{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,6]],"date-time":"2026-08-06T17:57:21Z","timestamp":1786039041316,"version":"3.56.0"},"reference-count":56,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"9","license":[{"start":{"date-parts":[[2025,9,1]],"date-time":"2025-09-01T00:00:00Z","timestamp":1756684800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,9,1]],"date-time":"2025-09-01T00:00:00Z","timestamp":1756684800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,9,1]],"date-time":"2025-09-01T00:00:00Z","timestamp":1756684800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"NIH NCI","award":["R01-CA246704"],"award-info":[{"award-number":["R01-CA246704"]}]},{"name":"NIH\/NIDDK","award":["U01 DK127384-02S1"],"award-info":[{"award-number":["U01 DK127384-02S1"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Med. Imaging"],"published-print":{"date-parts":[[2025,9]]},"DOI":"10.1109\/tmi.2024.3519307","type":"journal-article","created":{"date-parts":[[2024,12,17]],"date-time":"2024-12-17T14:16:53Z","timestamp":1734445013000},"page":"3670-3682","source":"Crossref","is-referenced-by-count":38,"title":["DiffBoost: Enhancing Medical Image Segmentation via Text-Guided Diffusion Model"],"prefix":"10.1109","volume":"44","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1868-9240","authenticated-orcid":false,"given":"Zheyuan","family":"Zhang","sequence":"first","affiliation":[{"name":"Machine and Hybrid Intelligence Laboratory, Northwestern University, Chicago, IL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lanhong","family":"Yao","sequence":"additional","affiliation":[{"name":"Machine and Hybrid Intelligence Laboratory, Northwestern University, Chicago, IL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bin","family":"Wang","sequence":"additional","affiliation":[{"name":"Machine and Hybrid Intelligence Laboratory, Northwestern University, Chicago, IL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8078-6730","authenticated-orcid":false,"given":"Debesh","family":"Jha","sequence":"additional","affiliation":[{"name":"Machine and Hybrid Intelligence Laboratory, Northwestern University, Chicago, IL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1608-1955","authenticated-orcid":false,"given":"Gorkem","family":"Durak","sequence":"additional","affiliation":[{"name":"Machine and Hybrid Intelligence Laboratory, Northwestern University, Chicago, IL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Elif","family":"Keles","sequence":"additional","affiliation":[{"name":"Machine and Hybrid Intelligence Laboratory, Northwestern University, Chicago, IL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alpay","family":"Medetalibeyoglu","sequence":"additional","affiliation":[{"name":"Machine and Hybrid Intelligence Laboratory, Northwestern University, Chicago, IL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7379-6829","authenticated-orcid":false,"given":"Ulas","family":"Bagci","sequence":"additional","affiliation":[{"name":"Machine and Hybrid Intelligence Laboratory, Northwestern University, Chicago, IL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1111\/1754-9485.13261"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1198\/10618600152418584"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.2973595"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1038\/s41592-020-01008-z"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2022.106391"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00536-8_1"},{"key":"ref7","article-title":"Explaining and harnessing adversarial examples","author":"Goodfellow","year":"2014","journal-title":"arXiv:1412.6572"},{"key":"ref8","article-title":"Domain generalization with adversarial intensity attack for medical image segmentation","author":"Zhang","year":"2023","journal-title":"arXiv:2304.02720"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59710-8_65"},{"key":"ref10","first-page":"6840","article-title":"Denoising diffusion probabilistic models","volume-title":"Proc. NIPS","volume":"33","author":"Ho"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01042"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3261988"},{"key":"ref13","first-page":"8780","article-title":"Diffusion models beat GANs on image synthesis","volume-title":"Proc. NIPS","volume":"34","author":"Dhariwal"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1148\/ryai.210315"},{"key":"ref15","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":"ref16","article-title":"An image is worth one word: Personalizing text-to-image generation using textual inversion","author":"Gal","year":"2022","journal-title":"arXiv:2208.01618"},{"key":"ref17","article-title":"DreamBooth: Fine tuning text-to-image diffusion models for subject-driven generation","author":"Ruiz","year":"2022","journal-title":"arXiv:2208.12242"},{"key":"ref18","article-title":"InstructPix2Pix: Learning to follow image editing instructions","author":"Brooks","year":"2022","journal-title":"arXiv:2211.09800"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/iccv51070.2023.00355"},{"key":"ref20","article-title":"Diffusion models for medical image analysis: A comprehensive survey","author":"Kazerouni","year":"2022","journal-title":"arXiv:2211.07804"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-43999-5_38"},{"key":"ref22","article-title":"Generating realistic brain MRIs via a conditional diffusion probabilistic model","author":"Peng","year":"2022","journal-title":"arXiv:2212.08034"},{"key":"ref23","article-title":"Towards realistic ultrasound fetal brain imaging synthesis","author":"Iskandar","year":"2023","journal-title":"arXiv:2304.03941"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3592571.3592978"},{"key":"ref25","article-title":"Diffusion probabilistic models beat GANs on medical images","author":"M\u00fcller-Franzes","year":"2022","journal-title":"arXiv:2212.07501"},{"key":"ref26","article-title":"DreaMR: Diffusion-driven counterfactual explanation for functional MRI","author":"Bedel","year":"2023","journal-title":"arXiv:2307.09547"},{"key":"ref27","article-title":"Zero-shot medical image translation via frequency-guided diffusion models","author":"Li","year":"2023","journal-title":"arXiv:2304.02742"},{"key":"ref28","article-title":"Conversion between CT and MRI images using diffusion and score-matching models","author":"Lyu","year":"2022","journal-title":"arXiv:2209.12104"},{"key":"ref29","article-title":"Unsupervised medical image translation with adversarial diffusion models","author":"\u00d6zbey","year":"2022","journal-title":"arXiv:2207.08208"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr52729.2023.00289"},{"key":"ref31","article-title":"Label-efficient semantic segmentation with diffusion models","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Baranchuk"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i6.28418"},{"key":"ref33","article-title":"Memory-efficient 3D denoising diffusion models for medical image processing","author":"Bieder","year":"2023","journal-title":"arXiv:2303.15288"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr52729.2023.01110"},{"key":"ref35","article-title":"Conditional diffusion models for semantic 3D brain MRI synthesis","author":"Dorjsembe","year":"2023","journal-title":"arXiv:2305.18453"},{"key":"ref36","article-title":"DiffuseExpand: Expanding dataset for 2D medical image segmentation using diffusion models","author":"Shao","year":"2023","journal-title":"arXiv:2304.13416"},{"key":"ref37","article-title":"Self-score: Self-supervised learning on score-based models for MRI reconstruction","author":"Cui","year":"2022","journal-title":"arXiv:2209.00835"},{"key":"ref38","article-title":"DDM2: Self-supervised diffusion MRI denoising with generative diffusion models","author":"Xiang","year":"2023","journal-title":"arXiv:2302.03018"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-16452-1_4"},{"key":"ref40","article-title":"Mask, stitch, and re-sample: Enhancing robustness and generalizability in anomaly detection through automatic diffusion models","author":"Bercea","year":"2023","journal-title":"arXiv:2305.19643"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/embc53108.2024.10782077"},{"key":"ref42","article-title":"Score-based generative modeling through stochastic differential equations","author":"Song","year":"2020","journal-title":"arXiv:2011.13456"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.164"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.632"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/j.dib.2019.104863"},{"issue":"1","key":"ref46","doi-asserted-by":"crossref","first-page":"4128","DOI":"10.1038\/s41467-022-30695-9","article-title":"The medical segmentation decathlon","volume":"13","author":"Antonelli","year":"2022","journal-title":"Nat. Commun."},{"key":"ref47","article-title":"Attention U-Net: Learning where to look for the pancreas","author":"Oktay","year":"2018","journal-title":"arXiv:1804.03999"},{"key":"ref48","article-title":"MONAI: An open-source framework for deep learning in healthcare","author":"Cardoso","year":"2022","journal-title":"arXiv:2211.02701"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00020"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW50498.2020.00359"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00081"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1038\/s41592-018-0261-2"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-12029-0_40"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-08999-2_22"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00453"}],"container-title":["IEEE Transactions on Medical Imaging"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/42\/11165775\/10804854.pdf?arnumber=10804854","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,18]],"date-time":"2025-09-18T17:46:15Z","timestamp":1758217575000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10804854\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9]]},"references-count":56,"journal-issue":{"issue":"9"},"URL":"https:\/\/doi.org\/10.1109\/tmi.2024.3519307","relation":{},"ISSN":["0278-0062","1558-254X"],"issn-type":[{"value":"0278-0062","type":"print"},{"value":"1558-254X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,9]]}}}