Robust kernelized local information fuzzy C-means clustering for brain magnetic resonance image segmentation

Multiplicative intrinsic component optimization (MICO) for MRI bias field estimation and tissue segmentation

(2014) Chunming Li et al.   MAGNETIC RESONANCE IMAGING

Robust spatially constrained fuzzy c-means algorithm for brain MR image segmentation

(2014) Zexuan Ji et al.   PATTERN RECOGNITION

Lessons to learn from a mistaken optimization

(2013) László Szilágyi   PATTERN RECOGNITION LETTERS

Fuzzy c-means clustering with weighted image patch for image segmentation

(2012) Zexuan Ji et al.   APPLIED SOFT COMPUTING

Fuzzy C-Means Clustering With Local Information and Kernel Metric for Image Segmentation

(2012) Maoguo Gong et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Review of brain MRI image segmentation methods

(2010) M. A. Balafar et al.   ARTIFICIAL INTELLIGENCE REVIEW

A Kernel Fuzzy c-Means Clustering-Based Fuzzy Support Vector Machine Algorithm for Classification Problems With Outliers or Noises

(2010) Xiaowei Yang et al.   IEEE TRANSACTIONS ON FUZZY SYSTEMS

A Robust Fuzzy Local Information C-Means Clustering Algorithm

(2010) Stelios Krinidis et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Adaptive non-local means denoising of MR images with spatially varying noise levels

(2009) José V. Manjón et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Kernel methods in machine learning

(2008) Thomas Hofmann et al.   ANNALS OF STATISTICS

A Gaussian kernel-based fuzzy c-means algorithm with a spatial bias correction

(2008) Miin-Shen Yang et al.   PATTERN RECOGNITION LETTERS