{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,2]],"date-time":"2026-10-02T19:36:26Z","timestamp":1790969786075,"version":"4.1.0"},"reference-count":48,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2024,11,16]],"date-time":"2024-11-16T00:00:00Z","timestamp":1731715200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","award":["2022R1A4A1030189"],"award-info":[{"award-number":["2022R1A4A1030189"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","award":["NRF-2020R1C1C1008362"],"award-info":[{"award-number":["NRF-2020R1C1C1008362"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100010418","name":"Institute for Information Communication Technology Planning and Evaluation","doi-asserted-by":"publisher","award":["IITP-2024-RS-2024-00360227"],"award-info":[{"award-number":["IITP-2024-RS-2024-00360227"]}],"id":[{"id":"10.13039\/501100010418","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100010418","name":"Institute for Information Communication Technology Planning and Evaluation","doi-asserted-by":"publisher","award":["IITP-2024-RS-2023-00254177"],"award-info":[{"award-number":["IITP-2024-RS-2023-00254177"]}],"id":[{"id":"10.13039\/501100010418","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["NeuroImage"],"published-print":{"date-parts":[[2024,12]]},"DOI":"10.1016\/j.neuroimage.2024.120940","type":"journal-article","created":{"date-parts":[[2024,11,23]],"date-time":"2024-11-23T21:18:55Z","timestamp":1732396735000},"page":"120940","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":5,"special_numbering":"C","title":["Differentiating atypical parkinsonian syndromes with hyperbolic few-shot contrastive learning"],"prefix":"10.1016","volume":"304","author":[{"given":"Won June","family":"Choi","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jin","family":"HwangBo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5489-4001","authenticated-orcid":false,"given":"Quan Anh","family":"Duong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jae-Hyeok","family":"Lee","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8827-402X","authenticated-orcid":false,"given":"Jin Kyu","family":"Gahm","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"1","key":"10.1016\/j.neuroimage.2024.120940_b1","doi-asserted-by":"crossref","first-page":"165","DOI":"10.1148\/radiol.2522081399","article-title":"Age-related iron deposition in the basal ganglia: quantitative analysis in healthy subjects","volume":"252","author":"Aquino","year":"2009","journal-title":"Radiology"},{"issue":"3","key":"10.1016\/j.neuroimage.2024.120940_b2","article-title":"Mini-Mental State Examination (MMSE) for the detection of Alzheimer\u2019s disease and other dementias in people with mild cognitive impairment (MCI)","author":"Arevalo-Rodriguez","year":"2015","journal-title":"Cochrane Database Syst. Rev."},{"issue":"3","key":"10.1016\/j.neuroimage.2024.120940_b3","doi-asserted-by":"crossref","first-page":"2033","DOI":"10.1016\/j.neuroimage.2010.09.025","article-title":"A reproducible evaluation of ANTs similarity metric performance in brain image registration","volume":"54","author":"Avants","year":"2011","journal-title":"Neuroimage"},{"issue":"3","key":"10.1016\/j.neuroimage.2024.120940_b4","doi-asserted-by":"crossref","first-page":"325","DOI":"10.1002\/mds.26471","article-title":"Multimodal MRI assessment of nigro-striatal pathway in multiple system atrophy and parkinson disease","volume":"31","author":"Barbagallo","year":"2016","journal-title":"Mov. Disorders"},{"key":"10.1016\/j.neuroimage.2024.120940_b5","doi-asserted-by":"crossref","unstructured":"Bertinetto, L., Mueller, R., Tertikas, K., Samangooei, S., Lord, N.A., 2020. Making better mistakes: Leveraging class hierarchies with deep networks. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. pp. 12506\u201312515.","DOI":"10.1109\/CVPR42600.2020.01252"},{"key":"10.1016\/j.neuroimage.2024.120940_b6","series-title":"Movement Disorders: a Video Atlas: a Video Atlas","first-page":"4","article-title":"Parkinson\u2019s disease: Hoehn and Yahr scale","author":"Bhidayasiri","year":"2012"},{"key":"10.1016\/j.neuroimage.2024.120940_b7","series-title":"A closer look at few-shot classification","author":"Chen","year":"2019"},{"key":"10.1016\/j.neuroimage.2024.120940_b8","doi-asserted-by":"crossref","first-page":"110","DOI":"10.1016\/j.mri.2017.02.002","article-title":"An improved FSL-FIRST pipeline for subcortical gray matter segmentation to study abnormal brain anatomy using quantitative susceptibility mapping (QSM)","volume":"39","author":"Feng","year":"2017","journal-title":"Magn. Reson. Imaging"},{"key":"10.1016\/j.neuroimage.2024.120940_b9","series-title":"Semi-supervised few-shot learning for medical image segmentation","author":"Feyjie","year":"2020"},{"issue":"2","key":"10.1016\/j.neuroimage.2024.120940_b10","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.neuroimage.2024.120940_b11","series-title":"International Conference on Machine Learning","first-page":"1646","article-title":"Hyperbolic entailment cones for learning hierarchical embeddings","author":"Ganea","year":"2018"},{"key":"10.1016\/j.neuroimage.2024.120940_b12","series-title":"Leveraging class hierarchies with metric-guided prototype learning","author":"Garnot","year":"2020"},{"key":"10.1016\/j.neuroimage.2024.120940_b13","series-title":"Hierarchical class-based curriculum loss","author":"Goyal","year":"2020"},{"issue":"1\u20132","key":"10.1016\/j.neuroimage.2024.120940_b14","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1016\/j.jns.2012.11.009","article-title":"Topographical differences of brain iron deposition between progressive supranuclear palsy and parkinsonian variant multiple system atrophy","volume":"325","author":"Han","year":"2013","journal-title":"J. Neurol. Sci."},{"key":"10.1016\/j.neuroimage.2024.120940_b15","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J., 2016. Deep residual learning for image recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 770\u2013778.","DOI":"10.1109\/CVPR.2016.90"},{"issue":"S6","key":"10.1016\/j.neuroimage.2024.120940_b16","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1002\/mds.10557","article-title":"Neuropathological spectrum of synucleinopathies","volume":"18","author":"Jellinger","year":"2003","journal-title":"Mov. Disord. Off. J. Mov. Disord. Soc."},{"key":"10.1016\/j.neuroimage.2024.120940_b17","series-title":"Variational deep embedding: An unsupervised and generative approach to clustering","author":"Jiang","year":"2016"},{"key":"10.1016\/j.neuroimage.2024.120940_b18","doi-asserted-by":"crossref","unstructured":"Khrulkov, V., Mirvakhabova, L., Ustinova, E., Oseledets, I., Lempitsky, V., 2020. Hyperbolic image embeddings. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. pp. 6418\u20136428.","DOI":"10.1109\/CVPR42600.2020.00645"},{"issue":"3","key":"10.1016\/j.neuroimage.2024.120940_b19","doi-asserted-by":"crossref","first-page":"637","DOI":"10.3390\/diagnostics12030637","article-title":"Automated differentiation of atypical parkinsonian syndromes using brain iron patterns in susceptibility weighted imaging","volume":"12","author":"Kim","year":"2022","journal-title":"Diagnostics"},{"key":"10.1016\/j.neuroimage.2024.120940_b20","series-title":"ICML Deep Learning Workshop, Vol. 2. No. 1","article-title":"Siamese neural networks for one-shot image recognition","author":"Koch","year":"2015"},{"key":"10.1016\/j.neuroimage.2024.120940_b21","first-page":"107","article-title":"Few shot learning for medical imaging","author":"Kotia","year":"2021","journal-title":"Mach. Learn. Algorithms Ind. Appl."},{"issue":"1","key":"10.1016\/j.neuroimage.2024.120940_b22","doi-asserted-by":"crossref","first-page":"317","DOI":"10.1109\/JSTARS.2013.2262926","article-title":"A kernel-based feature selection method for SVM with RBF kernel for hyperspectral image classification","volume":"7","author":"Kuo","year":"2013","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"issue":"2","key":"10.1016\/j.neuroimage.2024.120940_b23","doi-asserted-by":"crossref","first-page":"455","DOI":"10.1148\/radiol.10100495","article-title":"Quantitative MR imaging of brain iron: a postmortem validation study","volume":"257","author":"Langkammer","year":"2010","journal-title":"Radiology"},{"key":"10.1016\/j.neuroimage.2024.120940_b24","doi-asserted-by":"crossref","first-page":"2094","DOI":"10.1007\/s00415-013-6951-x","article-title":"Quantitative assessment of subcortical atrophy and iron content in progressive supranuclear Palsy and Parkinsonian variant of multiple system atrophy","volume":"260","author":"Lee","year":"2013","journal-title":"J. Neurol."},{"key":"10.1016\/j.neuroimage.2024.120940_b25","doi-asserted-by":"crossref","DOI":"10.3389\/fneur.2019.00074","article-title":"Brain iron accumulation in atypical Parkinsonian syndromes: in vivo MRI evidences for distinctive patterns","volume":"10","author":"Lee","year":"2019","journal-title":"Front. Neurol."},{"key":"10.1016\/j.neuroimage.2024.120940_b26","series-title":"Uniform manifold approximation and projection for dimension reduction","author":"Leland","year":"2018"},{"issue":"2","key":"10.1016\/j.neuroimage.2024.120940_b27","doi-asserted-by":"crossref","first-page":"363","DOI":"10.1111\/jon.12957","article-title":"Quantitative evaluation of brain iron accumulation in different stages of Parkinson\u2019s disease","volume":"32","author":"Li","year":"2022","journal-title":"J. Neuroimag."},{"issue":"2","key":"10.1016\/j.neuroimage.2024.120940_b28","doi-asserted-by":"crossref","first-page":"307","DOI":"10.1016\/S0016-0032(96)00063-4","article-title":"The Jensen\u2013Shannon divergence","volume":"334","author":"Men\u00e9ndez","year":"1997","journal-title":"J. Franklin Inst."},{"issue":"2","key":"10.1016\/j.neuroimage.2024.120940_b29","doi-asserted-by":"crossref","first-page":"232","DOI":"10.3174\/ajnr.A1461","article-title":"Susceptibility-weighted imaging: technical aspects and clinical applications, part 2","volume":"30","author":"Mittal","year":"2009","journal-title":"Am. J. Neuroradiol."},{"key":"10.1016\/j.neuroimage.2024.120940_b30","article-title":"Poincar\u00e9 embeddings for learning hierarchical representations","volume":"30","author":"Nickel","year":"2017","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"10.1016\/j.neuroimage.2024.120940_b31","series-title":"Wiley StatsRef: Statistics Reference Online","article-title":"Stratified sampling","author":"Parsons","year":"2017"},{"key":"10.1016\/j.neuroimage.2024.120940_b32","series-title":"2008 IEEE International Symposium on Information Theory","first-page":"1666","article-title":"Kullback\u2013Leibler divergence estimation of continuous distributions","author":"P\u00e9rez-Cruz","year":"2008"},{"key":"10.1016\/j.neuroimage.2024.120940_b33","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1016\/0377-0427(87)90125-7","article-title":"Silhouettes: a graphical aid to the interpretation and validation of cluster analysis","volume":"20","author":"Rousseeuw","year":"1987","journal-title":"J. Comput. Appl. Math."},{"key":"10.1016\/j.neuroimage.2024.120940_b34","series-title":"International Conference on Machine Learning","first-page":"5537","article-title":"A contrastive divergence for combining variational inference and mcmc","author":"Ruiz","year":"2019"},{"key":"10.1016\/j.neuroimage.2024.120940_b35","series-title":"International Conference on Machine Learning","first-page":"4460","article-title":"Representation tradeoffs for hyperbolic embeddings","author":"Sala","year":"2018"},{"key":"10.1016\/j.neuroimage.2024.120940_b36","first-page":"1239","article-title":"An F test for linear models with functional responses","author":"Shen","year":"2004","journal-title":"Statist. Sinica"},{"issue":"6","key":"10.1016\/j.neuroimage.2024.120940_b37","doi-asserted-by":"crossref","first-page":"759","DOI":"10.3390\/e23060759","article-title":"Silhouette analysis for performance evaluation in machine learning with applications to clustering","volume":"23","author":"Shutaywi","year":"2021","journal-title":"Entropy"},{"key":"10.1016\/j.neuroimage.2024.120940_b38","article-title":"Prototypical networks for few-shot learning","volume":"30","author":"Snell","year":"2017","journal-title":"Adv. Neural Inf. Process. Syst."},{"issue":"6","key":"10.1016\/j.neuroimage.2024.120940_b39","article-title":"Bayesian quadratic discriminant analysis","volume":"8","author":"Srivastava","year":"2007","journal-title":"J. Mach. Learn. Res."},{"key":"10.1016\/j.neuroimage.2024.120940_b40","series-title":"Manual of Pharmacologic Calculations: with Computer Programs","first-page":"140","article-title":"Chi-square test","author":"Tallarida","year":"1987"},{"issue":"4","key":"10.1016\/j.neuroimage.2024.120940_b41","doi-asserted-by":"crossref","first-page":"701","DOI":"10.1002\/mds.10171","article-title":"Parkinsonism in multiple system atrophy: natural history, severity (UPDRS-III), and disability assessment compared with Parkinson\u2019s disease","volume":"17","author":"Tison","year":"2002","journal-title":"Mov. Disorders"},{"issue":"6","key":"10.1016\/j.neuroimage.2024.120940_b42","doi-asserted-by":"crossref","first-page":"1310","DOI":"10.1109\/TMI.2010.2046908","article-title":"N4ITK: improved N3 bias correction","volume":"29","author":"Tustison","year":"2010","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"10","key":"10.1016\/j.neuroimage.2024.120940_b43","doi-asserted-by":"crossref","first-page":"1277","DOI":"10.1007\/BF02058271","article-title":"Midpoints in gyrogroups","volume":"26","author":"Ungar","year":"1996","journal-title":"Found. Phys."},{"key":"10.1016\/j.neuroimage.2024.120940_b44","doi-asserted-by":"crossref","first-page":"134388","DOI":"10.1109\/ACCESS.2019.2941912","article-title":"Dilated 3D convolutional neural networks for brain MRI data classification","volume":"7","author":"Wang","year":"2019","journal-title":"IEEE Access"},{"issue":"3","key":"10.1016\/j.neuroimage.2024.120940_b45","doi-asserted-by":"crossref","first-page":"249","DOI":"10.1007\/s41664-018-0068-2","article-title":"On splitting training and validation set: a comparative study of cross-validation, bootstrap and systematic sampling for estimating the generalization performance of supervised learning","volume":"2","author":"Xu","year":"2018","journal-title":"J. Anal. Test."},{"key":"10.1016\/j.neuroimage.2024.120940_b46","series-title":"International Conference on Medical Image Computing and Computer-Assisted Intervention","first-page":"594","article-title":"Skin lesion recognition with class-hierarchy regularized hyperbolic embeddings","author":"Yu","year":"2022"},{"key":"10.1016\/j.neuroimage.2024.120940_b47","series-title":"Hyperbolic contrastive learning","author":"Yue","year":"2023"},{"key":"10.1016\/j.neuroimage.2024.120940_b48","doi-asserted-by":"crossref","unstructured":"Zhang, J., Zhao, C., Ni, B., Xu, M., Yang, X., 2019. Variational few-shot learning. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision. pp. 1685\u20131694.","DOI":"10.1109\/ICCV.2019.00177"}],"container-title":["NeuroImage"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1053811924004373?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1053811924004373?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T11:38:05Z","timestamp":1778585885000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1053811924004373"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12]]},"references-count":48,"alternative-id":["S1053811924004373"],"URL":"https:\/\/doi.org\/10.1016\/j.neuroimage.2024.120940","relation":{},"ISSN":["1053-8119"],"issn-type":[{"value":"1053-8119","type":"print"}],"subject":[],"published":{"date-parts":[[2024,12]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Differentiating atypical parkinsonian syndromes with hyperbolic few-shot contrastive learning","name":"articletitle","label":"Article Title"},{"value":"NeuroImage","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.neuroimage.2024.120940","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2024 The Authors. Published by Elsevier Inc.","name":"copyright","label":"Copyright"}],"article-number":"120940"}}