{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T07:09:20Z","timestamp":1779347360820,"version":"3.51.4"},"reference-count":16,"publisher":"IEEE","license":[{"start":{"date-parts":[[2026,4,8]],"date-time":"2026-04-08T00:00:00Z","timestamp":1775606400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,4,8]],"date-time":"2026-04-08T00:00:00Z","timestamp":1775606400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,4,8]]},"DOI":"10.1109\/isbi61048.2026.11515715","type":"proceedings-article","created":{"date-parts":[[2026,5,20]],"date-time":"2026-05-20T19:48:46Z","timestamp":1779306526000},"page":"1-5","source":"Crossref","is-referenced-by-count":0,"title":["Progidiff: Prompt-Guided Diffusion-Based Medical Image Segmentation"],"prefix":"10.1109","author":[{"given":"Yuan","family":"Lin","sequence":"first","affiliation":[{"name":"Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg,Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Murong","family":"Xu","sequence":"additional","affiliation":[{"name":"University of Zurich,Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marc","family":"H\u00f6lle","sequence":"additional","affiliation":[{"name":"Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg,Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chinmay","family":"Prabhakar","sequence":"additional","affiliation":[{"name":"University of Zurich,Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andreas","family":"Maier","sequence":"additional","affiliation":[{"name":"Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg,Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vasileios","family":"Belagiannis","sequence":"additional","affiliation":[{"name":"Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg,Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bjoern","family":"Menze","sequence":"additional","affiliation":[{"name":"University of Zurich,Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Suprosanna","family":"Shit","sequence":"additional","affiliation":[{"name":"University of Zurich,Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.123052"},{"key":"ref2","article-title":"Cads: A comprehensive anatomical dataset and segmentation for whole-body anatomy in computed tomography","author":"Xu","year":"2025","journal-title":"arXiv preprint"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1038\/s41592-020-01008-z"},{"key":"ref4","article-title":"3d transunet: Advancing medical image segmentation through vision transformers","volume":"abs\/2310.07781","author":"Chen","year":"2023","journal-title":"CoRR"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-25066-8_9"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87193-2_31"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr52688.2022.01042"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.7005"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00355"},{"key":"ref10","article-title":"Auto-encoding variational bayes","volume-title":"in 2nd International Conference on Learning Representations, ICLR 2014, Banff","author":"Kingma","year":"2014"},{"key":"ref11","first-page":"8748","article-title":"Learning transferable visual models from natural language supervision","volume-title":"in Proceedings of the 38th International Conference on Machine Learning, ICML 2021","volume":"139","author":"Radford","year":"2021"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.7303\/SYN3193805"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2020.101950"},{"key":"ref14","article-title":"Transunet: Transformers make strong encoders for medical image segmentation","author":"Chen","year":"2021","journal-title":"arXiv preprint"},{"key":"ref15","article-title":"Diff-unet: A diffusion embedded network for volumetric segmentation","author":"Xing","year":"2023","journal-title":"arXiv preprint"},{"key":"ref16","article-title":"Medclip-samv2: Towards universal text-driven medical image segmentation","author":"Koleilat","year":"2024","journal-title":"arXiv preprint"}],"event":{"name":"2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI)","location":"London, United Kingdom","start":{"date-parts":[[2026,4,8]]},"end":{"date-parts":[[2026,4,11]]}},"container-title":["2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11515282\/11515297\/11515715.pdf?arnumber=11515715","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T06:26:18Z","timestamp":1779344778000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11515715\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,4,8]]},"references-count":16,"URL":"https:\/\/doi.org\/10.1109\/isbi61048.2026.11515715","relation":{},"subject":[],"published":{"date-parts":[[2026,4,8]]}}}