activity
20242026
collaborators

5 papers

cs.CV2026

Anatomy-Aware 3D Mesh Refinement of Pericardium Segmentations on Computed Tomography

Andreas W. Aspe, Jonas Jalili Loft, Michael Huy Cuong Pham +6

Accurate delineation of the pericardium in a cardiac CT scan is essential for quantifying epicardial adipose tissue, yet it remains one of the most challenging structures to segmen…

cs.CV2026

Automated Cardiac Adipose Tissue Segmentation in Computed Tomography: A Literature Review

Andreas W. Aspe, Jonas Jalili Pedersen, Andreas Ohrt Johansen +4

This review provides an overview of recent advancements in automated segmentation methods on Computed Tomography (CT) for two types of cardiac fat: Epicardial adipose Tissue (EAT)…

cs.CV2025

A public cardiac CT dataset featuring the left atrial appendage

Bjoern Hansen, Jonas Pedersen, Klaus F. Kofoed +3

Despite the success of advanced segmentation frameworks such as TotalSegmentator (TS), accurate segmentations of the left atrial appendage (LAA), coronary arteries (CAs), and pulmo…

eess.IV2025

Implicit Neural Representations for Registration of Left Ventricle Myocardium During a Cardiac Cycle

Mathias Micheelsen Lowes, Jonas Jalili Pedersen, Bjørn S. Hansen +3

Understanding the movement of the left ventricle myocardium (LVmyo) during the cardiac cycle is essential for assessing cardiac function. One way to model this movement is through…

cs.CV2024

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…