{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,6]],"date-time":"2026-01-06T18:43:04Z","timestamp":1767724984745,"version":"3.48.0"},"reference-count":49,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"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","award":["U23A20295"],"award-info":[{"award-number":["U23A20295"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82441023"],"award-info":[{"award-number":["82441023"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62131015"],"award-info":[{"award-number":["62131015"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82394432"],"award-info":[{"award-number":["82394432"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Special Fund of Beijing Clinical Key Specialty Construction Program, China, in 2022"},{"name":"China Medical Health Development Foundation, Peking University Third Hospital || United-Imaging Research Institution Intelligential Imaging Joint Research and Development Center Foundation"},{"name":"Key Clinical Project of Peking University Third Hospital","award":["BYSYZD2019038"],"award-info":[{"award-number":["BYSYZD2019038"]}]},{"name":"Key Clinical Project of Peking University Third Hospital","award":["BYSYZD2023016"],"award-info":[{"award-number":["BYSYZD2023016"]}]},{"name":"Key Clinical Project of Peking University Third Hospital","award":["BYSYZD2024005"],"award-info":[{"award-number":["BYSYZD2024005"]}]},{"name":"High Performance Computing (HPC) Platformof ShanghaiTech University"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Med. Imaging"],"published-print":{"date-parts":[[2026,1]]},"DOI":"10.1109\/tmi.2025.3599197","type":"journal-article","created":{"date-parts":[[2025,8,18]],"date-time":"2025-08-18T19:44:07Z","timestamp":1755546247000},"page":"391-405","source":"Crossref","is-referenced-by-count":0,"title":["Hierarchical Contrastive Learning for Precise Whole-Body Anatomical Localization in PET\/CT Imaging"],"prefix":"10.1109","volume":"45","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7547-5209","authenticated-orcid":false,"given":"Yaozong","family":"Gao","sequence":"first","affiliation":[{"name":"Shanghai United Imaging Intelligence Company Ltd., Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-8255-6583","authenticated-orcid":false,"given":"Yiran","family":"Shu","sequence":"additional","affiliation":[{"name":"Shanghai United Imaging Intelligence Company Ltd., Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-1811-2388","authenticated-orcid":false,"given":"Mingyang","family":"Yu","sequence":"additional","affiliation":[{"name":"School of Biomedical Engineering, ShanghaiTech University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-8487-1243","authenticated-orcid":false,"given":"Yanbo","family":"Chen","sequence":"additional","affiliation":[{"name":"Shanghai United Imaging Intelligence Company Ltd., Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1705-3921","authenticated-orcid":false,"given":"Jingyu","family":"Liu","sequence":"additional","affiliation":[{"name":"Shanghai United Imaging Intelligence Company Ltd., Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1648-1489","authenticated-orcid":false,"given":"Shaonan","family":"Zhong","sequence":"additional","affiliation":[{"name":"Department of Nuclear Medicine, The First Affiliated Hospital of Guangzhou Medical University, Yuexiu, Guangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weifang","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Nuclear Medicine, Peking University Third Hospital, Haidian, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yiqiang","family":"Zhan","sequence":"additional","affiliation":[{"name":"Shanghai United Imaging Intelligence Company Ltd., Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiang Sean","family":"Zhou","sequence":"additional","affiliation":[{"name":"Shanghai United Imaging Intelligence Company Ltd., Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xinlu","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Nuclear Medicine, The First Affiliated Hospital of Guangzhou Medical University, Yuexiu, Guangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3727-5943","authenticated-orcid":false,"given":"Meixin","family":"Zhao","sequence":"additional","affiliation":[{"name":"Department of Nuclear Medicine, Peking University Third Hospital, Haidian, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7934-5698","authenticated-orcid":false,"given":"Dinggang","family":"Shen","sequence":"additional","affiliation":[{"name":"Shanghai United Imaging Intelligence Company Ltd., Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3390\/s19173722"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-019-48995-4"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1117\/1.JMI.5.3.036501"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1155\/2021\/9962109"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1148\/ryai.230024"},{"key":"ref6","article-title":"Large-vocabulary segmentation for medical images with text prompts","author":"Zhao","year":"2023","journal-title":"arXiv:2312.17183"},{"key":"ref7","article-title":"Deep learning in multi-organ segmentation","author":"Lei","year":"2020","journal-title":"arXiv:2001.10619"},{"key":"ref8","article-title":"Towards automatic abdominal MRI organ segmentation: Leveraging synthesized data generated from CT labels","author":"Ciausu","year":"2024","journal-title":"arXiv:2403.15609"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.compmedimag.2018.09.008"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00919-9_29"},{"key":"ref11","article-title":"Joint localization and classification of breast tumors on ultrasound images using a novel auxiliary attention-based framework","author":"Fan","year":"2022","journal-title":"arXiv:2210.05762"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2016.79"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1038\/s41592-020-01008-z"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00371"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-024-44824-z"},{"key":"ref17","article-title":"Medical SAM 2: Segment medical images as video via segment anything model 2","author":"Zhu","year":"2024","journal-title":"arXiv:2408.00874"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2019191114"},{"key":"ref19","first-page":"8748","article-title":"Learning transferable visual models from natural language supervision","volume-title":"Proc. Int. Conf. Mach. Learn.","volume":"139","author":"Radford"},{"key":"ref20","first-page":"2","article-title":"Contrastive learning of medical visual representations from paired images and text","volume-title":"Proc. Mach. Learn. Healthcare Conf.","author":"Zhang"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.emnlp-main.256"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20059-5_1"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00391"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19809-0_39"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01934"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/RBME.2024.3408456"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.artmed.2020.101878"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.imu.2023.101273"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-021-11272-6"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/3522747"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/3286606.3286863"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W19-1803"},{"key":"ref33","article-title":"Dia-LLaMA: Towards large language model-driven CT report generation","volume-title":"arXiv:2403.16386","author":"Chen","year":"2024"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/s11280-022-01013-6"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.emnlp-main.480"},{"key":"ref36","article-title":"Developing generalist foundation models from a multimodal dataset for 3D computed tomography","author":"Ethem Hamamci","year":"2024","journal-title":"arXiv:2403.17834"},{"key":"ref37","first-page":"2388","article-title":"Cross-modal contrastive attention model for medical report generation","volume-title":"Proc. 29th Int. Conf. Comput. Linguistics","author":"Song"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2022.3197162"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1023\/B:VISI.0000013087.49260.fb"},{"issue":"86","key":"ref40","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"Maaten","year":"2008","journal-title":"J. Mach. Learn. Res."},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298682"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-022-01718-3"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref45","article-title":"An image is worth 16\u00d716 words: Transformers for image recognition at scale","author":"Dosovitskiy","year":"2020","journal-title":"arXiv:2010.11929"},{"issue":"8","key":"ref46","first-page":"9","article-title":"Language models are unsupervised multitask learners","volume":"1","author":"Radford","year":"2019","journal-title":"OpenAI blog"},{"key":"ref47","article-title":"BiomedCLIP: A multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs","author":"Zhang","year":"2023","journal-title":"arXiv:2303.00915"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.findings-eacl.88"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-43907-0_61"}],"container-title":["IEEE Transactions on Medical Imaging"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/42\/11328978\/11126431.pdf?arnumber=11126431","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,6]],"date-time":"2026-01-06T18:35:54Z","timestamp":1767724554000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11126431\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,1]]},"references-count":49,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tmi.2025.3599197","relation":{},"ISSN":["0278-0062","1558-254X"],"issn-type":[{"type":"print","value":"0278-0062"},{"type":"electronic","value":"1558-254X"}],"subject":[],"published":{"date-parts":[[2026,1]]}}}