For the last 15 years, Magnetic Resonance Imaging (MRI) has become a reference
examination for cardiac morphology, function and perfusion in humans. Yet, due to the …

This article surveys deformable models, a promising and vigorously researched computer-
assisted medical image analysis technique. Among model-based techniques, deformable …

Automated segmentation in medical image analysis is a challenging task that requires a
large amount of manually labeled data. However, most existing learning-based approaches …

Purpose To develop a deep learning–based method for fully automated quantification of left
ventricular (LV) function from short-axis cine MR images and to evaluate its performance in a …

Image Processing, Analysis and Machine Vision represent an exciting part of modern
cognitive and computer science. Following an explosion of inter est during the Seventies …

We describe a new method of matching statistical models of appearance to images. A set of
model parameters control modes of shape and gray-level variation learned from a training …

We demonstrate a novel method of interpreting images using an Active Appearance Model
(AAM). An AAM contains a statistical model of the shape and grey-level appearance of the …

Statistical models of shape and appearance are powerful tools for interpreting medical
images. We assume a training set of images in which corresponding landmark points have …

Image segmentation is a fundamental problem in computer vision. Despite many years of
research, general purpose image segmentation is still a very challenging task because …

A novel method of incorporating shape information into the image segmentation process is
presented. We introduce a representation for deformable shapes and define a probability …