Spatial Classification Using Fuzzy Membership Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Point landmarks for registration of CT and MR images
Pattern Recognition Letters
Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
Information combination operators for data fusion: a comparative review with classification
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
IEEE Transactions on Neural Networks
Fuzzy membership, partial aggregation and reinforcement in multi-sensor data fusion
ICCOMP'07 Proceedings of the 11th WSEAS International Conference on Computers
Segmentation of multiple sclerosis lesions in brain MRI: A review of automated approaches
Information Sciences: an International Journal
Automatic segmentation of human facial tissue by MRI-CT fusion: A feasibility study
Computer Methods and Programs in Biomedicine
A novel fuzzy Dempster-Shafer inference system for brain MRI segmentation
Information Sciences: an International Journal
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A fuzzy c-means approach is described for tissue segmentation of X-ray computed tomography (CT) and T1 weighted magnetic resonance (MR) images of the same crosssection of the human brain. A fuzzy set approach is then utilized to obtain a fused classification displaying the salient features of image data of the individual modalities.