{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,26]],"date-time":"2026-01-26T12:42:55Z","timestamp":1769431375126,"version":"3.49.0"},"reference-count":32,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/access.2024.3363637","type":"journal-article","created":{"date-parts":[[2024,2,7]],"date-time":"2024-02-07T18:52:21Z","timestamp":1707331941000},"page":"32859-32869","source":"Crossref","is-referenced-by-count":2,"title":["3D Segmentation of Necrotic Lung Lesions in CT Images Using Self-Supervised Contrastive Learning"],"prefix":"10.1109","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1071-5475","authenticated-orcid":false,"given":"Yiqiao","family":"Liu","sequence":"first","affiliation":[{"name":"Merck & Co., Inc., Rahway, NJ, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sarah","family":"Halek","sequence":"additional","affiliation":[{"name":"Merck & Co., Inc., Rahway, NJ, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Randolph","family":"Crawford","sequence":"additional","affiliation":[{"name":"Merck & Co., Inc., Rahway, NJ, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Keith","family":"Persson","sequence":"additional","affiliation":[{"name":"Merck & Co., Inc., Rahway, NJ, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michal","family":"Tomaszewski","sequence":"additional","affiliation":[{"name":"Merck & Co., Inc., Rahway, NJ, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shubing","family":"Wang","sequence":"additional","affiliation":[{"name":"Merck & Co., Inc., Rahway, NJ, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3330-8477","authenticated-orcid":false,"given":"Richard","family":"Baumgartner","sequence":"additional","affiliation":[{"name":"Merck & Co., Inc., Rahway, NJ, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianda","family":"Yuan","sequence":"additional","affiliation":[{"name":"Merck & Co., Inc., Rahway, NJ, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7310-6146","authenticated-orcid":false,"given":"Gregory","family":"Goldmacher","sequence":"additional","affiliation":[{"name":"Merck & Co., Inc., Rahway, NJ, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-3463-9650","authenticated-orcid":false,"given":"Antong","family":"Chen","sequence":"additional","affiliation":[{"name":"Merck & Co., Inc., Rahway, NJ, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejca.2008.10.026"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/isbi45749.2020.9098561"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1158\/1078-0432.ccr-20-1493"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00937-3_46"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/wacv.2019.00008"},{"key":"ref6","article-title":"Lung tumor segmentation using coupling-net with shape-focused prior on chest CT images of non-small cell lung cancer patients","volume":"1117","author":"Sohyun","year":"2020","journal-title":"Proc. SPIE"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.10.099"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01406"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2022.1004050"},{"key":"ref10","article-title":"Improving contrastive learning on imbalanced seed data via open-world sampling","author":"Jiang","year":"2021","journal-title":"arXiv:2111.01004"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1038\/s41551-022-00914-1"},{"key":"ref12","article-title":"Improved baselines with momentum contrastive learning","author":"Chen","year":"2020","journal-title":"arXiv:2003.04297"},{"key":"ref13","article-title":"Momentum contrast for unsupervised visual representation learning","author":"He","year":"2019","journal-title":"arXiv:1911.05722"},{"key":"ref14","article-title":"Bootstrap your own latent: A new approach to self-supervised learning","author":"Grill","year":"2020","journal-title":"arXiv:2006.07733"},{"key":"ref15","article-title":"Self-supervised learning is more robust to dataset imbalance","author":"Liu","year":"2021","journal-title":"arXiv:2110.05025"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87196-3_21"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00331"},{"key":"ref18","article-title":"Spatiotemporal contrastive video representation learning","author":"Qian","year":"2020","journal-title":"arXiv:2008.03800"},{"key":"ref19","article-title":"Self-supervised co-training for video representation learning","author":"Han","year":"2020","journal-title":"arXiv:2010.09709"},{"key":"ref20","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":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/tmi.2021.3139999"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/FG52635.2021.9666792"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1117\/1.jmi.5.3.036501"},{"key":"ref24","article-title":"High-resolution representations for labeling pixels and regions","author":"Sun","year":"2019","journal-title":"arXiv:1904.04514"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1038\/s41592-020-01008-z"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2020.2983686"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87196-3_48"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/s1470-2045(23)00061-x"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.bbe.2021.08.010"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-019-0197-0"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/s1076-6332(03)00671-8"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/34.232073"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/10380310\/10423778.pdf?arnumber=10423778","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,8]],"date-time":"2024-03-08T02:24:08Z","timestamp":1709864648000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10423778\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":32,"URL":"https:\/\/doi.org\/10.1109\/access.2024.3363637","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}