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» Maximum Likelihood Estimators in Magnetic Resonance Imaging
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IPMI
2003
Springer
16 years 2 months ago
A Unified Variational Approach to Denoising and Bias Correction in MR
Abstract. We propose a novel bias correction method for magnetic resonance (MR) imaging that uses complementary body coil and surface coil images. The former are spatially homogene...
Ayres C. Fan, William M. Wells III, John W. Fisher...
TMI
2010
182views more  TMI 2010»
15 years 10 days ago
A Bayesian Mixture Approach to Modeling Spatial Activation Patterns in Multisite fMRI Data
Abstract—We propose a probabilistic model for analyzing spatial activation patterns in multiple functional magnetic resonance imaging (fMRI) activation images such as repeated ob...
Seyoung Kim, Padhraic Smyth, Hal S. Stern
CVPR
1999
IEEE
16 years 4 months ago
Implicit Representation and Scene Reconstruction from Probability Density Functions
A technique is presented for representing linear features as probability density functions in two or three dimensions. Three chief advantages of this approach are (1) a unified re...
Steven M. Seitz, P. Anandan
MICCAI
2006
Springer
16 years 2 months ago
Extrapolating Tumor Invasion Margins for Physiologically Determined Radiotherapy Regions
Abstract. In radiotherapy, the constant margin taken around the visible tumor is a very coarse approximation of the invasion margin of cancerous cells. In this article, a new formu...
Ender Konukoglu, Olivier Clatz, Pierre-Yves Bondia...
ICIP
2005
IEEE
16 years 3 months ago
Segmenting small regions in the presence of noise
Binary segmentation, a problem of extracting foreground objects from the background, often arises in medical imaging and document processing. Popular existing solutions include Ex...
Rashi Samur, Vitali Zagorodnov