Automated segmentation of object boundaries or surfaces is crucial for quantitative image
analysis in numerous biomedical applications. For example, retinal surfaces in optical …

The methodology presented in the first edition was considered established practice or
settled science in the medical image analysis community in 2010–2011. Progress in this …

This article provides an overview of advanced image processing for three dimensional (3D)
optical coherence tomographic (OCT) angiography of macular diseases, including age …

Segmentation of the airway tree from chest computed tomography (CT) images is critical for
quantitative assessment of airway diseases including bronchiectasis and chronic obstructive …

A new graph-based approach for segmentation of luminal and external elastic lamina (EEL)
surface of coronary vessels in gated 20 MHz intravascular ultrasound (IVUS) image …

In recent years, deep learning (DL) methods have become powerful tools for biomedical
image segmentation. However, high annotation efforts and costs are commonly needed to …

We present a new three-dimensional coupled optimal surface graph-cut algorithm to
segment the wall of the carotid artery bifurcation from Magnetic Resonance (MR) images …

Inflammatory and infectious lung diseases commonly involve bronchial airway structures
and morphology, and these abnormalities are often analyzed non-invasively through high …

<? Pub Dtl=""?> Automated reconstruction of the cortical surface is one of the most
challenging problems in the analysis of human brain magnetic resonance imaging (MRI). A …

This paper introduces a graph construction method for multi-dimensional and multi-surface
segmentation problems. Such problems can be solved by searching for the optimal …