21 citations · 30 across the 6 of their papers we have counts for
Showing 2024Show all
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cs.CV2024★ 4 cited
A self-supervised text-vision framework for automated brain abnormality detection
David A. Wood, Emily Guilhem, Sina Kafiabadi +13
Artificial neural networks trained on large, expert-labelled datasets are considered state-of-the-art for a range of medical image recognition tasks. However, categorically labelle…
eess.IV2024
Artificial intelligence for abnormality detection in high volume neuroimaging: a systematic review and meta-analysis
Siddharth Agarwal, David A. Wood, Mariusz Grzeda +5
Purpose: Most studies evaluating artificial intelligence (AI) models that detect abnormalities in neuroimaging are either tested on unrepresentative patient cohorts or are insuffic…