One of the central problems of medical imaging is the 3D visualization of body parts. The 3D volume can be viewed in slices, but the extraction of a part requires a segmentation p...
Antoni Buades, Aichi Chien, Jean-Michel Morel, Sta...
Abstract. This paper presents a novel approach for object segmentation in medical images that respects the topological relationships of multiple structures as given by a template. ...
We present an efficient algorithm for nonlocal image filtering with applications in electron cryomicroscopy. Our denoising algorithm is a rewriting of the recently proposed nonloc...
For medical image analysis, the test statistic of the measurements is usually constructed at every voxels in space and thresholded to determine the regions of significant signals...
Moo K. Chung, Hyekyoung Lee, Peter T. Kim, Jong Ch...
: Statistical shape models are powerful tools for model-based segmentation and have been sucessfully applied to the segmentation of various structures in medical images. Though the...