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» Maximum likelihood mapping with spectral image registration
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IPMI
2003
Springer
14 years 6 months ago
Bayesian Multimodality Non-rigid Image Registration via Conditional Density Estimation
Abstract. We present a Bayesian multimodality non-rigid image registration method. Since the likelihood is unknown in the general multimodality setting, we use a density estimator ...
Jie Zhang, Anand Rangarajan
ICCV
2007
IEEE
14 years 7 months ago
A Robust Algorithm for Fiber-Bundle Atlas Construction
In this paper, we demonstrate an integrated registration and clustering algorithm to compute an atlas of fiberbundles from a set of multi-subject diffusion weighted MR images. We ...
Ulas Ziyan, Mert R. Sabuncu, W. Eric L. Grimson, C...
IPMI
2009
Springer
14 years 6 months ago
Bayesian Registration via Local Image Regions: Information, Selection and Marginalization
We propose a novel Bayesian registration formulation in which image location is represented as a latent random variable. Location is marginalized to determine the maximum a priori ...
Matthew Toews, William M. Wells III
DAGM
2011
Springer
12 years 5 months ago
Putting MAP Back on the Map
Conditional Random Fields (CRFs) are popular models in computer vision for solving labeling problems such as image denoising. This paper tackles the rarely addressed but important ...
Patrick Pletscher, Sebastian Nowozin, Pushmeet Koh...
CVBIA
2005
Springer
13 years 10 months ago
Registration of 3D Angiographic and X-Ray Images Using Sequential Monte Carlo Sampling
Abstract. Digital subtraction angiography (DSA) reconstructions and 3D Magnetic Resonance Angiography (MRA) are the modalities of choice for diagnosis of vascular diseases. However...
Charles Florin, James Williams, Ali Khamene, Nikos...