{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,8]],"date-time":"2026-03-08T01:41:26Z","timestamp":1772934086478,"version":"3.50.1"},"reference-count":34,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,12,8]],"date-time":"2025-12-08T00:00:00Z","timestamp":1765152000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,12,8]],"date-time":"2025-12-08T00:00:00Z","timestamp":1765152000000},"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":["82220108007"],"award-info":[{"award-number":["82220108007"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100007300","name":"China Medical University, China","doi-asserted-by":"publisher","award":["2022PS433K"],"award-info":[{"award-number":["2022PS433K"]}],"id":[{"id":"10.13039\/501100007300","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,12,8]]},"DOI":"10.1109\/bigdata66926.2025.11402367","type":"proceedings-article","created":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T20:57:57Z","timestamp":1772830677000},"page":"8116-8125","source":"Crossref","is-referenced-by-count":0,"title":["KTD-Net: A Synergistic Diffusion Framework with Gated Knowledge-Transfer Transformer for Abdominal Multi-Organ Segmentation in CT Images"],"prefix":"10.1109","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-6943-6910","authenticated-orcid":false,"given":"Kang","family":"Fu","sequence":"first","affiliation":[{"name":"Northeastern University,China,Shenyang,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9929-8115","authenticated-orcid":false,"given":"Tao","family":"Jiang","sequence":"additional","affiliation":[{"name":"Chengdu University of Traditional Chinese Medicine,China,Chengdu,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-0129-7669","authenticated-orcid":false,"given":"Lingling","family":"Yuan","sequence":"additional","affiliation":[{"name":"Northeastern University,China,Shenyang,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-3656-1870","authenticated-orcid":false,"given":"Jinkui","family":"Li","sequence":"additional","affiliation":[{"name":"Northeastern University,China,Shenyang,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-7479-9010","authenticated-orcid":false,"given":"Xueyan","family":"Bai","sequence":"additional","affiliation":[{"name":"Northeastern University,China,Shenyang,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-2283-807X","authenticated-orcid":false,"given":"Ruiheng","family":"Li","sequence":"additional","affiliation":[{"name":"Northeastern University,China,Shenyang,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4877-8287","authenticated-orcid":false,"given":"Marcin","family":"Grzegorzek","sequence":"additional","affiliation":[{"name":"University of Luebeck, Germany,Schleswig-Holstein,Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4724-5828","authenticated-orcid":false,"given":"Hongzan","family":"Sun","sequence":"additional","affiliation":[{"name":"Shengjing Hospital of China Medical University,China,Shenyang,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1545-8885","authenticated-orcid":false,"given":"Chen","family":"Li","sequence":"additional","affiliation":[{"name":"Northeastern University,China,Shenyang,China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","volume-title":"Obesity and overweight","year":"2025"},{"key":"ref2","article-title":"Metabolic syndrome","volume-title":"StatPearls","author":"Swarup","year":"2024"},{"issue":"1","key":"ref3","first-page":"1","article-title":"Metabolic syndrome","volume":"1","year":"2024","journal-title":"NonCommunicable Diseases Watch"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1097\/med.0b013e3283514e13"},{"key":"ref5","article-title":"Metabolic dysfunction-associated steatotic liver disease (MASLD)","volume-title":"StatPearls","author":"Girish","year":"2025"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46723-8_49"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00889-5_1"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87199-4_16"},{"key":"ref10","article-title":"TransUNet: transformers make strong encoders for medical image segmentation","author":"Chen","year":"2021","journal-title":"arXiv preprint"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-25066-8_9"},{"key":"ref12","first-page":"6840","article-title":"Denoising diffusion probabilistic models","volume":"33","author":"Ho","year":"2020","journal-title":"Proc. Advances in Neural Information Processing Systems"},{"key":"ref13","article-title":"SegDiff: Image Segmentation with Diffusion Probabilistic Models","author":"Amit","year":"2021","journal-title":"arXiv preprint"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.5114\/pjr.2023.131010"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.47717\/turkjsurg.2020.4877"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-96-0840-9_11"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/bigdata62323.2024.10825826"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/bibm62325.2024.10821733"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2018181432"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.2214\/ajr.20.23049"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-96-2528-4_12"},{"key":"ref22","article-title":"U-Mamba: enhancing long-range dependency for biomedical image segmentation","author":"Ma","year":"2024","journal-title":"arXiv preprint"},{"key":"ref23","article-title":"MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic Model","author":"Wu","year":"2022","journal-title":"arXiv preprint"},{"key":"ref24","article-title":"MedSegDiff-V2: Diffusion based Medical Image Segmentation with Transformer","author":"Wu","year":"2023","journal-title":"arXiv preprint"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/tmi.2024.3424471"},{"key":"ref26","article-title":"Rethinking atrous convolution for semantic image segmentation","author":"Chen","year":"2017","journal-title":"arXiv preprint"},{"key":"ref27","article-title":"Deep residual learning for image recognition","author":"He","year":"2015","journal-title":"arXiv preprint"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-43901-8_47"},{"key":"ref29","article-title":"An Image is Worth 16\u00d716 Words: Transformers for Image Recognition at Scale","author":"Dosovitskiy","journal-title":"arXiv preprint"},{"key":"ref30","article-title":"Cross-Attention is Not Always Needed: Dynamic Cross-Attention for Audio-Visual Dimensional Emotion Recognition","author":"Praveen","year":"2024","journal-title":"arXiv preprint"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr52729.2023.02321"},{"key":"ref32","article-title":"Scalable diffusion models with transformers","author":"Peebles","year":"2022","journal-title":"arXiv preprint"},{"key":"ref33","article-title":"Denoising diffusion implicit models","author":"Song","journal-title":"arXiv preprint"},{"key":"ref34","article-title":"Diffusion models for implicit image segmentation ensembles","author":"Wolleb","year":"2021","journal-title":"arXiv preprint"}],"event":{"name":"2025 IEEE International Conference on Big Data (BigData)","location":"Macau, China","start":{"date-parts":[[2025,12,8]]},"end":{"date-parts":[[2025,12,11]]}},"container-title":["2025 IEEE International Conference on Big Data (BigData)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11400704\/11400712\/11402367.pdf?arnumber=11402367","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T06:59:22Z","timestamp":1772866762000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11402367\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12,8]]},"references-count":34,"URL":"https:\/\/doi.org\/10.1109\/bigdata66926.2025.11402367","relation":{},"subject":[],"published":{"date-parts":[[2025,12,8]]}}}