2 citations · 4 across the 3 of their papers we have counts for
4 papers
Deep Learning for Material Decomposition in Photon-Counting CT
Alma Eguizabal, Ozan Öktem, Mats U. Persson
Photon-counting CT (PCCT) offers improved diagnostic performance through better spatial and energy resolution, but developing high-quality image reconstruction methods that can dea…
Procrustes registration of two-dimensional statistical shape models without correspondences
Alma Eguizabal, Peter J. Schreier, Jürgen Schmidt
Statistical shape models are a useful tool in image processing and computer vision. A Procrustres registration of the contours of the same shape is typically perform to align the t…
Model-order selection in statistical shape models
Alma Eguizabal, Peter J. Schreier, David Ramírez
Statistical shape models enhance machine learning algorithms providing prior information about deformation. A Point Distribution Model (PDM) is a popular landmark-based statistical…
A weighting strategy for Active Shape Models
Alma Eguizabal, Peter J. Schreier
Active Shape Models (ASM) are an iterative segmentation technique to find a landmark-based contour of an object. In each iteration, a least-squares fit of a plausible shape to some…