2 citations · 2 across the 3 of their papers we have counts for
3 papers
eess.IV2025
Advanced Deep Learning Techniques for Automated Segmentation of Type B Aortic Dissections
Hao Xu, Ruth Lim, Brian E. Chapman
Purpose: Aortic dissections are life-threatening cardiovascular conditions requiring accurate segmentation of true lumen (TL), false lumen (FL), and false lumen thrombosis (FLT) fr…
eess.IV2024★ 2 cited
Improved 3D Whole Heart Geometry from Sparse CMR Slices
Yiyang Xu, Hao Xu, Matthew Sinclair +6
Cardiac magnetic resonance (CMR) imaging and computed tomography (CT) are two common non-invasive imaging methods for assessing patients with cardiovascular disease. CMR typically…
eess.IV2024
Transforming Heart Chamber Imaging: Self-Supervised Learning for Whole Heart Reconstruction and Segmentation
Abdul Qayyum, Hao Xu, Brian P. Halliday +4
Automated segmentation of Cardiac Magnetic Resonance (CMR) plays a pivotal role in efficiently assessing cardiac function, offering rapid clinical evaluations that benefit both hea…