Segmentation of the left ventricle (LV) from cardiac magnetic resonance imaging (MRI)
datasets is an essential step for calculation of clinical indices such as ventricular volume and …

We introduce a new methodology that combines deep learning and level set for the
automated segmentation of the left ventricle of the heart from cardiac cine magnetic …

This paper proposes a novel framework for labelling problems which is able to combine
multiple segmentations in a principled manner. Our method is based on higher order …

This paper proposes a method for segmenting the prostate on magnetic resonance (MR)
images. A superpixel-based 3D graph cut algorithm is proposed to obtain the prostate …

This paper proposes an image segmentation method named iterative region growing using
semantics (IRGS), which is characterized by two aspects. First, it uses graduated increased …

Faces in natural images are often occluded by a variety of objects. We propose a fully
automated, probabilistic and occlusion-aware 3D morphable face model adaptation …

We present a novel algorithm for performing integrated segmentation and 3D pose
estimation of a human body from multiple views. Unlike other related state of the art …

This paper presents a novel algorithm for performing integrated segmentation and 3D pose
estimation of a human body from multiple views. Unlike other state of the art methods which …

This monograph gives an introduction to the fundamentals of Markovian modeling in image
segmentation as well as a brief overview of recent advances in the field. Segmentation is …

Labeling large-scale datasets with very accurate object segmentations is an elaborate task
that requires a high degree of quality control and a budget of tens or hundreds of thousands …