{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,13]],"date-time":"2026-03-13T16:01:49Z","timestamp":1773417709557,"version":"3.50.1"},"reference-count":64,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/100000070","name":"NIBIB","doi-asserted-by":"publisher","award":["P41-EB027061"],"award-info":[{"award-number":["P41-EB027061"]}],"id":[{"id":"10.13039\/100000070","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000065","name":"NINDS","doi-asserted-by":"publisher","award":["R01-NS081118"],"award-info":[{"award-number":["R01-NS081118"]}],"id":[{"id":"10.13039\/100000065","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000065","name":"NINDS","doi-asserted-by":"publisher","award":["R01-NS113746"],"award-info":[{"award-number":["R01-NS113746"]}],"id":[{"id":"10.13039\/100000065","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000065","name":"NINDS","doi-asserted-by":"publisher","award":["P30-NS076408"],"award-info":[{"award-number":["P30-NS076408"]}],"id":[{"id":"10.13039\/100000065","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000065","name":"University of Minnesota Udall center","doi-asserted-by":"publisher","award":["P50-NS098573"],"award-info":[{"award-number":["P50-NS098573"]}],"id":[{"id":"10.13039\/100000065","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.2998537","type":"journal-article","created":{"date-parts":[[2020,5,30]],"date-time":"2020-05-30T00:31:46Z","timestamp":1590798706000},"page":"101550-101568","source":"Crossref","is-referenced-by-count":18,"title":["Deep Cerebellar Nuclei Segmentation via Semi-Supervised Deep Context-Aware Learning from 7T Diffusion MRI"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5862-0363","authenticated-orcid":false,"given":"Jinyoung","family":"Kim","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2928-3772","authenticated-orcid":false,"given":"Remi","family":"Patriat","sequence":"additional","affiliation":[]},{"given":"Jordan","family":"Kaplan","sequence":"additional","affiliation":[]},{"given":"Oren","family":"Solomon","sequence":"additional","affiliation":[]},{"given":"Noam","family":"Harel","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2930068"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2886371"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2903562"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2699184"},{"key":"ref31","first-page":"1","article-title":"Multi-scale context aggregation by dilated convolutions","author":"yu","year":"2016","journal-title":"Proc ICLR"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2926697"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2016.79"},{"key":"ref36","first-page":"260","article-title":"Exclusive independent probability estimation using deep 3D fully convolutional DenseNets?: Application to IsoIntense infant brain MRI segmentation","author":"hashemi","year":"2019","journal-title":"Proc MIDL"},{"key":"ref35","first-page":"1","article-title":"Encoder-decoder with Atrous separable convolution for semantic image segmentation","author":"chen","year":"2018","journal-title":"Proc ECCV"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00120"},{"key":"ref60","article-title":"Continuous dice coefficient: A method for evaluating probabilistic segmentations","author":"shamir","year":"2019","journal-title":"arXiv 1906 11031"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1016\/j.crad.2015.09.010"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.3389\/fnana.2015.00041"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1093\/ons\/opx131"},{"key":"ref28","first-page":"407","article-title":"Diffusion weighted magnetic resonance imaging and its recent trend-a survey","volume":"5","author":"soujanya chilla","year":"2015","journal-title":"Quantum Imag Med Surg"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1002\/nbm.3492"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.4329\/wjr.v8.i9.785"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1080\/14734220500348584"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s12311-008-0063-7"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2017.04.039"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2016.10.004"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2019.01.012"},{"key":"ref23","first-page":"234","article-title":"U-Net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"Proc MICCAI"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2018.10.004"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.156"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2016.09.023"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0201469"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2007.07.007"},{"key":"ref58","first-page":"1","article-title":"ADAM: A method for stochastic optimization","author":"kingma","year":"2015","journal-title":"Proc ICLR"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"ref56","year":"2020","journal-title":"SPM12"},{"key":"ref55","year":"2020","journal-title":"TensorFlow™"},{"key":"ref54","year":"2020","journal-title":"Keras"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2844175"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.24404"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2006.05.056"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2009.01.045"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2018.11.042"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2012.6235758"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2018.08.003"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1227\/NEU.0b013e3181f74105"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.3171\/2010.3.JNS091385"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s00701-012-1476-0"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2010.10.035"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2011.05.045"},{"key":"ref19","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"lecun","year":"2015","journal-title":"Nature"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s12311-009-0119-3"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s12311-014-0627-7"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3171\/2018.5.FOCUS18164"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.3389\/neuro.03.014.2009"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/s12311-019-01041-5"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1212\/WNL.0000000000002204"},{"key":"ref49","year":"2020","journal-title":"FSL (FMRIB Software)"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2007.06.036"},{"key":"ref46","first-page":"1","article-title":"Learn to pay attention","author":"jetley","year":"2018","journal-title":"Proc ICLR"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2858826"},{"key":"ref48","first-page":"1","article-title":"Distilling the knowledge in a neural network","author":"hinton","year":"2014","journal-title":"Proc NIPS Workshop (Deep Learn )"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.2307\/1932409"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1002\/mp.13240"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00433"},{"key":"ref44","first-page":"379","article-title":"Tversky loss function for image segmentation using 3D fully convolutional deep networks","volume":"2017","author":"sadegh","year":"0","journal-title":"Proc MICCAI Workshop (MLMI)"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.106"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/09103509.pdf?arnumber=9103509","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T15:56:54Z","timestamp":1642003014000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9103509\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":64,"URL":"https:\/\/doi.org\/10.1109\/access.2020.2998537","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}