Deep learning identifies brain structures that predict cognition and explain heterogeneity in cognitive aging (Q114949978)

https://api.crossref.org/v1/works/https://doi.org/10.1016/j.neuroimage.2022.119020

30 October 2022

title

Deep learning identifies brain structures that predict cognition and explain heterogeneity in cognitive aging (English)

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https://api.crossref.org/v1/works/https://doi.org/10.1016/j.neuroimage.2022.119020

30 October 2022

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Yogatheesan Varatharajah

3

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https://api.crossref.org/v1/works/https://doi.org/10.1016/j.neuroimage.2022.119020

30 October 2022

Robert I Reid

5

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https://api.crossref.org/v1/works/https://doi.org/10.1016/j.neuroimage.2022.119020

30 October 2022

Christopher G. Schwarz

6

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https://api.crossref.org/v1/works/https://doi.org/10.1016/j.neuroimage.2022.119020

30 October 2022

David S Knopman

8

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https://api.crossref.org/v1/works/https://doi.org/10.1016/j.neuroimage.2022.119020

30 October 2022

Mary M Machulda

9

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https://api.crossref.org/v1/works/https://doi.org/10.1016/j.neuroimage.2022.119020

30 October 2022

Michelle M Mielke

10

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https://api.crossref.org/v1/works/https://doi.org/10.1016/j.neuroimage.2022.119020

30 October 2022

Paul M Arnold

12

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https://api.crossref.org/v1/works/https://doi.org/10.1016/j.neuroimage.2022.119020

30 October 2022

Clifford Jack

15

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https://api.crossref.org/v1/works/https://doi.org/10.1016/j.neuroimage.2022.119020

30 October 2022

Ravishankar K. Iyer

16

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https://api.crossref.org/v1/works/https://doi.org/10.1016/j.neuroimage.2022.119020

30 October 2022

Prashanthi Vemuri

17

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https://api.crossref.org/v1/works/https://doi.org/10.1016/j.neuroimage.2022.119020

30 October 2022

4

Scott A. Przybelski

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https://api.crossref.org/v1/works/https://doi.org/10.1016/j.neuroimage.2022.119020

30 October 2022

Jonathan Graff-Radford

7

object named as

Jonathan Graff-Radford

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https://api.crossref.org/v1/works/https://doi.org/10.1016/j.neuroimage.2022.119020

30 October 2022

author name string

Krishnakant V. Saboo

1

1 reference

https://api.crossref.org/v1/works/https://doi.org/10.1016/j.neuroimage.2022.119020

30 October 2022

Chang Hu

2

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https://api.crossref.org/v1/works/https://doi.org/10.1016/j.neuroimage.2022.119020

30 October 2022

Ronald C. Petersen

11

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https://api.crossref.org/v1/works/https://doi.org/10.1016/j.neuroimage.2022.119020

30 October 2022

Gregory A. Worrell

13

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https://api.crossref.org/v1/works/https://doi.org/10.1016/j.neuroimage.2022.119020

30 October 2022

David T. Jones

14

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https://api.crossref.org/v1/works/https://doi.org/10.1016/j.neuroimage.2022.119020

30 October 2022

publication date

May 2022

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https://api.crossref.org/v1/works/https://doi.org/10.1016/j.neuroimage.2022.119020

30 October 2022

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https://api.crossref.org/v1/works/https://doi.org/10.1016/j.neuroimage.2022.119020

30 October 2022

volume

251

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https://api.crossref.org/v1/works/https://doi.org/10.1016/j.neuroimage.2022.119020

30 October 2022

page(s)

119020

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https://api.crossref.org/v1/works/https://doi.org/10.1016/j.neuroimage.2022.119020

30 October 2022

Identifiers

10.1016/J.NEUROIMAGE.2022.119020

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