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Challenges for machine learning in clinical translation of big data imaging studies

Abstract:

Combining deep learning image analysis methods and large-scale imaging datasets offers many opportunities to neuroscience imaging and epidemiology. However, despite these opportunities and the success of deep learning when applied to a range of neuroimaging tasks and domains, significant barriers continue to limit the impact of large-scale datasets and analysis tools. Here, we examine the main challenges and the approaches that have been explored to overcome them. We focus on issues relating ...

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Publication status:
Published
Peer review status:
Peer reviewed

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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Oxford college:
Worcester College
Role:
Author
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Role:
Author
ORCID:
0000-0001-5970-9100
More by this author
Role:
Author
ORCID:
0000-0002-9451-4779
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Clinical Neurosciences
Role:
Author
ORCID:
0000-0001-6043-0166
Publisher:
Cell Press Publisher's website
Journal:
Neuron Journal website
Publication date:
2022-10-10
Acceptance date:
2022-10-01
DOI:
EISSN:
1097-4199
ISSN:
0896-6273
Language:
English
Keywords:
Pubs id:
1282865
Local pid:
pubs:1282865
Deposit date:
2022-10-13

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