• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利：CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法，用中文像聊天一样搜索，搜遍4000万医学文献。AI智能推荐，让科研检索更轻松。

立即免费搜索

文件翻译

保留排版，准确专业，支持PDF/Word/PPT等文件格式，支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述，25分钟生成高质量综述，智能提取关键信息，辅助科研写作。

立即免费体验

勘误：使用Dartel的多核学习改善了AIBL数据中阿尔茨海默病的MRI-PET联合分类：组分析和个体分析。

Corrigendum: Multi-Kernel Learning with Dartel Improves Combined MRI-PET Classification of Alzheimer's Disease in AIBL Data: Group and Individual Analyses.

作者信息

Youssofzadeh Vahab, McGuinness Bernadette, Maguire Liam P, Wong-Lin KongFatt

机构信息

Computational Neuroscience Research Team, Intelligent Systems Research Centre, School of Computing and Intelligent Systems, Faculty of Computing and Engineering, Ulster UniversityLondonderry, United Kingdom.

Division of Neurology, Cincinnati Childrens Hospital Medical CenterCincinnati, OH, United States.

出版信息

Front Hum Neurosci. 2017 Sep 8;11:457. doi: 10.3389/fnhum.2017.00457. eCollection 2017.

DOI:10.3389/fnhum.2017.00457
PMID:28912705
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5596795/
Abstract

[This corrects the article on p. 380 in vol. 11, PMID: 28790908.].

摘要

[这更正了第11卷第380页的文章，PMID: 28790908。]

相似文献

1
Corrigendum: Multi-Kernel Learning with Dartel Improves Combined MRI-PET Classification of Alzheimer's Disease in AIBL Data: Group and Individual Analyses.勘误：使用Dartel的多核学习改善了AIBL数据中阿尔茨海默病的MRI-PET联合分类：组分析和个体分析。
Front Hum Neurosci. 2017 Sep 8;11:457. doi: 10.3389/fnhum.2017.00457. eCollection 2017.
2
Multi-Kernel Learning with Dartel Improves Combined MRI-PET Classification of Alzheimer's Disease in AIBL Data: Group and Individual Analyses.使用达特尔的多核学习改善了AIBL数据中阿尔茨海默病的MRI-PET联合分类：组分析和个体分析
Front Hum Neurosci. 2017 Jul 25;11:380. doi: 10.3389/fnhum.2017.00380. eCollection 2017.
3
Differential diagnosis of mild cognitive impairment and Alzheimer's disease using structural MRI cortical thickness, hippocampal shape, hippocampal texture, and volumetry.利用结构磁共振成像皮质厚度、海马形状、海马纹理和体积测量对轻度认知障碍和阿尔茨海默病进行鉴别诊断。
Neuroimage Clin. 2016 Dec 7;13:470-482. doi: 10.1016/j.nicl.2016.11.025. eCollection 2017.
4
Alzheimer's Disease Normative Cerebrospinal Fluid Biomarkers Validated in PET Amyloid-β Characterized Subjects from the Australian Imaging, Biomarkers and Lifestyle (AIBL) study.阿尔茨海默病标准化脑脊液生物标志物在澳大利亚成像、生物标志物和生活方式（AIBL）研究中经PET淀粉样β蛋白特征化的受试者中得到验证。
J Alzheimers Dis. 2015;48(1):175-87. doi: 10.3233/JAD-150247.
5
Addressing population aging and Alzheimer's disease through the Australian imaging biomarkers and lifestyle study: collaboration with the Alzheimer's Disease Neuroimaging Initiative.通过澳大利亚影像学生物标志物和生活方式研究应对人口老龄化和阿尔茨海默病：与阿尔茨海默病神经影像学倡议合作。
Alzheimers Dement. 2010 May;6(3):291-6. doi: 10.1016/j.jalz.2010.03.009.
6
The Australian Imaging, Biomarkers and Lifestyle (AIBL) study of aging: methodology and baseline characteristics of 1112 individuals recruited for a longitudinal study of Alzheimer's disease.澳大利亚衰老成像、生物标志物与生活方式（AIBL）研究：针对阿尔茨海默病纵向研究招募的1112名个体的方法及基线特征
Int Psychogeriatr. 2009 Aug;21(4):672-87. doi: 10.1017/S1041610209009405. Epub 2009 May 27.
7
Clinical and cognitive trajectories in cognitively healthy elderly individuals with suspected non-Alzheimer's disease pathophysiology (SNAP) or Alzheimer's disease pathology: a longitudinal study.认知健康的老年疑似非阿尔茨海默病病理生理学 (SNAP) 或阿尔茨海默病病理个体的临床和认知轨迹：一项纵向研究。
Lancet Neurol. 2016 Sep;15(10):1044-53. doi: 10.1016/S1474-4422(16)30125-9. Epub 2016 Jul 20.
8
Corrigendum: Multi-modal, Multi-measure, and Multi-class Discrimination of ADHD with Hierarchical Feature Extraction and Extreme Learning Machine Using Structural and Functional Brain MRI.勘误：使用结构和功能脑磁共振成像通过分层特征提取和极限学习机对注意力缺陷多动障碍进行多模态、多测量和多类别辨别
Front Hum Neurosci. 2017 May 31;11:292. doi: 10.3389/fnhum.2017.00292. eCollection 2017.
9
Application of the NIA-AA Research Framework: Towards a Biological Definition of Alzheimer's Disease Using Cerebrospinal Fluid Biomarkers in the AIBL Study.NIA-AA 研究框架的应用：在 AIBL 研究中使用脑脊液生物标志物来定义阿尔茨海默病的生物学定义。
J Prev Alzheimers Dis. 2019;6(4):248-255. doi: 10.14283/jpad.2019.25.
10
Corrigendum.勘误
Paediatr Child Health. 2015 Nov-Dec;20(8):466-7. doi: 10.1093/pch/20.8.466.