{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T21:19:42Z","timestamp":1778620782817,"version":"3.51.4"},"reference-count":49,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100007162","name":"Guangdong Provincial Department of Science and Technology","doi-asserted-by":"publisher","award":["JCYJ20200109113603854"],"award-info":[{"award-number":["JCYJ20200109113603854"]}],"id":[{"id":"10.13039\/501100007162","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100019404","name":"CAS Shenzhen-Hong Kong Institute of Brain Science","doi-asserted-by":"publisher","award":["2023SHIBS0003"],"award-info":[{"award-number":["2023SHIBS0003"]}],"id":[{"id":"10.13039\/501100019404","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100010877","name":"Shenzhen Science and Technology Innovation Committee","doi-asserted-by":"publisher","award":["ZDSYS20230626091203008"],"award-info":[{"award-number":["ZDSYS20230626091203008"]}],"id":[{"id":"10.13039\/501100010877","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100010877","name":"Shenzhen Science and Technology Innovation Committee","doi-asserted-by":"publisher","award":["RCBS20231211090800003"],"award-info":[{"award-number":["RCBS20231211090800003"]}],"id":[{"id":"10.13039\/501100010877","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100017610","name":"Shenzhen Science and Technology Innovation Program","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100017610","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100017607","name":"Shenzhen Municipal Fundamental Research Program","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100017607","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["32361143787 62306089 82102032"],"award-info":[{"award-number":["32361143787 62306089 82102032"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Information Fusion"],"published-print":{"date-parts":[[2026,9]]},"DOI":"10.1016\/j.inffus.2026.104301","type":"journal-article","created":{"date-parts":[[2026,3,16]],"date-time":"2026-03-16T07:32:28Z","timestamp":1773646348000},"page":"104301","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Diagnostically faithful fMRI-dMRI synthesis using disease-informed diffusion priors"],"prefix":"10.1016","volume":"133","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5655-6716","authenticated-orcid":false,"given":"Xiongri","family":"Shen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiaqi","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yi","family":"Zhong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8574-0857","authenticated-orcid":false,"given":"Zhenxi","family":"Song","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-1265-416X","authenticated-orcid":false,"given":"Leilei","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8907-4369","authenticated-orcid":false,"given":"Ahmed M.","family":"Anter","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yichen","family":"Wei","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lingyan","family":"Liang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Demao","family":"Deng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3087-2550","authenticated-orcid":false,"given":"Baiying","family":"Lei","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1119-320X","authenticated-orcid":false,"given":"Shuqiang","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7992-7965","authenticated-orcid":false,"given":"Zhiguo","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"issue":"5","key":"10.1016\/j.inffus.2026.104301_bib0001","doi-asserted-by":"crossref","first-page":"619","DOI":"10.1002\/mrm.1910330506","article-title":"Magnetostimulation in MRI","volume":"33","author":"Irnich","year":"1995","journal-title":"Magn. Reson. Med."},{"issue":"7","key":"10.1016\/j.inffus.2026.104301_bib0002","doi-asserted-by":"crossref","first-page":"387","DOI":"10.1002\/nbm.1940080712","article-title":"Clinical aspects of DWI","volume":"8","author":"Moseley","year":"1995","journal-title":"NMR Biomed."},{"issue":"7-8","key":"10.1016\/j.inffus.2026.104301_bib0003","first-page":"587","article-title":"Neuropsychiatric applications of DTI\u2013a review","volume":"15","author":"Lim","year":"2002","journal-title":"NMR Biomed. Int. J. Devoted Dev. Appl. Magn. Reson. In Vivo"},{"key":"10.1016\/j.inffus.2026.104301_bib0004","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1007\/s12031-007-0029-0","article-title":"Diffusion tensor imaging (DTI)-based white matter mapping in brain research: a review","volume":"34","author":"Assaf","year":"2008","journal-title":"J. Mol. Neurosci."},{"issue":"suppl_2","key":"10.1016\/j.inffus.2026.104301_bib0005","doi-asserted-by":"crossref","first-page":"S167","DOI":"10.1259\/bjr\/33553595","article-title":"Overview of fMRI analysis","volume":"77","author":"Smith","year":"2004","journal-title":"Br. J. Radiol."},{"issue":"12","key":"10.1016\/j.inffus.2026.104301_bib0006","doi-asserted-by":"crossref","first-page":"2720","DOI":"10.1109\/TBME.2018.2814538","article-title":"Medical image synthesis with deep convolutional adversarial networks","volume":"65","author":"Nie","year":"2018","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"10.1016\/j.inffus.2026.104301_bib0007","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1007\/978-3-030-33128-3_2","article-title":"Medical image synthesis via deep learning","author":"Yu","year":"2020","journal-title":"Deep Learn. Med. Image Anal. Challenges Appl."},{"key":"10.1016\/j.inffus.2026.104301_bib0008","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s10286-025-01124-w","article-title":"Amplitude of low-frequency fluctuation (ALFF) alterations in heart transplant patients with cognitive impairment: a resting-state fMRI study","volume":"35","author":"Qin","year":"2025","journal-title":"Clin. Auton. Res."},{"key":"10.1016\/j.inffus.2026.104301_bib0009","doi-asserted-by":"crossref","DOI":"10.1177\/11795735231205413","article-title":"Functional MRI and diffusion tensor imaging in migraine: a review of migraine functional and white matter microstructural changes","volume":"15","author":"Chou","year":"2023","journal-title":"J. Cent. Nerv. Syst. Dis."},{"key":"10.1016\/j.inffus.2026.104301_bib0010","doi-asserted-by":"crossref","DOI":"10.1016\/j.compbiomed.2019.103528","article-title":"Synthesizing diffusion tensor imaging from functional MRI using fully convolutional networks","volume":"115","author":"Son","year":"2019","journal-title":"Comput. Biol. Med."},{"key":"10.1016\/j.inffus.2026.104301_bib0011","series-title":"International Conference on Medical Image Computing and Computer-Assisted Intervention","first-page":"530","article-title":"Q-space conditioned translation networks for directional synthesis of diffusion weighted images from multi-modal structural MRI","author":"Ren","year":"2021"},{"issue":"11","key":"10.1016\/j.inffus.2026.104301_bib0012","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1145\/3422622","article-title":"Generative adversarial networks","volume":"63","author":"Goodfellow","year":"2020","journal-title":"Commun. ACM"},{"issue":"9","key":"10.1016\/j.inffus.2026.104301_bib0013","doi-asserted-by":"crossref","first-page":"10850","DOI":"10.1109\/TPAMI.2023.3261988","article-title":"Diffusion models in vision: a survey","volume":"45","author":"Croitoru","year":"2023","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"4","key":"10.1016\/j.inffus.2026.104301_bib0014","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3626235","article-title":"Diffusion models: a comprehensive survey of methods and applications","volume":"56","author":"Yang","year":"2023","journal-title":"ACM Comput. Surv."},{"key":"10.1016\/j.inffus.2026.104301_bib0015","series-title":"International Conference on Machine Learning","first-page":"7354","article-title":"Self-attention generative adversarial networks","author":"Zhang","year":"2019"},{"key":"10.1016\/j.inffus.2026.104301_bib0016","series-title":"Proceedings of the AAAI Conference on Artificial Intelligence","first-page":"1028","article-title":"Perceptual-sensitive gan for generating adversarial patches","volume":"33","author":"Liu","year":"2019"},{"key":"10.1016\/j.inffus.2026.104301_bib0017","doi-asserted-by":"crossref","DOI":"10.1016\/j.compmedimag.2021.101953","article-title":"CT synthesis from MRI using multi-cycle GAN for head-and-neck radiation therapy","volume":"91","author":"Liu","year":"2021","journal-title":"Comput. Med. Imaging Graphics"},{"issue":"12","key":"10.1016\/j.inffus.2026.104301_bib0018","doi-asserted-by":"crossref","first-page":"351","DOI":"10.3390\/fi14120351","article-title":"A systematic literature review on applications of GAN-synthesized images for brain MRI","volume":"14","author":"Tavse","year":"2022","journal-title":"Future Internet"},{"issue":"1","key":"10.1016\/j.inffus.2026.104301_bib0019","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1186\/s40708-020-00104-2","article-title":"GAN-based synthetic brain PET image generation","volume":"7","author":"Islam","year":"2020","journal-title":"Brain Informatics"},{"issue":"10","key":"10.1016\/j.inffus.2026.104301_bib0020","article-title":"2D medical image synthesis using transformer-based denoising diffusion probabilistic model","volume":"68","author":"Pan","year":"2023","journal-title":"Physm Medm Biolm"},{"key":"10.1016\/j.inffus.2026.104301_bib0021","series-title":"Medical Imaging 2024: Clinical and Biomedical Imaging","first-page":"428","article-title":"Full-dose PET synthesis from low-dose PET using 2D high efficiency denoising diffusion probabilistic model","volume":"12930","author":"Pan","year":"2024"},{"key":"10.1016\/j.inffus.2026.104301_bib0022","series-title":"International Conference on Medical Image Computing and Computer-Assisted Intervention","first-page":"398","article-title":"COLA-Diff: conditional latent diffusion model for multi-modal MRI synthesis","author":"Jiang","year":"2023"},{"key":"10.1016\/j.inffus.2026.104301_bib0023","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"10487","article-title":"DiffusionGAN3D: boosting text-guided 3D generation and domain adaptation by combining 3D GANs and diffusion priors","author":"Lei","year":"2024"},{"key":"10.1016\/j.inffus.2026.104301_bib0024","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/s41583-024-00895-x","article-title":"The brain\u2019s action-mode network","volume":"26","author":"Dosenbach","year":"2025","journal-title":"Nat. Rev. Neurosci."},{"issue":"1","key":"10.1016\/j.inffus.2026.104301_bib0025","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1038\/s43856-025-00736-7","article-title":"Revealing excitation-inhibition imbalance in Alzheimer\u2019s disease using multiscale neural model inversion of resting-state functional MRI","volume":"5","author":"Li","year":"2025","journal-title":"Commun. Med."},{"issue":"9","key":"10.1016\/j.inffus.2026.104301_bib0026","doi-asserted-by":"crossref","first-page":"2941","DOI":"10.1002\/hbm.25369","article-title":"Diagnostic power of resting-state fMRI for detection of network connectivity in Alzheimer\u2019s disease and mild cognitive impairment: a systematic review","volume":"42","author":"Ibrahim","year":"2021","journal-title":"Hum. Brain Mapp."},{"key":"10.1016\/j.inffus.2026.104301_bib0027","doi-asserted-by":"crossref","DOI":"10.1016\/j.media.2022.102463","article-title":"Predicting brain structural network using functional connectivity","volume":"79","author":"Zhang","year":"2022","journal-title":"Med. Image Anal."},{"key":"10.1016\/j.inffus.2026.104301_bib0028","unstructured":"A. Kalluvila, N. Koonjoo, D. Bhutto, M. Rockenbach, M.S. Rosen, Synthetic low-field MRI super-resolution via nested U-Net architecture, arXiv preprint arXiv: 2211.15047(2022)."},{"key":"10.1016\/j.inffus.2026.104301_bib0029","doi-asserted-by":"crossref","first-page":"426","DOI":"10.1109\/TRPMS.2023.3339173","article-title":"PET Synthesis via self-supervised adaptive residual estimation generative adversarial network","volume":"8","author":"Xue","year":"2023","journal-title":"IEEE Trans. Radiat. Plasma Med. Sci."},{"issue":"1","key":"10.1016\/j.inffus.2026.104301_bib0030","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1109\/JBHI.2021.3088866","article-title":"Multi-modal MRI image synthesis via GAN with multi-scale gate mergence","volume":"26","author":"Zhan","year":"2021","journal-title":"IEEE J. Biomed. Health Inform."},{"key":"10.1016\/j.inffus.2026.104301_bib0031","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2022.109362","article-title":"D2FE-GAN: decoupled dual feature extraction based GAN for MRI image synthesis","volume":"252","author":"Zhan","year":"2022","journal-title":"Knowl. Based Syst."},{"issue":"1","key":"10.1016\/j.inffus.2026.104301_bib0032","doi-asserted-by":"crossref","first-page":"1","DOI":"10.24294\/mipt.v6i1.2518","article-title":"2D brain MRI image synthesis based on lightweight denoising diffusion probabilistic model","volume":"6","author":"Peng","year":"2023","journal-title":"Med. Imaging Process Technol."},{"key":"10.1016\/j.inffus.2026.104301_bib0033","series-title":"International Conference on Medical Image Computing and Computer-Assisted Intervention","first-page":"592","article-title":"Make-A-volume: leveraging latent diffusion models for cross-modality 3D brain MRI synthesis","author":"Zhu","year":"2023"},{"issue":"7","key":"10.1016\/j.inffus.2026.104301_bib0034","doi-asserted-by":"crossref","first-page":"4084","DOI":"10.1109\/JBHI.2024.3385504","article-title":"Conditional diffusion models for semantic 3D brain MRI synthesis","volume":"28","author":"Dorjsembe","year":"2024","journal-title":"IEEE J. Biomed. Health Inform."},{"issue":"7","key":"10.1016\/j.inffus.2026.104301_bib0035","doi-asserted-by":"crossref","first-page":"2587","DOI":"10.1109\/TMI.2024.3368664","article-title":"Multi-modal modality-masked diffusion network for brain MRI synthesis with random modality missing","volume":"43","author":"Meng","year":"2024","journal-title":"IEEE Trans. Med. Imaging."},{"key":"10.1016\/j.inffus.2026.104301_bib0036","article-title":"SIRNet: multi-stage brain MRI registration between patient and normal based on synthesis and inpainting","author":"Hu","year":"2025","journal-title":"Inf. Fusion"},{"issue":"1","key":"10.1016\/j.inffus.2026.104301_bib0037","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s43055-024-01287-y","article-title":"Assessing the efficacy of 3D dual-cycle GAN model for multi-contrast MRI synthesis","volume":"55","author":"Mahboubisarighieh","year":"2024","journal-title":"Egypt. J. Radiol. Nucl. Med."},{"key":"10.1016\/j.inffus.2026.104301_bib0038","doi-asserted-by":"crossref","DOI":"10.1016\/j.bspc.2021.102457","article-title":"LR-cGAN: latent representation based conditional generative adversarial network for multi-modality MRI synthesis","volume":"66","author":"Zhan","year":"2021","journal-title":"Biomed. Signal Process. Control"},{"key":"10.1016\/j.inffus.2026.104301_bib0039","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2024.111799","article-title":"Mask-guided generative adversarial network for MRI-based CT synthesis","volume":"295","author":"Luo","year":"2024","journal-title":"Knowl. Based Syst."},{"issue":"4","key":"10.1016\/j.inffus.2026.104301_bib0040","doi-asserted-by":"crossref","DOI":"10.1088\/1361-6560\/ad209c","article-title":"High-resolution MRI synthesis using a data-driven framework with denoising diffusion probabilistic modeling","volume":"69","author":"Chang","year":"2024","journal-title":"Phys. Med. Biol."},{"key":"10.1016\/j.inffus.2026.104301_bib0041","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"5174","article-title":"DCE-Diff: diffusion model for synthesis of early and late dynamic contrast-enhanced MR images from non-contrast multimodal inputs","author":"Ramanarayanan","year":"2024"},{"key":"10.1016\/j.inffus.2026.104301_bib0042","series-title":"Deep Generative Models: 4th MICCAI Workshop","first-page":"11","article-title":"For high-resolution medical image synthesis","volume":"15224","author":"Friedrich","year":"2025"},{"key":"10.1016\/j.inffus.2026.104301_bib0043","series-title":"European Conference on Computer Vision","first-page":"37","article-title":"Diffit: diffusion vision transformers for image generation","author":"Hatamizadeh","year":"2024"},{"issue":"12","key":"10.1016\/j.inffus.2026.104301_bib0044","doi-asserted-by":"crossref","first-page":"3524","DOI":"10.1109\/TMI.2023.3290149","article-title":"Unsupervised medical image translation with adversarial diffusion models","volume":"42","author":"\u00d6zbey","year":"2023","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"1","key":"10.1016\/j.inffus.2026.104301_bib0045","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1007\/s11063-019-10080-2","article-title":"Attentive semantic and perceptual faces completion using self-attention generative adversarial networks","volume":"51","author":"Liu","year":"2020","journal-title":"Neural Process. Lett."},{"key":"10.1016\/j.inffus.2026.104301_bib0046","first-page":"1","article-title":"Attention is all you need","volume":"30","author":"Vaswani","year":"2017","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"10.1016\/j.inffus.2026.104301_bib0047","series-title":"2024 3rd International Conference on Applied Artificial Intelligence and Computing (ICAAIC)","first-page":"1303","article-title":"A comparative analysis of pancreatic tumor detection using VGG16, ResNet, and DenseNet","author":"Deepthi","year":"2024"},{"key":"10.1016\/j.inffus.2026.104301_bib0048","doi-asserted-by":"crossref","DOI":"10.1016\/j.media.2025.103665","article-title":"A novel explainable AI framework for medical image classification integrating statistical, visual, and rule-based methods","volume":"105","author":"Ullah","year":"2025","journal-title":"Med. Image Anal."},{"issue":"1","key":"10.1016\/j.inffus.2026.104301_bib0049","doi-asserted-by":"crossref","first-page":"30","DOI":"10.3390\/ai7010030","article-title":"Explainable multi-modal medical image analysis through dual-stream multi-feature fusion and class-specific selection","volume":"7","author":"Ullah","year":"2026","journal-title":"AI"}],"container-title":["Information Fusion"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1566253526001806?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1566253526001806?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T20:49:54Z","timestamp":1778618994000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1566253526001806"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,9]]},"references-count":49,"alternative-id":["S1566253526001806"],"URL":"https:\/\/doi.org\/10.1016\/j.inffus.2026.104301","relation":{},"ISSN":["1566-2535"],"issn-type":[{"value":"1566-2535","type":"print"}],"subject":[],"published":{"date-parts":[[2026,9]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Diagnostically faithful fMRI-dMRI synthesis using disease-informed diffusion priors","name":"articletitle","label":"Article Title"},{"value":"Information Fusion","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.inffus.2026.104301","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"104301"}}