1 citations · 1 across the 4 of their papers we have counts for
4 papers
AC-MIL: Weakly Supervised Atrial LGE-MRI Quality Assessment via Adversarial Concept Disentanglement
K M Arefeen Sultan, Kaysen Hansen, Benjamin Orkild +7
High-quality Late Gadolinium Enhancement (LGE) MRI can be helpful for atrial fibrillation management, yet scan quality is frequently compromised by patient motion, irregular breath…
HAMIL-QA: Hierarchical Approach to Multiple Instance Learning for Atrial LGE MRI Quality Assessment
K M Arefeen Sultan, Md Hasibul Husain Hisham, Benjamin Orkild +7
The accurate evaluation of left atrial fibrosis via high-quality 3D Late Gadolinium Enhancement (LGE) MRI is crucial for atrial fibrillation management but is hindered by factors l…
Two-Stage Deep Learning Framework for Quality Assessment of Left Atrial Late Gadolinium Enhanced MRI Images
K M Arefeen Sultan, Benjamin Orkild, Alan Morris +6
Accurate assessment of left atrial fibrosis in patients with atrial fibrillation relies on high-quality 3D late gadolinium enhancement (LGE) MRI images. However, obtaining such ima…
Statistical Shape Modeling of Biventricular Anatomy with Shared Boundaries
Krithika Iyer, Alan Morris, Brian Zenger +4
Statistical shape modeling (SSM) is a valuable and powerful tool to generate a detailed representation of complex anatomy that enables quantitative analysis and the comparison of s…