"Medical Computer Vision: Algorithms for Big Data" : International Workshop, MCV 2015, held in conjunction with MICCAI 2015, Munich, Germany, October 9, 2015 : revised selected papers. MCV (Workshop) (5th : 2015 : Munich, Germany)最新文献

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Algorithms for Lists 列表算法
{"title":"Algorithms for Lists","authors":"","doi":"10.1142/9789811204746_0016","DOIUrl":"https://doi.org/10.1142/9789811204746_0016","url":null,"abstract":"","PeriodicalId":91988,"journal":{"name":"\"Medical Computer Vision: Algorithms for Big Data\" : International Workshop, MCV 2015, held in conjunction with MICCAI 2015, Munich, Germany, October 9, 2015 : revised selected papers. MCV (Workshop) (5th : 2015 : Munich, Germany)","volume":"75 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76532498","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Reservoir Sampling 水库采样
Shuangjiang Li
{"title":"Reservoir Sampling","authors":"Shuangjiang Li","doi":"10.1142/9789811204746_0004","DOIUrl":"https://doi.org/10.1142/9789811204746_0004","url":null,"abstract":"","PeriodicalId":91988,"journal":{"name":"\"Medical Computer Vision: Algorithms for Big Data\" : International Workshop, MCV 2015, held in conjunction with MICCAI 2015, Munich, Germany, October 9, 2015 : revised selected papers. MCV (Workshop) (5th : 2015 : Munich, Germany)","volume":"57 3 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77313171","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Subject-specific Estimation of Missing Cortical Thickness Maps in Developing Infant Brains. 发育中的婴儿大脑皮层厚度图缺失的受试者特异性估计。
Yu Meng, Gang Li, Yaozong Gao, John H Gilmore, Weili Lin, Dinggang Shen
{"title":"Subject-specific Estimation of Missing Cortical Thickness Maps in Developing Infant Brains.","authors":"Yu Meng,&nbsp;Gang Li,&nbsp;Yaozong Gao,&nbsp;John H Gilmore,&nbsp;Weili Lin,&nbsp;Dinggang Shen","doi":"10.1007/978-3-319-42016-5_8","DOIUrl":"https://doi.org/10.1007/978-3-319-42016-5_8","url":null,"abstract":"<p><p>To accurately chart the dynamic brain developmental trajectories in infants, many longitudinal neuroimaging studies prefer having a complete dataset. Unfortunately, missing data at certain time points are unavoidable in longitudinal datasets. To better use incomplete longitudinal data, we propose a novel method to estimate the subject-specific vertex-wise cortical thickness maps at missing time points, by using a customized regression forest, Dynamically-Assembled Regression Forest (DARF). DARF ensures spatial smoothness of the estimated cortical thickness maps and also the computational efficiency. The proposed method can fully exploit the available information from the subjects both with and without missing scans. Our method has been applied to estimate the missing cortical thickness maps in a longitudinal infant dataset, which includes 31 healthy subjects, with each having up to 5 scans. The experimental results indicate that our method can accurately estimate missing cortical thickness maps, with the average vertex-wise error less than 0.23 mm.</p>","PeriodicalId":91988,"journal":{"name":"\"Medical Computer Vision: Algorithms for Big Data\" : International Workshop, MCV 2015, held in conjunction with MICCAI 2015, Munich, Germany, October 9, 2015 : revised selected papers. MCV (Workshop) (5th : 2015 : Munich, Germany)","volume":"9601 ","pages":"83-92"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/978-3-319-42016-5_8","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35217412","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Algorithms for Bounded Degree Graphs 有界度图的算法
L. Lovász
{"title":"Algorithms for Bounded Degree Graphs","authors":"L. Lovász","doi":"10.1090/COLL/060/22","DOIUrl":"https://doi.org/10.1090/COLL/060/22","url":null,"abstract":"","PeriodicalId":91988,"journal":{"name":"\"Medical Computer Vision: Algorithms for Big Data\" : International Workshop, MCV 2015, held in conjunction with MICCAI 2015, Munich, Germany, October 9, 2015 : revised selected papers. MCV (Workshop) (5th : 2015 : Munich, Germany)","volume":"17 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2012-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80765628","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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