{"title":"修正:基于邻域纤维取向分布的白质纤维的监督分类,使用神经网络集合","authors":"Devran Ugurlu, Z. Firat, U. Türe, Gozde Unal","doi":"10.1007/978-3-030-05831-9_31","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":72661,"journal":{"name":"Computational diffusion MRI : MICCAI Workshop","volume":"4 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Correction to: Supervised Classification of White Matter Fibers Based on Neighborhood Fiber Orientation Distributions Using an Ensemble of Neural Networks\",\"authors\":\"Devran Ugurlu, Z. Firat, U. Türe, Gozde Unal\",\"doi\":\"10.1007/978-3-030-05831-9_31\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":72661,\"journal\":{\"name\":\"Computational diffusion MRI : MICCAI Workshop\",\"volume\":\"4 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-10-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computational diffusion MRI : MICCAI Workshop\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/978-3-030-05831-9_31\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computational diffusion MRI : MICCAI Workshop","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/978-3-030-05831-9_31","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Correction to: Supervised Classification of White Matter Fibers Based on Neighborhood Fiber Orientation Distributions Using an Ensemble of Neural Networks