The successful early diagnosis of brain tumors plays a major role in improving the treatment
outcomes and thus improving patient survival. Manually evaluating the numerous magnetic …

Brain tissue segmentation is one of the most sought after research areas in medical image
processing. It provides detailed quantitative brain analysis for accurate disease diagnosis …

The author proposes a method for simultaneous registration and segmentation of multi-
source images, using the multivariate mixture model (MvMM) and maximum of log-likelihood …

The aim of this study is to apply acoustic emission (AE) technique and study the damage
mechanism of the reinforced concrete (RC) beams under four-point bending. Laboratory …

Background and Objectives Chronic inflammation may contribute to cognitive dysfunction
and fatigue in patients with multiple sclerosis (MS). Paramagnetic rim lesions (PRLs) and …

Background Choroid plexus (CP) volume has been recently proposed as a proxy for brain
neuroinflammation in multiple sclerosis (MS). Purpose To develop and validate a fast …

Multi-sequence cardiac magnetic resonance (CMR) provides essential pathology
information (scar and edema) to diagnose myocardial infarction. However, automatic …

This volume contains the proceedings of the 7th Euro-China Conference on Intelligent Data
Analysis and Applications (ECC 2021), which is hosted by Communication University of …

An adaptively regularized kernel‐based fuzzy C‐means clustering framework is proposed
for segmentation of brain magnetic resonance images. The framework can be in the form of …

Background The choroid plexus (CP) is involved in the clearance of harmful metabolites
from the brain, as a part of the glymphatic system. This study aimed to investigate the …