IPMI
2009
Springer
14 years 8 months ago
2009
Springer
Abstract. We propose a novel method, fMRI-Informed Regional Estimation (FIRE), which utilizes information from fMRI in E/MEG source reconstruction. FIRE takes advantage of the spat...
IPMI
2009
Springer
14 years 8 months ago
2009
Springer
A general-purpose deformable registration algorithm referred
to as ”DRAMMS” is presented in this paper. DRAMMS adds to the
literature of registration methods that bridge betw...
IPMI
2009
Springer
14 years 8 months ago
2009
Springer
Many recent single-shell high angular resolution diffusion imaging reconstruction techniques have been introduced to reconstruct orientation distribution functions (ODF) that only ...
IPMI
2007
Springer
14 years 8 months ago
2007
Springer
IPMI
2007
Springer
14 years 8 months ago
2007
Springer
Abstract. A new method is introduced for estimating single-trial magnetoor electro-encephalography (M/EEG), based on a non-linear fit of timefrequency atoms. The method can be appl...
IPMI
2007
Springer
14 years 8 months ago
2007
Springer
This paper presents a novel statistical fuzzy-segmentation method for diffusion tensor (DT) images and magnetic resonance (MR) images. Typical fuzzy-segmentation schemes, e.g. thos...
IPMI
2007
Springer
14 years 8 months ago
2007
Springer
We introduce Localized Components Analysis (LoCA) for describing surface shape variation in an ensemble of biomedical objects using a linear subspace of spatially localized shape c...
IPMI
2007
Springer
14 years 8 months ago
2007
Springer
A fully learning-based framework has been presented for deformable registration of MR brain images. In this framework, the entire brain is first adaptively partitioned into a numbe...
IPMI
2007
Springer
14 years 8 months ago
2007
Springer
Abstract. We describe a new approach for estimating the posterior probability of tissue labels. Conventional likelihood models are combined with a curve length prior on boundaries,...
IPMI
2007
Springer
14 years 8 months ago
2007
Springer
Abstract. In this paper, we present a novel continuous mixture of diffusion tensors model for the diffusion-weighted MR signal attenuation. The relationship between the mixing dist...