IPMI
2009
Springer
13 years 9 months ago
2009
Springer
Functional magnetic resonance imaging (fMRI) has become increasingly used for studying functional integration of the brain. However, the large inter-subject variability in function...
IPMI
2009
Springer
13 years 9 months ago
2009
Springer
Abstract. In this paper we propose a novel approach to define task-driven regularization constraints in deformable image registration using learned deformation priors. Our method ...
IPMI
2009
Springer
13 years 11 months ago
2009
Springer
Abstract. Volumetric registration of brain MR images presents a challenging problem due to the wide variety of sulcal folding patterns. We present a novel volumetric registration m...
IPMI
2009
Springer
13 years 11 months ago
2009
Springer
IPMI
2009
Springer
13 years 11 months ago
2009
Springer
In this paper, we present a manifold clustering method for the classification of fibers obtained from diffusion tensor images (DTI) of the human skeletal muscle. Using a linear ...
IPMI
2009
Springer
13 years 11 months ago
2009
Springer
This paper proposes a novel and robust approach to the groupwise point-sets registration problem in the presence of large amounts of noise and outliers. Each of the point sets is r...
IPMI
2009
Springer
13 years 11 months ago
2009
Springer
We propose a method for estimating confidence regions around shapes predicted from partial observations, given a statistical shape model. Our method relies on the estimation of the...
IPMI
2009
Springer
13 years 11 months ago
2009
Springer
Abstract. We present an exploratory method for simultaneous parcellation of multisubject fMRI data into functionally coherent areas. The method is based on a solely functional repr...
IPMI
2009
Springer
13 years 11 months ago
2009
Springer
We present an image driven approach to the reconstruction of 3-D volumes from stacks of 2-D post-mortem sections (histology, cryoimaging, autoradiography or immunohistochemistry) i...
IPMI
2009
Springer
14 years 5 months ago
2009
Springer
This paper presents a method for estimating uncertainty in MRI-based brain region delineations provided by fully-automated segmentation methods. In large data sets, the uncertainty...