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MICCAI
2004
Springer
16 years 7 months ago
An Uncertainty-Driven Hybrid of Intensity-Based and Feature-Based Registration with Application to Retinal and Lung CT Images
Abstract. A new hybrid of feature-based and intensity-based registration is presented. The algorithm reflects a new understanding of the role of alignment error in the generation o...
Charles V. Stewart, Ying-Lin Lee, Chia-Ling Tsai
ISBI
2011
IEEE
14 years 10 months ago
Principal components regression: Multivariate, gene-based tests in imaging genomics
In imaging genomics, there have been rapid advances in genome-wide, image-wide searches for genes that influence brain structure. Most efforts focus on univariate tests that treat...
Derrek P. Hibar, Jason L. Stein, Omid Kohannim, Ne...
NIPS
2007
15 years 8 months ago
Learning Horizontal Connections in a Sparse Coding Model of Natural Images
It has been shown that adapting a dictionary of basis functions to the statistics of natural images so as to maximize sparsity in the coefficients results in a set of dictionary ...
Pierre Garrigues, Bruno Olshausen
ISBI
2011
IEEE
14 years 10 months ago
Sparse topological data recovery in medical images
For medical image analysis, the test statistic of the measurements is usually constructed at every voxels in space and thresholded to determine the regions of significant signals...
Moo K. Chung, Hyekyoung Lee, Peter T. Kim, Jong Ch...
NIPS
2003
15 years 8 months ago
Human and Ideal Observers for Detecting Image Curves
This paper compares the ability of human observers to detect target image curves with that of an ideal observer. The target curves are sampled from a generative model which speci...
Alan L. Yuille, Fang Fang, Paul R. Schrater, Danie...