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» Medical Image Alignment by Normal Vector Information
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ICCV
1999
IEEE
14 years 9 months ago
Fluid Motion Recovery by Coupling Dense and Parametric Vector Fields
In this paper we address the problem of estimating and analyzing the motion in image sequences that involve fluid phenomena. In this context standard motion estimation techniques ...
Étienne Mémin, Patrick Pérez
MICCAI
2001
Springer
14 years 4 days ago
A Binary Entropy Measure to Assess Nonrigid Registration Algorithms
Assessment of normal and abnormal anatomical variability requires a coordinate system enabling inter-subject comparison. We present a binary minimum entropy criterion to assess afï...
Simon K. Warfield, Jan Rexilius, Petra S. Huppi, T...
MICCAI
2004
Springer
14 years 8 months ago
Image Registration by Hierarchical Matching of Local Spatial Intensity Histograms
We previously presented a HAMMER image registration algorithm that demonstrated high accuracy in superposition of images from different individual brains. However, the HAMMER regis...
Dinggang Shen
MICCAI
2009
Springer
14 years 9 months ago
A Generic Probabilistic Active Shape Model for Organ Segmentation
Probabilistic models are extensively used in medical image segmentation. Most of them employ parametric representations of densities and make idealizing assumptions, e.g. normal di...
Andreas Wimmer, Grzegorz Soza, Joachim Hornegger
KDD
2004
ACM
216views Data Mining» more  KDD 2004»
14 years 8 months ago
GPCA: an efficient dimension reduction scheme for image compression and retrieval
Recent years have witnessed a dramatic increase in the quantity of image data collected, due to advances in fields such as medical imaging, reconnaissance, surveillance, astronomy...
Jieping Ye, Ravi Janardan, Qi Li