7 citations · 7 across the 2 of their papers we have counts for
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eess.IV2022★ 7 cited
Using artificial intelligence to detect chest X-rays with no significant findings in a primary health care setting in Oulu, Finland
Tommi Keski-Filppula, Marko Nikki, Marianne Haapea +2
Objectives: To assess the use of artificial intelligence-based software in ruling out chest X-ray cases, with no significant findings in a primary health care setting. Methods: In…
eess.IV2019
Bayesian Feature Pyramid Networks for Automatic Multi-Label Segmentation of Chest X-rays and Assessment of Cardio-Thoratic Ratio
Roman Solovyev, Iaroslav Melekhov, Timo Lesonen +3
Cardiothoratic ratio (CTR) estimated from chest radiographs is a marker indicative of cardiomegaly, the presence of which is in the criteria for heart failure diagnosis. Existing m…