Graph machine learning (GML) is receiving growing interest within the pharmaceutical and
biotechnology industries for its ability to model biomolecular structures, the functional …

Random Sample Consensus, most commonly abbreviated as RANSAC, is a robust
estimation method for the parameters of a model contaminated by a sizable percentage of …

Combinatorial graph cut algorithms have been successfully applied to a wide range of
problems in vision and graphics. This paper focusses on possibly the simplest application of …

Liver segmentation has always been the focus of researchers because it plays an important
role in medical diagnosis. However, under the condition of low contrast between a liver and …

Recent studies show that pulmonary vascular diseases may specifically affect arteries or
veins through different physiologic mechanisms. To detect changes in the two vascular …

Water/fat separation is a classical problem for in vivo proton MRI. Although many methods
have been proposed to address this problem, robust water/fat separation remains a …

摘要鉴于图割的理论意义和实际应用价值, 系统综述了基于图割的图像分割方法. 首先,
深入分析了基于图割的图像分割方法的基本原理, 主要从定性和定量角度剖析了图割与能量函数 …

State-of-the-art research on MRFs, successful MRF applications, and advanced topics for
future study. This volume demonstrates the power of the Markov random field (MRF) in …

Segmentation of anatomical structures, from modalities like computed tomography (CT),
magnetic resonance imaging (MRI) and ultrasound, is a key enabling technology for medical …

In this paper, we introduce a novel and efficient approach to dense image registration, which
does not require a derivative of the employed cost function. In such a context, the registration …