{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T12:59:19Z","timestamp":1779368359892,"version":"3.53.0"},"reference-count":59,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100003395","name":"Shanghai Municipal Education Commission","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003395","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003399","name":"Shanghai Municipality Science and Technology Commission","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003399","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Medical Image Analysis"],"published-print":{"date-parts":[[2026,7]]},"DOI":"10.1016\/j.media.2026.104099","type":"journal-article","created":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T15:29:43Z","timestamp":1776871783000},"page":"104099","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":1,"special_numbering":"C","title":["<mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" altimg=\"si5.svg\" display=\"inline\" id=\"d1e922\">\n                      <mml:msup>\n                        <mml:mrow>\n                          <mml:mtext>E<\/mml:mtext>\n                        <\/mml:mrow>\n                        <mml:mrow>\n                          <mml:mn>2<\/mml:mn>\n                        <\/mml:mrow>\n                      <\/mml:msup>\n                    <\/mml:math>\n                    AD: Enhanced and explainable Alzheimer\u2019s disease detection framework via anatomy- and relation-aware cross-modal knowledge distillation"],"prefix":"10.1016","volume":"112","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-0799-7606","authenticated-orcid":false,"given":"Chenhui","family":"Wang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sirong","family":"Piao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0133-0509","authenticated-orcid":false,"given":"Zhihao","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-4305-5960","authenticated-orcid":false,"given":"Tao","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-1069-4134","authenticated-orcid":false,"given":"Zhaoyang","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-1496-5258","authenticated-orcid":false,"given":"Tongrui","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuxin","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xing-Ming","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0604-3197","authenticated-orcid":false,"given":"Hongming","family":"Shan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"5","key":"10.1016\/j.media.2026.104099_b1","doi-asserted-by":"crossref","first-page":"6587","DOI":"10.1109\/TPAMI.2022.3216518","article-title":"Gaussian RBF centered kernel alignment (CKA) in the large-bandwidth limit","volume":"45","author":"Alvarez","year":"2023","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.media.2026.104099_b2","series-title":"Alzheimer\u2019s Facts and Figures","author":"Alzheimer\u2019s Association","year":"2024"},{"issue":"365","key":"10.1016\/j.media.2026.104099_b3","first-page":"1","article-title":"Advanced normalization tools (ANTs)","volume":"2","author":"Avants","year":"2009","journal-title":"Insight"},{"issue":"4","key":"10.1016\/j.media.2026.104099_b4","first-page":"270","article-title":"The National Alzheimer\u2019s Coordinating Center (NACC) database: an Alzheimer disease database","volume":"18","author":"Beekly","year":"2004","journal-title":"Alzheimer Dis. Assoc. Disord."},{"issue":"5","key":"10.1016\/j.media.2026.104099_b5","doi-asserted-by":"crossref","first-page":"1113","DOI":"10.1093\/brain\/awl051","article-title":"Functional connectivity of the fusiform gyrus during a face-matching task in subjects with mild cognitive impairment","volume":"129","author":"Bokde","year":"2006","journal-title":"Brain"},{"key":"10.1016\/j.media.2026.104099_b6","series-title":"Dynamic differential linear attention: Enhancing linear diffusion transformer for high-quality image generation","author":"Cao","year":"2026"},{"issue":"12","key":"10.1016\/j.media.2026.104099_b7","doi-asserted-by":"crossref","first-page":"3566","DOI":"10.1109\/TMI.2023.3295489","article-title":"Disentangle first, then distill: a unified framework for missing modality imputation and Alzheimer\u2019s disease diagnosis","volume":"42","author":"Chen","year":"2023","journal-title":"IEEE Trans. Med. Imaging"},{"key":"10.1016\/j.media.2026.104099_b8","series-title":"MICCAI","first-page":"69","article-title":"PIPNet3D: Interpretable detection of Alzheimer in MRI scans","author":"De Santi","year":"2024"},{"issue":"3","key":"10.1016\/j.media.2026.104099_b9","doi-asserted-by":"crossref","first-page":"968","DOI":"10.1016\/j.neuroimage.2006.01.021","article-title":"An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest","volume":"31","author":"Desikan","year":"2006","journal-title":"NeuroImage"},{"issue":"8","key":"10.1016\/j.media.2026.104099_b10","doi-asserted-by":"crossref","first-page":"6029","DOI":"10.1109\/JBHI.2025.3546950","article-title":"Modality imbalance? Dynamic multi-modal knowledge distillation in automatic Alzheimer\u2019s disease recognition","volume":"29","author":"Dong","year":"2025","journal-title":"IEEE J. Biomed. Health Inf."},{"issue":"4","key":"10.1016\/j.media.2026.104099_b11","doi-asserted-by":"crossref","first-page":"672","DOI":"10.1017\/S1041610209009405","article-title":"The Australian Imaging, Biomarkers and Lifestyle (AIBL) study of aging: methodology and baseline characteristics of 1112 individuals recruited for a longitudinal study of Alzheimer\u2019s disease","volume":"21","author":"Ellis","year":"2009","journal-title":"Int. Psychogeriatr."},{"issue":"2","key":"10.1016\/j.media.2026.104099_b12","doi-asserted-by":"crossref","first-page":"774","DOI":"10.1016\/j.neuroimage.2012.01.021","article-title":"FreeSurfer","volume":"62","author":"Fischl","year":"2012","journal-title":"NeuroImage"},{"key":"10.1016\/j.media.2026.104099_b13","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuroimage.2021.118586","article-title":"MRI-based Alzheimer\u2019s disease prediction via distilling the knowledge in multi-modal data","volume":"244","author":"Guan","year":"2021","journal-title":"NeuroImage"},{"key":"10.1016\/j.media.2026.104099_b14","series-title":"DeepSeek-R1: Incentivizing reasoning capability in LLMs via reinforcement learning","author":"Guo","year":"2025"},{"key":"10.1016\/j.media.2026.104099_b15","series-title":"ICCV","first-page":"1026","article-title":"Delving deep into rectifiers: Surpassing human-level performance on ImageNet classification","author":"He","year":"2015"},{"key":"10.1016\/j.media.2026.104099_b16","series-title":"CVPR","first-page":"770","article-title":"Deep residual learning for image recognition","author":"He","year":"2016"},{"issue":"49","key":"10.1016\/j.media.2026.104099_b17","doi-asserted-by":"crossref","first-page":"20954","DOI":"10.1073\/pnas.0906053106","article-title":"Subregional neuroanatomical change as a biomarker for Alzheimer\u2019s disease","volume":"106","author":"Holland","year":"2009","journal-title":"Proc. Natl. Acad. Sci."},{"key":"10.1016\/j.media.2026.104099_b18","series-title":"CVPR","first-page":"7132","article-title":"Squeeze-and-excitation networks","author":"Hu","year":"2018"},{"issue":"3","key":"10.1016\/j.media.2026.104099_b19","doi-asserted-by":"crossref","first-page":"2061","DOI":"10.1109\/JBHI.2024.3512417","article-title":"A lightweight deep convolutional neural network extracting local and global contextual features for the classification of Alzheimer\u2019s disease using structural MRI","volume":"29","author":"Jabason","year":"2024","journal-title":"IEEE J. Biomed. Health Inf."},{"key":"10.1016\/j.media.2026.104099_b20","series-title":"CVPR","first-page":"20718","article-title":"M3T: three-dimensional medical image classifier using multi-plane and multi-slice transformer","author":"Jang","year":"2022"},{"issue":"2","key":"10.1016\/j.media.2026.104099_b21","doi-asserted-by":"crossref","first-page":"782","DOI":"10.1016\/j.neuroimage.2011.09.015","article-title":"FSL","volume":"62","author":"Jenkinson","year":"2012","journal-title":"NeuroImage"},{"key":"10.1016\/j.media.2026.104099_b22","series-title":"MICCAI","first-page":"90","article-title":"Anatomy-aware gating network for explainable Alzheimer\u2019s disease diagnosis","author":"Jiang","year":"2024"},{"issue":"12","key":"10.1016\/j.media.2026.104099_b23","doi-asserted-by":"crossref","first-page":"1701","DOI":"10.1093\/cercor\/bhj105","article-title":"Differential regional atrophy of the cingulate gyrus in Alzheimer disease: a volumetric MRI study","volume":"16","author":"Jones","year":"2006","journal-title":"Cereb. Cortex"},{"key":"10.1016\/j.media.2026.104099_b24","doi-asserted-by":"crossref","first-page":"14218","DOI":"10.1109\/TASE.2025.3556290","article-title":"A cross-modal mutual knowledge distillation framework for Alzheimer\u2019s disease diagnosis: Addressing incomplete modalities","volume":"22","author":"Kwak","year":"2025","journal-title":"IEEE Trans. Autom. Sci. Eng."},{"key":"10.1016\/j.media.2026.104099_b25","first-page":"1","article-title":"Interpretable brain MRI report generation anchored by lesion topography","author":"Lei","year":"2025","journal-title":"IEEE J. Biomed. Health Inf."},{"key":"10.1016\/j.media.2026.104099_b26","series-title":"NeurIPS","first-page":"9459","article-title":"Retrieval-augmented generation for knowledge-intensive NLP tasks","author":"Lewis","year":"2020"},{"issue":"8","key":"10.1016\/j.media.2026.104099_b27","doi-asserted-by":"crossref","first-page":"1875","DOI":"10.1109\/TMI.2019.2902044","article-title":"Personalized radiotherapy design for glioblastoma: Integrating mathematical tumor models, multimodal scans, and Bayesian inference","volume":"38","author":"Lipkov\u00e1","year":"2019","journal-title":"IEEE Trans. Med. Imaging"},{"key":"10.1016\/j.media.2026.104099_b28","doi-asserted-by":"crossref","DOI":"10.1016\/j.compmedimag.2025.102664","article-title":"CRAD: Cognitive aware feature refinement with missing modalities for early Alzheimer\u2019s progression prediction","author":"Liu","year":"2025","journal-title":"Comput. Med. Imaging Graph."},{"key":"10.1016\/j.media.2026.104099_b29","series-title":"CVPR","first-page":"3202","article-title":"Video swin transformer","author":"Liu","year":"2022"},{"key":"10.1016\/j.media.2026.104099_b30","doi-asserted-by":"crossref","first-page":"157","DOI":"10.1016\/j.media.2017.10.005","article-title":"Landmark-based deep multi-instance learning for brain disease diagnosis","volume":"43","author":"Liu","year":"2018","journal-title":"Med. Image Anal."},{"key":"10.1016\/j.media.2026.104099_b31","doi-asserted-by":"crossref","first-page":"337","DOI":"10.1016\/j.neuroimage.2013.02.047","article-title":"Longitudinal changes in sulcal morphology associated with late-life aging and MCI","volume":"74","author":"Liu","year":"2013","journal-title":"NeuroImage"},{"key":"10.1016\/j.media.2026.104099_b32","series-title":"IJCAI","first-page":"4769","article-title":"A prior-information-guided residual diffusion model for multi-modal PET synthesis from MRI","author":"Ou","year":"2024"},{"issue":"9","key":"10.1016\/j.media.2026.104099_b33","doi-asserted-by":"crossref","first-page":"2965","DOI":"10.1109\/TMI.2020.2983085","article-title":"Spatially-constrained Fisher representation for brain disease identification with incomplete multi-modal neuroimages","volume":"39","author":"Pan","year":"2020","journal-title":"IEEE Trans. Med. Imaging"},{"key":"10.1016\/j.media.2026.104099_b34","series-title":"NeurIPS","article-title":"PyTorch: An imperative style, high-performance deep learning library","author":"Paszke","year":"2019"},{"issue":"3","key":"10.1016\/j.media.2026.104099_b35","doi-asserted-by":"crossref","first-page":"201","DOI":"10.1212\/WNL.0b013e3181cb3e25","article-title":"Alzheimer\u2019s disease neuroimaging initiative (ADNI): Clinical characterization","volume":"74","author":"Petersen","year":"2010","journal-title":"Neurology"},{"key":"10.1016\/j.media.2026.104099_b36","doi-asserted-by":"crossref","first-page":"98","DOI":"10.1016\/j.neurobiolaging.2018.01.009","article-title":"Heterogeneous patterns of brain atrophy in Alzheimer\u2019s disease","volume":"65","author":"Poulakis","year":"2018","journal-title":"Neurobiol. Aging"},{"issue":"1","key":"10.1016\/j.media.2026.104099_b37","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1016\/j.pscychresns.2011.06.014","article-title":"Amygdala atrophy is prominent in early Alzheimer\u2019s disease and relates to symptom severity","volume":"194","author":"Poulin","year":"2011","journal-title":"Psychiatry Res. Neuroimaging"},{"issue":"9","key":"10.1016\/j.media.2026.104099_b38","doi-asserted-by":"crossref","first-page":"3161","DOI":"10.1109\/TMI.2024.3386937","article-title":"3D multimodal fusion network with disease-induced joint learning for early Alzheimer\u2019s disease diagnosis","volume":"43","author":"Qiu","year":"2024","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"6","key":"10.1016\/j.media.2026.104099_b39","doi-asserted-by":"crossref","first-page":"1920","DOI":"10.1093\/brain\/awaa137","article-title":"Development and validation of an interpretable deep learning framework for Alzheimer\u2019s disease classification","volume":"143","author":"Qiu","year":"2020","journal-title":"Brain"},{"issue":"3","key":"10.1016\/j.media.2026.104099_b40","doi-asserted-by":"crossref","first-page":"547","DOI":"10.3233\/JAD-2011-101782","article-title":"Synaptic loss in the inferior temporal gyrus in mild cognitive impairment and Alzheimer\u2019s disease","volume":"24","author":"Scheff","year":"2011","journal-title":"J. Alzheimers Dis."},{"key":"10.1016\/j.media.2026.104099_b41","series-title":"DINOv3","author":"Sim\u00e9oni","year":"2025"},{"key":"10.1016\/j.media.2026.104099_b42","doi-asserted-by":"crossref","DOI":"10.1016\/j.media.2025.103794","article-title":"Developing a knowledge-guided federated graph attention learning network with a diffusion module to diagnose Alzheimer\u2019s Disease","author":"Song","year":"2026","journal-title":"Med. Image Anal."},{"issue":"1","key":"10.1016\/j.media.2026.104099_b43","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1006\/nimg.2001.0978","article-title":"Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain","volume":"15","author":"Tzourio-Mazoyer","year":"2002","journal-title":"Neuroimage"},{"key":"10.1016\/j.media.2026.104099_b44","series-title":"NeurIPS","article-title":"Attention is all you need","author":"Vaswani","year":"2017"},{"key":"10.1016\/j.media.2026.104099_b45","series-title":"ICASSP","first-page":"2240","article-title":"Patch-level knowledge distillation and regularization for missing modality medical image segmentation","author":"Wang","year":"2024"},{"issue":"11","key":"10.1016\/j.media.2026.104099_b46","doi-asserted-by":"crossref","first-page":"6429","DOI":"10.1109\/JBHI.2024.3357453","article-title":"HOPE: Hybrid-granularity ordinal prototype learning for progression prediction of mild cognitive impairment","volume":"28","author":"Wang","year":"2024","journal-title":"IEEE J. Biomed. Health Inf."},{"key":"10.1016\/j.media.2026.104099_b47","doi-asserted-by":"crossref","DOI":"10.1016\/j.media.2023.103032","article-title":"Joint learning framework of cross-modal synthesis and diagnosis for Alzheimer\u2019s disease by mining underlying shared modality information","volume":"91","author":"Wang","year":"2024","journal-title":"Med. Image Anal."},{"issue":"6","key":"10.1016\/j.media.2026.104099_b48","doi-asserted-by":"crossref","first-page":"3513","DOI":"10.1109\/JBHI.2024.3383885","article-title":"Deep self-reconstruction fusion similarity hashing for the diagnosis of Alzheimer\u2019s disease on multi-modal data","volume":"28","author":"Wu","year":"2024","journal-title":"IEEE J. Biomed. Health Inf."},{"key":"10.1016\/j.media.2026.104099_b49","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2025.111597","article-title":"Disentanglement and codebook learning-induced feature match network to diagnose neurodegenerative diseases on incomplete multimodal data","volume":"165","author":"Xiong","year":"2025","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.media.2026.104099_b50","doi-asserted-by":"crossref","DOI":"10.1016\/j.media.2024.103448","article-title":"Domain-specific information preservation for alzheimer\u2019s disease diagnosis with incomplete multi-modality neuroimages","volume":"101","author":"Xu","year":"2025","journal-title":"Med. Image Anal."},{"key":"10.1016\/j.media.2026.104099_b51","series-title":"MICCAI","first-page":"58","article-title":"Advancing brain imaging analysis step-by-step via progressive self-paced learning","author":"Yang","year":"2024"},{"key":"10.1016\/j.media.2026.104099_b52","doi-asserted-by":"crossref","DOI":"10.1016\/j.media.2023.102916","article-title":"CReg-KD: Model refinement via confidence regularized knowledge distillation for brain imaging","volume":"89","author":"Yang","year":"2023","journal-title":"Med. Image Anal."},{"key":"10.1016\/j.media.2026.104099_b53","series-title":"BIBM","first-page":"1343","article-title":"Multi-modal dynamic graph network: Coupling structural and functional connectome for disease diagnosis and classification","author":"Yang","year":"2022"},{"issue":"6","key":"10.1016\/j.media.2026.104099_b54","doi-asserted-by":"crossref","first-page":"3637","DOI":"10.1109\/JBHI.2024.3368500","article-title":"MAD-Former: A traceable interpretability model for Alzheimer\u2019s disease recognition based on multi-patch attention","volume":"28","author":"Ye","year":"2024","journal-title":"IEEE J. Biomed. Health Inf."},{"key":"10.1016\/j.media.2026.104099_b55","series-title":"ICLR","article-title":"Differential transformer","author":"Ye","year":"2025"},{"issue":"1","key":"10.1016\/j.media.2026.104099_b56","doi-asserted-by":"crossref","first-page":"535","DOI":"10.1109\/JBHI.2024.3472011","article-title":"A modality-flexible framework for Alzheimer\u2019s disease diagnosis following clinical routine","volume":"29","author":"Zhang","year":"2024","journal-title":"IEEE J. Biomed. Health Inf."},{"key":"10.1016\/j.media.2026.104099_b57","series-title":"ISBI","first-page":"1","article-title":"Video4MRI: an empirical study on brain magnetic resonance image analytics with CNN-based video classification frameworks","author":"Zhang","year":"2023"},{"issue":"1","key":"10.1016\/j.media.2026.104099_b58","doi-asserted-by":"crossref","first-page":"142","DOI":"10.1109\/TMI.2024.3432531","article-title":"Multi-modal diagnosis of Alzheimer\u2019s disease using interpretable graph convolutional networks","volume":"44","author":"Zhou","year":"2024","journal-title":"IEEE Trans. Med. Imaging"},{"key":"10.1016\/j.media.2026.104099_b59","series-title":"IJCAI","first-page":"5680","article-title":"Rethinking centered kernel alignment in knowledge distillation","author":"Zhou","year":"2024"}],"container-title":["Medical Image Analysis"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1361841526001684?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1361841526001684?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T10:08:26Z","timestamp":1777889306000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1361841526001684"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7]]},"references-count":59,"alternative-id":["S1361841526001684"],"URL":"https:\/\/doi.org\/10.1016\/j.media.2026.104099","relation":{},"ISSN":["1361-8415"],"issn-type":[{"value":"1361-8415","type":"print"}],"subject":[],"published":{"date-parts":[[2026,7]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"AD: Enhanced and explainable Alzheimer\u2019s disease detection framework via anatomy- and relation-aware cross-modal knowledge distillation","name":"articletitle","label":"Article Title"},{"value":"Medical Image Analysis","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.media.2026.104099","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":"104099"}}