Statistical shape models have gained widespread use in medical image analysis. In order for such models to be statistically meaningful, a large number of data sets have to be inclu...
Abstract. We present a machine learning approach called shape regression machine (SRM) to segmenting in real time an anatomic structure that manifests a deformable shape in a medic...
Abstract. Magnetic resonance tagging is used to quantify and visualize myocardial motion. The lack of tag persistence, however, is often a problem in visualizing motion throughout ...
Abstract. An experimental system and interface that indicate the likelihood of deep venous thrombosis using objective measures was developed, based on ultrasound image processing u...
Julian Guerrero, S. E. Salcudean, James A. McEwen,...
We study, in this paper, the problem of denoising images/data which are defined over non-flat surfaces. This problem arises often in many medical imaging tasks. The Beltrami flow ...