Outlier detection in multimodal MRI identifies rare individual phenotypes among more than 15,000 brains-Reference-Cited by-同舟云学术

Outlier detection in multimodal MRI identifies rare individual phenotypes among more than 15,000 brains

Published:2021-12-26 Issue: Volume: Page:
ISSN:1065-9471
Container-title:Human Brain Mapping
language:en
Short-container-title:Human Brain Mapping

Author:

Ma Zhiwei¹^ORCID,Reich Daniel S.²^ORCID,Dembling Sarah¹,Duyn Jeff H.¹,Koretsky Alan P.¹^ORCID

Affiliation:

1. Laboratory of Functional and Molecular Imaging National Institute of Neurological Disorders and Stroke, National Institutes of Health Bethesda Maryland USA

2. Translational Neuroradiology Section National Institute of Neurological Disorders and Stroke, National Institutes of Health Bethesda Maryland USA

Funder

National Institutes of Health

Publisher

Wiley

Subject

Neurology (clinical),Neurology,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology,Anatomy

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/hbm.25756

Reference57 articles.

1. Outlier Analysis

2. Image processing and Quality Control for the first 10,000 brain imaging datasets from UK Biobank

3. UK Biobank: Current status and what it means for epidemiology

4. An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging

5. Estimation of the Effective Self-Diffusion Tensor from the NMR Spin Echo

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