020","journal-title":"arXiv:2010.00747"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.23915\/distill.00021"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1802.02611"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00874"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33011085"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33015909"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.6175"},{"key":"ref22","article-title":"nnU-Net: Self-adapting framework for U-Net-based medical image segmentation","author":"Isensee","year":"2018","journal-title":"arXiv:1809.10486"},{"key":"ref23","article-title":"Contrastive learning of global and local features for medical image segmentation with limited annotations","author":"Chaitanya","year":"2020","journal-title":"arXiv:2006.10511"},{"key":"ref24","article-title":"On mutual information in contrastive learning for visual representations","author":"Wu","year":"2020","journal-title":"arXiv:2005.13149"},{"key":"ref25","first-page":"3821","article-title":"Dissecting supervised constrastive learning","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Graf"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01045"},{"key":"ref27","article-title":"What uncertainties do we need in Bayesian deep learning for computer vision?","author":"Kendall","year":"2017","journal-title":"arXiv:1703.04977"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-66179-7_46"},{"key":"ref29","first-page":"6965","article-title":"A probabilistic U-net for segmentation of ambiguous images","volume-title":"Proc. 32nd Int. Conf. Neural Inf. Process. Syst.","author":"Kohl"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32245-8_67"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32245-8_6"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00350"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00908"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298642"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1002\/j.1538-7305.1948.tb01338.x"},{"key":"ref36","article-title":"Skin lesion analysis toward melanoma detection: A challenge at the international symposium on biomedical imaging (ISBI) 2016, hosted by the international skin imaging collaboration (ISIC)","author":"Gutman","year":"2016","journal-title":"arXiv:1605.01397"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2013.6610779"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2018.8363547"},{"issue":"6","key":"ref39","first-page":"475","article-title":"Two public chest X-ray datasets for computer-aided screening of pulmonary diseases","volume":"4","author":"Jaeger","year":"2014","journal-title":"Quant. Imag. Med. Surg."},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-20351-1_66"},{"key":"ref41","article-title":"A large annotated medical image dataset for the development and evaluation of segmentation algorithms","author":"Simpson","year":"2019","journal-title":"arXiv:1902.09063"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2016.7493448"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2017.2695227"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00937-3_84"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2015.7319025"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2017.2712771"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2018.08.001"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2017.2787487"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00934-2_3"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2791488"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.2972964"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.273"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2955297"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32239-7_49"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32248-9_35"},{"key":"ref56","article-title":"Multi-scale context aggregation by dilated convolutions","author":"Yu","year":"2015","journal-title":"arXiv:1511.07122"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32248-9_25"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59710-8_37"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_1"},{"issue":"86","key":"ref61","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"van der Maaten","year":"2008","journal-title":"J. Mach. Learn. Res."}],"container-title":["IEEE Transactions on Medical Imaging"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/42\/9931396\/09810855.pdf?arnumber=9810855","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,24]],"date-time":"2024-01-24T03:45:21Z","timestamp":1706067921000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9810855\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,11]]},"references-count":61,"journal-issue":{"issue":"11"},"URL":"https:\/\/doi.org\/10.1109\/tmi.2022.3186677","relation":{},"ISSN":["0278-0062","1558-254X"],"issn-type":[{"value":"0278-0062","type":"print"},{"value":"1558-254X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,11]]}}}