This paper addresses the problem of markerless tracking of a human in full 3D with a high-dimensional (29D) body model. Most work in this area has been focused on achieving accura...
Patrick Peursum, Svetha Venkatesh, Geoff A. W. Wes...
We present a novel approach to 3D delineation of dendritic networks in noisy image stacks. We achieve a level of automation beyond that of stateof-the-art systems, which model dend...
: This paper presents a deformable model based approach for automated segmentation of kidneys from tree dimensional (3D) abdominal CT images. Since the quality of an input image is...
Abstract. This work addresses the problem of querying moving objects databases. which capture the inherent uncertainty associated with the location of moving point objects. We addr...
Goce Trajcevski, Ouri Wolfson, Fengli Zhang, Sam C...
Computational models of myocardial perfusion in normal as well as pathological conditions have contributed to recent advances in the personalized diagnosis and treatment of cardiov...
Pepijn van Horssen, Jeroen P. H. M. van den Wijnga...