{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,24]],"date-time":"2026-09-24T18:59:56Z","timestamp":1790276396857,"version":"4.1.0"},"publisher-location":"Cham","reference-count":24,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032380975","type":"print"},{"value":"9783032380982","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,9,25]],"date-time":"2026-09-25T00:00:00Z","timestamp":1790294400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,9,25]],"date-time":"2026-09-25T00:00:00Z","timestamp":1790294400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2027]]},"DOI":"10.1007\/978-3-032-38098-2_20","type":"book-chapter","created":{"date-parts":[[2026,9,24]],"date-time":"2026-09-24T18:13:42Z","timestamp":1790273622000},"page":"208-218","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Cross-Modal Alignment and\u00a0Distillation for\u00a0Retinal Imaging Dementia Screening"],"prefix":"10.1007","author":[{"given":"Zhuoting","family":"Xu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Le","family":"Cao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tiande","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lei","family":"Mou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shijia","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fan","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dinggang","family":"Shen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Huazhu","family":"Fu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bo","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yitian","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,9,25]]},"reference":[{"key":"20_CR1","unstructured":"Dosovitskiy, A.: An image is worth 16x16 words: Transformers for image recognition at scale. arXiv preprint arXiv:2010.11929 (2020)"},{"key":"20_CR2","doi-asserted-by":"crossref","unstructured":"Estrada, S., K\u00fcgler, D., Bahrami, E., Xu, P., Mousa, D., Breteler, M.M., et\u00a0al.: FastSurfer-HypVINN: automated sub-segmentation of the hypothalamus and adjacent structures on high-resolutional brain MRI. Imaging Neurosci. 1, imag\u20131 (2023)","DOI":"10.1162\/imag_a_00034"},{"key":"20_CR3","doi-asserted-by":"crossref","unstructured":"Hao, J., Kwapong, W.R., Shen, T., Fu, H., Xu, Y., Lu, Q.: Early detection of dementia through retinal imaging and trustworthy ai. npj Digital Med. 7(1), 294 (2024)","DOI":"10.1038\/s41746-024-01292-5"},{"key":"20_CR4","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 770\u2013778 (2016)","DOI":"10.1109\/CVPR.2016.90"},{"key":"20_CR5","unstructured":"Hjelm, R.D., Fedorov, A., Lavoie-Marchildon, S., Grewal, K., Bachman, P., Trischler, A.: Learning deep representations by mutual information estimation and maximization. arXiv preprint arXiv:1808.06670"},{"issue":"3","key":"20_CR6","doi-asserted-by":"publisher","first-page":"460","DOI":"10.3390\/brainsci13030460","volume":"13","author":"Z Hu","year":"2023","unstructured":"Hu, Z., et al.: Retinal alterations as potential biomarkers of structural brain changes in Alzheimer\u2019s disease spectrum patients. Brain Sci. 13(3), 460 (2023)","journal-title":"Brain Sci."},{"issue":"4","key":"20_CR7","first-page":"685","volume":"27","author":"CR Jack Jr","year":"2008","unstructured":"Jack, C.R., Jr., Bernstein, M.A., Fox, N.C., Thompson, P., Alexander, G., Harvey, D., et al.: The Alzheimer\u2019s disease neuroimaging initiative (ADNI): MRI methods. J. Magn. Reson. Imaging Official J. Int. Soc. Magn. Reson. Med. 27(4), 685\u2013691 (2008)","journal-title":"J. Magn. Reson. Imaging Official J. Int. Soc. Magn. Reson. Med."},{"issue":"2","key":"20_CR8","doi-asserted-by":"publisher","DOI":"10.1016\/j.xcrm.2026.102629","volume":"7","author":"F Li","year":"2026","unstructured":"Li, F., Bai, S., Liu, Y., Chen, Z., Zhao, S., Ding, Z., et al.: Enhancing diagnosis of mild cognitive impairment through brain-heart-gut metabolic networks in whole-body pet imaging. Cell Rep. Med. 7(2), 102629 (2026)","journal-title":"Cell Rep. Med."},{"key":"20_CR9","doi-asserted-by":"crossref","unstructured":"Li, F., Zhao, S., Bai, S., Liu, Y., Zhang, K., Xu, Y., et al.: Brain-heart-gut guided multi-constraint knowledge distillation for early Alzheimer\u2019s disease diagnosis. In: Medical Image Computing and Computer Assisted Intervention - MICCAI 2025. Lecture Notes in Computer Science, vol. 15974, pp. 45\u201354. Springer Nature Switzerland, Cham (2025)","DOI":"10.1007\/978-3-032-05182-0_5"},{"key":"20_CR10","doi-asserted-by":"crossref","unstructured":"Li, F., et\u00a0al.: Brain\u2013body interactions in systemic diseases: a survey from an imaging perspective. MedScience 1\u201333 (2026)","DOI":"10.36227\/techrxiv.177281033.30855835\/v1"},{"key":"20_CR11","unstructured":"Liu, J., Liu, F., Sun, K., Jiang, C., Wang, Y., Sun, T., et\u00a0al.: BrainParc: unified lifespan brain parcellation with anatomy-guided progressive transmission. In: Proceedings of International Society for Magnetic Resonance in Medicine (ISMRM) (2025)"},{"key":"20_CR12","doi-asserted-by":"crossref","unstructured":"Liu, Z., Mao, H., Wu, C.Y., Feichtenhofer, C., Darrell, T., Xie, S.: A ConvNet for the 2020s. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 11976\u201311986 (2022)","DOI":"10.1109\/CVPR52688.2022.01167"},{"issue":"1","key":"20_CR13","doi-asserted-by":"publisher","first-page":"44","DOI":"10.1038\/nrneurol.2012.227","volume":"9","author":"A London","year":"2013","unstructured":"London, A., Benhar, I., Schwartz, M.: The retina as a window to the brain\u2014from eye research to CNS disorders. Nat. Rev. Neurol. 9(1), 44\u201353 (2013)","journal-title":"Nat. Rev. Neurol."},{"issue":"1","key":"20_CR14","doi-asserted-by":"publisher","first-page":"55","DOI":"10.1016\/j.jalz.2005.06.003","volume":"1","author":"SG Mueller","year":"2005","unstructured":"Mueller, S.G., Weiner, M.W., Thal, L.J., Petersen, R.C., Jack, C.R., Jagust, W., et al.: Ways toward an early diagnosis in Alzheimer\u2019s disease: the Alzheimer\u2019s disease neuroimaging initiative (ADNI). Alzheimer\u2019s Dementia 1(1), 55\u201366 (2005)","journal-title":"Alzheimer\u2019s Dementia"},{"issue":"2","key":"20_CR15","doi-asserted-by":"publisher","first-page":"e105","DOI":"10.1016\/S2468-2667(21)00249-8","volume":"7","author":"E Nichols","year":"2022","unstructured":"Nichols, E., Steinmetz, J.D., Vollset, S.E., Fukutaki, K., Chalek, J., Abd-Allah, F., et al.: Estimation of the global prevalence of dementia in 2019 and forecasted prevalence in 2050: an analysis for the global burden of disease study 2019. Lancet Public Health 7(2), e105\u2013e125 (2022)","journal-title":"Lancet Public Health"},{"issue":"4","key":"20_CR16","first-page":"639","volume":"45","author":"NP Palmer","year":"2022","unstructured":"Palmer, N.P., Ortega, B.T., Joshi, P.: Cognitive impairment in older adults: epidemiology, diagnosis, and treatment. Psychiatric Clin. 45(4), 639\u2013661 (2022)","journal-title":"Psychiatric Clin."},{"issue":"3","key":"20_CR17","doi-asserted-by":"publisher","first-page":"201","DOI":"10.1212\/WNL.0b013e3181cb3e25","volume":"74","author":"RC Petersen","year":"2010","unstructured":"Petersen, R.C., Aisen, P.S., Beckett, L.A., Donohue, M.C., Gamst, A.C., Harvey, D.J., et al.: Alzheimer\u2019s disease neuroimaging initiative (ADNI) clinical characterization. Neurology 74(3), 201\u2013209 (2010)","journal-title":"Neurology"},{"issue":"3","key":"20_CR18","volume":"17","author":"M Wang","year":"2025","unstructured":"Wang, M., Chen, L., Gong, Y., Pazo, E.E., Gao, F., Hu, L., et al.: Cognitive function correlates with retinal structural and vascular imaging parameters in Chinese older adults. Alzheimer\u2019s Dementia: Diagnosis, Assessment Disease Monitoring 17(3), e70147 (2025)","journal-title":"Alzheimer\u2019s Dementia: Diagnosis, Assessment Disease Monitoring"},{"issue":"1","key":"20_CR19","doi-asserted-by":"publisher","first-page":"139","DOI":"10.3233\/JAD-220482","volume":"90","author":"X Wang","year":"2022","unstructured":"Wang, X., Wang, Y., Liu, H., Zhu, X., Hao, X., Zhu, Y., et al.: Macular microvascular density as a diagnostic biomarker for Alzheimer\u2019s disease. J. Alzheimer\u2019s Disease 90(1), 139\u2013149 (2022)","journal-title":"J. Alzheimer\u2019s Disease"},{"key":"20_CR20","doi-asserted-by":"crossref","unstructured":"Wang, X., Li, H., Xiao, Z., Fu, H., Zhao, Y., Jin, R.: Screening of dementia on octa images via multi-projection consistency and complementarity. In: International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 688\u2013698. Springer (2022)","DOI":"10.1007\/978-3-031-16434-7_66"},{"issue":"6","key":"20_CR21","doi-asserted-by":"publisher","first-page":"e781","DOI":"10.1111\/aos.14381","volume":"98","author":"J Wu","year":"2020","unstructured":"Wu, J., Zhang, X., Azhati, G., Li, T., Xu, G., Liu, F.: Retinal microvascular attenuation in mental cognitive impairment and Alzheimer\u2019s disease by optical coherence tomography angiography. Acta Ophthalmol. 98(6), e781\u2013e787 (2020)","journal-title":"Acta Ophthalmol."},{"issue":"3","key":"20_CR22","doi-asserted-by":"publisher","first-page":"432","DOI":"10.1136\/bjo-2022-321399","volume":"108","author":"J Xie","year":"2024","unstructured":"Xie, J., Yi, Q., Wu, Y., Zheng, Y., Liu, Y., Macerollo, A., et al.: Deep segmentation of octa for evaluation and association of changes of retinal microvasculature with Alzheimer\u2019s disease and mild cognitive impairment. Br. J. Ophthalmol. 108(3), 432\u2013439 (2024)","journal-title":"Br. J. Ophthalmol."},{"issue":"6","key":"20_CR23","doi-asserted-by":"publisher","first-page":"489","DOI":"10.1016\/j.oret.2019.02.002","volume":"3","author":"SP Yoon","year":"2019","unstructured":"Yoon, S.P., Grewal, D.S., Thompson, A.C., Polascik, B.W., Dunn, C., Burke, J.R., et al.: Retinal microvascular and neurodegenerative changes in Alzheimer\u2019s disease and mild cognitive impairment compared with control participants. Ophthalmol. Retina 3(6), 489\u2013499 (2019)","journal-title":"Ophthalmol. Retina"},{"issue":"1","key":"20_CR24","doi-asserted-by":"publisher","first-page":"535","DOI":"10.1109\/JBHI.2024.3472011","volume":"29","author":"Y Zhang","year":"2024","unstructured":"Zhang, Y., Sun, K., Liu, Y., Xie, F., Guo, Q., Shen, D.: A modality-flexible framework for Alzheimer\u2019s disease diagnosis following clinical routine. IEEE J. Biomed. Health Inform. 29(1), 535\u2013546 (2024)","journal-title":"IEEE J. Biomed. Health Inform."}],"container-title":["Lecture Notes in Computer Science","Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2026"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-38098-2_20","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,9,24]],"date-time":"2026-09-24T18:13:52Z","timestamp":1790273632000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-38098-2_20"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,9,25]]},"ISBN":["9783032380975","9783032380982"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-38098-2_20","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,9,25]]},"assertion":[{"value":"25 September 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"The authors have no competing interests to declare that are relevant to the content of this article.","order":1,"name":"Ethics","label":"Disclosure of Interests","group":{"name":"EthicsHeading","label":"Ethics"}},{"value":"MICCAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Medical Image Computing and Computer-Assisted Intervention","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Strasbourg","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"France","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2026","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 September 2026","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1 October 2026","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"miccai2026","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/conferences.miccai.org\/2026\/en\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}