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ISBI
2008
IEEE
14 years 6 months ago
Invariant 3D spharm features for characterizing fMRI activations in ROIs while minimizing effects of intersubject anatomical var
Spatial patterns of activation statistics within anatomically-defined regions of interest (ROIs) in functional magnetic resonance imaging (fMRI) data were recently shown to be sen...
Ashish Uthama, Rafeef Abugharbieh, Samantha J. Pal...
ICCV
2009
IEEE
13 years 3 months ago
BLOGS: Balanced local and global search for non-degenerate two view epipolar geometry
This work considers the problem of estimating the epipolar geometry between two cameras without needing a prespecified set of correspondences. It is capable of resolving the epipo...
Aveek S. Brahmachari, Sudeep Sarkar
PAMI
2010
161views more  PAMI 2010»
13 years 3 months ago
Nonstationary Shape Activities: Dynamic Models for Landmark Shape Change and Applications
—The goal of this work is to develop statistical models for the shape change of a configuration of “landmark” points (key points of interest) over time and to use these mode...
Samarjit Das, Namrata Vaswani
IJPRAI
2002
97views more  IJPRAI 2002»
13 years 5 months ago
Shape Description and Invariant Recognition Employing Connectionist Approach
This paper presents a new approach for shape description and invariant recognition by geometric-normalization implemented by neural networks. The neural system consists of a shape...
Jezekiel Ben-Arie, Zhiqian Wang
ICCV
2007
IEEE
13 years 11 months ago
Fast Automatic Heart Chamber Segmentation from 3D CT Data Using Marginal Space Learning and Steerable Features
Multi-chamber heart segmentation is a prerequisite for global quantification of the cardiac function. The complexity of cardiac anatomy, poor contrast, noise or motion artifacts ...
Yefeng Zheng, Adrian Barbu, Bogdan Georgescu, Mich...