{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,10]],"date-time":"2026-02-10T16:04:33Z","timestamp":1770739473070,"version":"3.49.0"},"reference-count":59,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"8","license":[{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"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":["U23A20294"],"award-info":[{"award-number":["U23A20294"]}],"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":["62176081"],"award-info":[{"award-number":["62176081"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Sel. Top. Signal Process."],"published-print":{"date-parts":[[2025,12]]},"DOI":"10.1109\/jstsp.2025.3583188","type":"journal-article","created":{"date-parts":[[2025,6,25]],"date-time":"2025-06-25T14:23:12Z","timestamp":1750861392000},"page":"1603-1616","source":"Crossref","is-referenced-by-count":0,"title":["Semantic-Guided Diffusion Sampling: A Generalized Strategy for Enhancing Object Segmentation Oriented Multimodal Image Fusion"],"prefix":"10.1109","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5737-0147","authenticated-orcid":false,"given":"Yu","family":"Shi","sequence":"first","affiliation":[{"name":"Department of Biomedical Engineering and the Anhui Province Key Laboratory of Measuring Theory and Precision Instrument, Hefei University of Technology, Hefei, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2211-3535","authenticated-orcid":false,"given":"Yu","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Biomedical Engineering and the Anhui Province Key Laboratory of Measuring Theory and Precision Instrument, Hefei University of Technology, Hefei, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1206-1698","authenticated-orcid":false,"given":"Juan","family":"Cheng","sequence":"additional","affiliation":[{"name":"Department of Biomedical Engineering and the Anhui Province Key Laboratory of Measuring Theory and Precision Instrument, Hefei University of Technology, Hefei, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2462-6174","authenticated-orcid":false,"given":"Huafeng","family":"Li","sequence":"additional","affiliation":[{"name":"Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4922-8116","authenticated-orcid":false,"given":"Xun","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2016.05.004"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2014.09.004"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2010.04.001"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2016.12.001"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2018.09.004"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/JAS.2022.105686"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.02153"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2023.101870"},{"key":"ref9","first-page":"2256","article-title":"Deep unsupervised learning using nonequilibrium thermodynamics","volume-title":"Proc. 32nd Int. Conf. Mach. Learn.","author":"Sohl-Dickstein","year":"2015"},{"key":"ref10","first-page":"6840","article-title":"Denoising diffusion probabilistic models","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Ho","year":"2020"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2023.3322046"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72104-5_61"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00742"},{"key":"ref14","article-title":"Classifier-free diffusion guidance","author":"Ho","year":"2022"},{"key":"ref15","first-page":"8780","article-title":"Diffusion models beat GANs on image synthesis","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Dhariwal","year":"2021"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2745202"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2005.09.006"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2633863"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2013.2282461"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2018.2838778"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2012.2217493"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2016.2618776"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2021.06.001"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2022.3184360"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-023-01952-1"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.2977573"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/tip.2023.3273451"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2023.110223"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2024.110822"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/s44267-024-00072-9"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/3664647.3680905"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2024.3374072"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2024.3521416"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2022.3181717"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2024.3463416"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-023-01948-x"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2025.3535617"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/JAS.2022.105770"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2024.3382308"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2023.3293274"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.02552"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1145\/3422622"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3261988"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2024.102450"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2024.3512365"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/tmm.2025.3565985"},{"key":"ref47","article-title":"Conditional generative adversarial nets","author":"Mirza","year":"2014"},{"key":"ref48","first-page":"4183","article-title":"High-fidelity image generation with fewer labels","volume-title":"Proc. 36th Int. Conf. Mach. Learn.","author":"Lui","year":"2019"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00745"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2019.07.011"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3012548"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00572"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3283682"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2024.3367905"},{"issue":"1","key":"ref55","article-title":"Assessment of image fusion procedures using entropy, image quality, and multispectral classification","volume-title":"Proc. SPIE","volume":"2","author":"Roberts","year":"2008"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1016\/j.optcom.2014.12.032"},{"issue":"Special issue","key":"ref57","first-page":"52","article-title":"Hybrid multimodality medical image fusion technique for feature enhancement in medical diagnosis","volume":"2","author":"Rajalingam","year":"2018","journal-title":"Int. J. Eng. Sci. Invention"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1088\/0957-0233\/8\/4\/002"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/26.477498"}],"container-title":["IEEE Journal of Selected Topics in Signal Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/4200690\/11373659\/11050979.pdf?arnumber=11050979","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,9]],"date-time":"2026-02-09T21:05:45Z","timestamp":1770671145000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11050979\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12]]},"references-count":59,"journal-issue":{"issue":"8"},"URL":"https:\/\/doi.org\/10.1109\/jstsp.2025.3583188","relation":{},"ISSN":["1932-4553","1941-0484"],"issn-type":[{"value":"1932-4553","type":"print"},{"value":"1941-0484","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,12]]}}}