IPMI
2009
Springer
14 years 4 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
14 years 4 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
14 years 6 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
14 years 6 months ago
2009
Springer
IPMI
2009
Springer
14 years 6 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
14 years 6 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
14 years 6 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
14 years 6 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
14 years 6 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
15 years 8 days 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...