13 citations · 21 across the 5 of their papers we have counts for
5 papers
Spatio-temporal neural distance fields for conditional generative modeling of the heart
Kristine Sørensen, Paula Diez, Jan Margeta +8
The rhythmic pumping motion of the heart stands as a cornerstone in life, as it circulates blood to the entire human body through a series of carefully timed contractions of the in…
Signed Distance Field based Segmentation and Statistical Shape Modelling of the Left Atrial Appendage
Kristine Aavild Juhl, Jakob Slipsager, Ole de Backer +3
Patients with atrial fibrillation have a 5-7 fold increased risk of having an ischemic stroke. In these cases, the most common site of thrombus localization is inside the left atri…
Evaluation of cinematic volume rendering open-source and commercial solutions for the exploration of congenital heart data
Irum Baseer, Israel Valverde, Abdel H. Moustafa +2
Detailed anatomical information is essential to optimize medical decisions for surgical and pre-operative planning in patients with congenital heart disease. The visualization tech…
On The Importance of Fundamental Computational Fluid Dynamics Towards a Robust and Reliable Model of Left Atrial Flows: Is There More Than Meets the Eye?
Ehsan Khalili, C'ecile Daversin-Catty, Andy L. Olivares +3
Computational fluid dynamics (CFD) studies of left atrial flows have reached a sophisticated level, e.g., revealing plausible relationships between hemodynamics and stresses with a…
A Global Benchmark of Algorithms for Segmenting Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging
Zhaohan Xiong, Qing Xia, Zhiqiang Hu +41
Segmentation of cardiac images, particularly late gadolinium-enhanced magnetic resonance imaging (LGE-MRI) widely used for visualizing diseased cardiac structures, is a crucial fir…