{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,6]],"date-time":"2026-09-06T05:12:02Z","timestamp":1788671522304,"version":"build-2803163510"},"reference-count":19,"publisher":"Springer Science and Business Media LLC","issue":"9","license":[{"start":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T00:00:00Z","timestamp":1770940800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T00:00:00Z","timestamp":1770940800000},"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":["Pediatr Radiol"],"DOI":"10.1007\/s00247-026-06545-x","type":"journal-article","created":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T10:34:07Z","timestamp":1770978847000},"page":"2021-2032","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Deep learning-based cerebellar segmentation on T2-weighted fluid-attenuated inversion recovery magnetic resonance imaging for detecting cerebellar hypoplasia\/atrophy in infants"],"prefix":"10.1007","volume":"56","author":[{"given":"Qiaoqiao","family":"Zou","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kexin","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zuqiang","family":"Xi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yaofeng","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoying","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,2,13]]},"reference":[{"key":"6545_CR1","doi-asserted-by":"publisher","first-page":"561","DOI":"10.1093\/brain\/121.4.561","volume":"121","author":"JD Schmahmann","year":"1998","unstructured":"Schmahmann JD, Sherman JC (1998) The cerebellar cognitive affective syndrome. Brain 121:561\u2013579","journal-title":"Brain"},{"key":"6545_CR2","doi-asserted-by":"publisher","first-page":"151","DOI":"10.1007\/s12311-013-0511-x","volume":"13","author":"LF Koziol","year":"2014","unstructured":"Koziol LF, Budding D, Andreasen N et al (2014) Consensus paper: the cerebellum\u2019s role in movement and cognition. Cerebellum 13:151\u2013177. https:\/\/doi.org\/10.1007\/s12311-013-0511-x","journal-title":"Cerebellum"},{"key":"6545_CR3","doi-asserted-by":"publisher","first-page":"614","DOI":"10.1002\/aur.2083","volume":"12","author":"I Pote","year":"2019","unstructured":"Pote I, Wang S, Sethna V et al (2019) Familial risk of autism alters subcortical and cerebellar brain anatomy in infants and predicts the emergence of repetitive behaviors in early childhood. Autism Res 12:614\u2013627. https:\/\/doi.org\/10.1002\/aur.2083","journal-title":"Autism Res"},{"key":"6545_CR4","doi-asserted-by":"publisher","first-page":"211","DOI":"10.1002\/ajmg.c.31398","volume":"166C","author":"A Poretti","year":"2014","unstructured":"Poretti A, Boltshauser E, Doherty D (2014) Cerebellar hypoplasia: differential diagnosis and diagnostic approach. Am J Med Genet C Semin Med Genet 166C:211\u2013226","journal-title":"Am J Med Genet C Semin Med Genet"},{"key":"6545_CR5","doi-asserted-by":"publisher","first-page":"1287","DOI":"10.1002\/hbm.25293","volume":"42","author":"JE Romero","year":"2021","unstructured":"Romero JE, Coupe P, Lanuza E et al (2021) Toward a unified analysis of cerebellum maturation and aging across the entire lifespan: a MRI analysis. Hum Brain Mapp 42:1287\u20131303. https:\/\/doi.org\/10.1002\/hbm.25293","journal-title":"Hum Brain Mapp"},{"key":"6545_CR6","doi-asserted-by":"publisher","first-page":"491","DOI":"10.1016\/S0010-9452(08)70018-2","volume":"38","author":"DVM Bishop","year":"2002","unstructured":"Bishop DVM (2002) Cerebellar abnormalities in developmental dyslexia: cause, correlate or consequence? Cortex 38:491\u2013498","journal-title":"Cortex"},{"key":"6545_CR7","doi-asserted-by":"publisher","first-page":"275","DOI":"10.1097\/RMR.0000000000000175","volume":"27","author":"CAPF Alves","year":"2018","unstructured":"Alves CAPF, Fragoso DC, Gon\u00e7alves FG et al (2018) Cerebellar ataxia in children: a clinical and MRI approach to the differential diagnosis. Top Magn Reson Imaging 27:275\u2013302. https:\/\/doi.org\/10.1097\/RMR.0000000000000175","journal-title":"Top Magn Reson Imaging"},{"key":"6545_CR8","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-024-61798-6","volume":"14","author":"J Simarro","year":"2024","unstructured":"Simarro J, Meyer MI, Van Eyndhoven S et al (2024) A deep learning model for brain segmentation across pediatric and adult populations. Sci Rep 14:11735. https:\/\/doi.org\/10.1038\/s41598-024-61798-6","journal-title":"Sci Rep"},{"key":"6545_CR9","doi-asserted-by":"publisher","first-page":"1074","DOI":"10.1007\/s12311-023-01609-2","volume":"23","author":"DJ Sobootian","year":"2024","unstructured":"Sobootian DJ, Bronzlik P, Spineli LM et al (2024) Convolutional neural network for fully automated cerebellar volumetry in children in comparison to manual segmentation and developmental trajectory of cerebellar volumes. Cerebellum 23:1074\u20131085. https:\/\/doi.org\/10.1007\/s12311-023-01609-2","journal-title":"Cerebellum"},{"key":"6545_CR10","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-023-40446-z","volume":"14","author":"Y Sun","year":"2023","unstructured":"Sun Y, Wang L, Gao K et al (2023) Self-supervised learning with application for infant cerebellum segmentation and analysis. Nat Commun 14:4717. https:\/\/doi.org\/10.1038\/s41467-023-40446-z","journal-title":"Nat Commun"},{"key":"6545_CR11","unstructured":"Efficient claustrum segmentation in T2-weighted neonatal brain MRI using transfer learning from adult scans | Clinical Neuroradiology. https:\/\/link.springer.com\/article\/10.1007\/s00062-021-01137-8. Accessed 23 Sept 2025"},{"key":"6545_CR12","doi-asserted-by":"publisher","unstructured":"(2013) Pontocerebellar hypoplasia in extreme prematurity: clinical and neuroimaging findings. Pediatric Neurology 48:48\u201351. https:\/\/doi.org\/10.1016\/j.pediatrneurol.2012.09.003","DOI":"10.1016\/j.pediatrneurol.2012.09.003"},{"key":"6545_CR13","doi-asserted-by":"publisher","unstructured":"(2008) Differential diagnosis of cerebellar atrophy in childhood. European Journal of Paediatric Neurology 12:155\u2013167. https:\/\/doi.org\/10.1016\/j.ejpn.2007.07.010","DOI":"10.1016\/j.ejpn.2007.07.010"},{"key":"6545_CR14","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1016\/B978-0-444-64189-2.00006-8","volume":"155","author":"E Bertini","year":"2018","unstructured":"Bertini E, Zanni G, Boltshauser E (2018) Nonprogressive congenital ataxias. Handb Clin Neurol 155:91\u2013103","journal-title":"Handb Clin Neurol"},{"key":"6545_CR15","doi-asserted-by":"crossref","unstructured":"Milletari F, Navab N, Ahmadi S-A (2016) V-Net: fully convolutional neural networks for volumetric medical image segmentation. https:\/\/arxiv.org\/abs\/1606.04797","DOI":"10.1109\/3DV.2016.79"},{"key":"6545_CR16","doi-asserted-by":"publisher","first-page":"7099","DOI":"10.1007\/s00330-023-09632-x","volume":"33","author":"S Yamada","year":"2023","unstructured":"Yamada S, Otani T, Ii S et al (2023) Aging-related volume changes in the brain and cerebrospinal fluid using artificial intelligence-automated segmentation. Eur Radiol 33:7099\u20137112. https:\/\/doi.org\/10.1007\/s00330-023-09632-x","journal-title":"Eur Radiol"},{"key":"6545_CR17","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1007\/s00234-018-2121-2","volume":"61","author":"E Beller","year":"2019","unstructured":"Beller E, Keeser D, Wehn A et al (2019) T1-MPRAGE and T2-FLAIR segmentation of cortical and subcortical brain regions-an MRI evaluation study. Neuroradiology 61:129\u2013136. https:\/\/doi.org\/10.1007\/s00234-018-2121-2","journal-title":"Neuroradiology"},{"key":"6545_CR18","doi-asserted-by":"publisher","first-page":"12176","DOI":"10.1523\/JNEUROSCI.3479-08.2008","volume":"28","author":"RC Knickmeyer","year":"2008","unstructured":"Knickmeyer RC, Gouttard S, Kang C et al (2008) A structural MRI study of human brain development from birth to 2 years. J Neurosci 28:12176\u201312182. https:\/\/doi.org\/10.1523\/JNEUROSCI.3479-08.2008","journal-title":"J Neurosci"},{"key":"6545_CR19","doi-asserted-by":"publisher","first-page":"460","DOI":"10.1111\/dmcn.12289","volume":"56","author":"A Al-Maawali","year":"2014","unstructured":"Al-Maawali A, Blaser S, Zhao XY, Yoon G (2014) Prospective study of activities of daily living outcomes in children with cerebellar atrophy. Dev Med Child Neurol 56:460\u2013467","journal-title":"Dev Med Child Neurol"}],"container-title":["Pediatric Radiology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00247-026-06545-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00247-026-06545-x","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00247-026-06545-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,9,6]],"date-time":"2026-09-06T04:20:34Z","timestamp":1788668434000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00247-026-06545-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,2,13]]},"references-count":19,"journal-issue":{"issue":"9","published-online":{"date-parts":[[2026,8]]}},"alternative-id":["6545"],"URL":"https:\/\/doi.org\/10.1007\/s00247-026-06545-x","relation":{},"ISSN":["1432-1998"],"issn-type":[{"value":"1432-1998","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,2,13]]},"assertion":[{"value":"5 March 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 January 2026","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"30 January 2026","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 February 2026","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"Two authors (Z.Q.X., Y.F.Z.) are employees of Beijing Smart Tree Medical Technology\u00a0Co. Ltd.. The other authors of this manuscript declare no relationships with any companies whose products or services may be related to the subject matter of the article.","order":1,"name":"Ethics","label":"Conflicts of interest","group":{"name":"EthicsHeading","label":"Declarations"}}]}}