2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CV2025
CMRINet: Joint Groupwise Registration and Segmentation for Cardiac Function Quantification from Cine-MRI
Mohamed S. Elmahdy, Marius Staring, Patrick J. H. de Koning +7
Accurate and efficient quantification of cardiac function is essential for the estimation of prognosis of cardiovascular diseases (CVDs). One of the most commonly used metrics for…
eess.IV2023★ 2 cited
Deep learning automated quantification of lung disease in pulmonary hypertension on CT pulmonary angiography: A preliminary clinical study with external validation
Michael J. Sharkey, Krit Dwivedi, Samer Alabed +1
Purpose: Lung disease assessment in precapillary pulmonary hypertension (PH) is essential for appropriate patient management. This study aims to develop an artificial intelligence…