{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,19]],"date-time":"2026-02-19T14:18:21Z","timestamp":1771510701133,"version":"3.50.1"},"reference-count":61,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2022,9,1]],"date-time":"2022-09-01T00:00:00Z","timestamp":1661990400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,9,1]],"date-time":"2022-09-01T00:00:00Z","timestamp":1661990400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,9,1]],"date-time":"2022-09-01T00:00:00Z","timestamp":1661990400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61976075"],"award-info":[{"award-number":["61976075"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62036009"],"award-info":[{"award-number":["62036009"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61972356"],"award-info":[{"award-number":["61972356"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Fundamental Research Funds for the Provincial Universities of Zhejiang","award":["RF-A2020001"],"award-info":[{"award-number":["RF-A2020001"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Cogn. Dev. Syst."],"published-print":{"date-parts":[[2022,9]]},"DOI":"10.1109\/tcds.2021.3094555","type":"journal-article","created":{"date-parts":[[2021,7,5]],"date-time":"2021-07-05T20:05:16Z","timestamp":1625515516000},"page":"1066-1081","source":"Crossref","is-referenced-by-count":5,"title":["Vector Field Streamline Clustering Framework for Brain Fiber Tract Segmentation"],"prefix":"10.1109","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0955-5611","authenticated-orcid":false,"given":"Chaoqing","family":"Xu","sequence":"first","affiliation":[{"name":"Department of Computer Science, Zhejiang University of Technology, Hangzhou, China"}]},{"given":"Guodao","family":"Sun","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Zhejiang University of Technology, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2077-9608","authenticated-orcid":false,"given":"Ronghua","family":"Liang","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Zhejiang University of Technology, Hangzhou, China"}]},{"given":"Xiufang","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Medical Imaging, Hangzhou Medical College, Hangzhou, China"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2013.04.066"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2855437"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2006.03.055"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICBBE.2009.5163763"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2018.05.019"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/1553374.1553453"},{"key":"ref37","author":"masters","year":"2018","journal-title":"Revisiting small batch training for deep neural networks"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2010.212"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-73273-0_31"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2007.10.003"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00672"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.24579"},{"key":"ref28","author":"keskar","year":"2016","journal-title":"On large-batch training for deep learning Generalization gap and sharp minima"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.icte.2020.04.010"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2017.06.083"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1177\/1073858416667720"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/B978-012387582-2\/50038-1"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/243"},{"key":"ref22","first-page":"548","article-title":"FiberNET: An ensemble deep learning framework for clustering white matter fibers","author":"gupta","year":"2017","journal-title":"Proc Int Conf Med Image Comput Comput Assist Intervention"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2018.8363672"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1316909110"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2016.7471631"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2014.04.048"},{"key":"ref25","first-page":"3","article-title":"Line simplification using self-organizing maps","author":"jiang","year":"2003","journal-title":"Proc ISPRS Workshop Spatial Anal Decis Making"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2019.116137"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2020.117070"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2015.10.053"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2010.2049235"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1007\/s12650-020-00642-1"},{"key":"ref56","first-page":"478","article-title":"Unsupervised deep embedding for clustering analysis","author":"xie","year":"2016","journal-title":"Proc 33rd Int Conf Mach Learn"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2018.06.019"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1007\/s00429-015-1179-4"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2010.01.004"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1559\/152304098782441750"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TCDS.2020.2968116"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/S1090-7807(02)00178-7"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2012.01.021"},{"key":"ref12","first-page":"13","article-title":"A streamline selection technique for integrated scalar and vector visualization","volume":"2","author":"furuya","year":"2008","journal-title":"Proc IEEE Visual Conf Poster Session"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2012.00175"},{"key":"ref14","first-page":"1","article-title":"Fast dimensionality reduction for brain tractography clustering","author":"garyfallidis","year":"2010","journal-title":"Proc 16th Annu Meeting Org Hum Brain Map"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2017.07.015"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.18637\/jss.v031.i07"},{"key":"ref17","volume":"1","author":"goodfellow","year":"2016","journal-title":"Deep Learning"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2009.06.060"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2012.02.071"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1137\/16M1080173"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4842-4470-8_30"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-30135-6_55"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.comgeo.2020.101620"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.2307\/1905515"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2012.06.005"},{"key":"ref7","author":"chen","year":"2015","journal-title":"Deep learning with nonparametric clustering"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s10109-009-0078-8"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2017.10.058"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.3390\/ijgi7020041"},{"key":"ref48","author":"smith","year":"2018","journal-title":"A disciplined approach to neural network hyper-parameters Part 1–learning rate batch size momentum and weight decay"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2017.58"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1515\/itms-2017-0003"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2011.03.013"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.3233\/IDA-2007-11508"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.3389\/fninf.2017.00073"}],"container-title":["IEEE Transactions on Cognitive and Developmental Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7274989\/9881572\/09474448.pdf?arnumber=9474448","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,3]],"date-time":"2022-10-03T20:33:05Z","timestamp":1664829185000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9474448\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,9]]},"references-count":61,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/tcds.2021.3094555","relation":{},"ISSN":["2379-8920","2379-8939"],"issn-type":[{"value":"2379-8920","type":"print"},{"value":"2379-8939","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,9]]}}}