14 citations · 18 across the 3 of their papers we have counts for
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cs.CV2024★ 14 cited
Machine learning algorithms to predict the risk of rupture of intracranial aneurysms: a systematic review
Karan Daga, Siddharth Agarwal, Zaeem Moti +5
Purpose: Subarachnoid haemorrhage is a potentially fatal consequence of intracranial aneurysm rupture, however, it is difficult to predict if aneurysms will rupture. Prophylactic t…
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…