Segmentation and enhancement of brain MR images using fuzzy clustering based on information theory

Bias-correction fuzzy clustering algorithms

(2015) Miin-Shen Yang et al.   INFORMATION SCIENCES

Adaptive scale fuzzy local Gaussian mixture model for brain MR image segmentation

(2014) Zexuan Ji et al.   NEUROCOMPUTING

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

(2014) Zexuan Ji et al.   PATTERN RECOGNITION

An adaptive spatial information-theoretic fuzzy clustering algorithm for image segmentation

(2013) Zhimin Wang et al.   COMPUTER VISION AND IMAGE UNDERSTANDING

Rough Sets for Bias Field Correction in MR Images Using Contraharmonic Mean and Quantitative Index

(2013) Abhirup Banerjee et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Fuzzy Local Gaussian Mixture Model for Brain MR Image Segmentation

(2012) Zexuan Ji et al.   IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE

A modified possibilistic fuzzy c-means clustering algorithm for bias field estimation and segmentation of brain MR image

(2011) Ze-Xuan Ji et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Modified fuzzy c-means algorithm for segmentation of T1–T2-weighted brain MRI

(2010) S. Ramathilagam et al.   JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS

Adaptive spatial information-theoretic clustering for image segmentation

(2009) Zhi Min Wang et al.   PATTERN RECOGNITION

Type-2 fuzzy Gaussian mixture models

(2008) Jia Zeng et al.   PATTERN RECOGNITION

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

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

MRI brain image segmentation and bias field correction based on fast spatially constrained kernel clustering approach

(2008) Liang Liao et al.   PATTERN RECOGNITION LETTERS