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» Medical Image Segmentation Based on Mutual Information Maxim...
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101
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MICCAI
2001
Springer
15 years 1 months ago
Quantifying Small Changes in Brain Ventricular Volume Using Non-rigid Registration
Abstract. Non-rigid registration can automatically quantify small changes in volume of anatomical structures over time by means of segmentation propagation. Here we use a non-rigid...
Mark Holden, Julia A. Schnabel, Derek L. G. Hill
ICASSP
2008
IEEE
15 years 3 months ago
Mutual information based relevance network analysis: a Parkinson'S disease study
Monitoring the dynamics of networks in the brain is of central importance in normal and disease states. Current methods of detecting networks in the recorded EEG such as correlati...
Pamela Wen-Hsin Lee, Z. Jane Wang, Martin J. McKeo...
87
Voted
ISBI
2007
IEEE
15 years 3 months ago
Efficient Use of Cerebral Cortical Thickness to Correct Brain Mr Segmentation
Efficient, automatic and robust tools for measurement of cerebral cortical thickness would aid diagnosis and longitudinal studies of neurodegenerative disorders. In this work, we...
Thanh-Mai Diep, Pierrick Bourgeat, Sébastie...
MICCAI
2009
Springer
15 years 10 months ago
Multimodal Prior Appearance Models Based on Regional Clustering of Intensity Profiles
Model-based image segmentation requires prior information about the appearance of a structure in the image. Instead of relying on Principal Component Analysis such as in Statistica...
François Chung, Hervé Delingette
69
Voted
PAMI
2002
108views more  PAMI 2002»
14 years 9 months ago
Approximate Bayes Factors for Image Segmentation: The Pseudolikelihood Information Criterion (PLIC)
We propose a method for choosing the number of colors or true gray levels in an image; this allows fully automatic segmentation of images. Our underlying probability model is a hid...
Derek C. Stanford, Adrian E. Raftery