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» Medical Image Alignment by Normal Vector Information
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MICCAI
2010
Springer
13 years 5 months ago
Groupwise Registration by Hierarchical Anatomical Correspondence Detection
Groupwise registration has been widely investigated in recent years due to its importance in analyzing population data in many clinical applications. To our best knowledge, most o...
Guorong Wu, Qian Wang, Hongjun Jia, Dinggang Shen
SMI
2005
IEEE
14 years 1 months ago
Curvature Maps for Local Shape Comparison
— The ability to identify similarities between shapes is important for applications such as medical diagnosis, object registration and alignment, and shape retrieval. In this pap...
Timothy Gatzke, Cindy Grimm, Michael Garland, Stev...
CISS
2008
IEEE
14 years 2 months ago
Reconstruction of compressively sensed images via neurally plausible local competitive algorithms
Abstract—We develop neurally plausible local competitive algorithms (LCAs) for reconstructing compressively sensed images. Reconstruction requires solving a sparse approximation ...
Robert L. Ortman, Christopher J. Rozell, Don H. Jo...
ISBI
2011
IEEE
12 years 11 months ago
Group sparsity based classification for cervigram segmentation
This paper presents an algorithm to classify pixels in uterine cervix images into two classes, namely normal and abnormal tissues, and simultaneously select relevant features, usi...
Yang Yu, Junzhou Huang, Shaoting Zhang, Christophe...
JMIV
2006
185views more  JMIV 2006»
13 years 7 months ago
Intrinsic Statistics on Riemannian Manifolds: Basic Tools for Geometric Measurements
In medical image analysis and high level computer vision, there is an intensive use of geometric features like orientations, lines, and geometric transformations ranging from simp...
Xavier Pennec