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- Klaus Hahn, Nicholas Myers, +6 authors Christian Sorg
- NeuroImage
- 2013

Alzheimer's disease (AD) disrupts selectively and progressively (increasing with severity) functional connectivity of intrinsic brain networks (IBNs), most prominent in the default mode network. Given that IBNs' functional connectivity depends on structural connectivity, we hypothesize for our study selective and progressive changes of IBN based structural… (More)

- Klaus Hahn, Sergei Prigarin, Benno Pütz
- MICCAI
- 2001

Though low signal to noise ratio (SNR) experiments in DTI give key information about tracking and anisotropy, e.g. by measurements with very small voxel sizes, due to the complicated impact of thermal noise such experiments are up to now seldom analysed. In this paper Monte Carlo simulations are presented which investigate the random fields of noise for… (More)

We consider several stochastic algorithms for fiber tracking and compute the connectivity matrix from data obtained by magnetic resonance diffusion tensor imaging of the living human brain.

- Andreas Martin, Sergei Prigarin, Gerhard Winkler
- Int. J. Comput. Math.
- 2003

On the basis of integral representations we propose fast numerical methods to solve the Cauchy problem for the stochastic wave equation without boundaries and with the Dirichlet boundary conditions. The algorithms are exact in a probabilistic sense. 1 Statement of the problem and integral representations Consider the stochastic wave equation ∂X ∂t (t, x)−… (More)

- S M Prigarin, G Winkler
- 2002

To solve boundary value problems for linear systems of stochastic differential equations we propose and justify a numerical method based on the Gibbs sampler. In contrast to the technique which yields for linear systems an ”exact” numerical solution, the proposed method is simpler to generalize for stochastic partial differential equations and nonlinear… (More)

- Klaus Hahn, Sergei Prigarin, Khader M Hasan
- Magnetic resonance imaging
- 2013

Analysis of crossing fibers is a challenging topic in recent diffusion-weighted imaging (DWI). Resolving crossing fibers is expected to bring major changes to present tractography results based on the standard tensor model. Model free approaches, like Q-ball or diffusion spectrum imaging, as well as multi-tensor models are used to unfold the different… (More)

A simple and fast algorithm for generating two correlated stochastic twodimensional (2D) cloud fields is described. The algorithm is illustrated with two broken cumulus cloud fields: cloud optical depth and cloud top height retrieved from Moderate Resolution Imaging Spectrometer (MODIS). Only two 2D fields are required as an input. The algorithm output is… (More)

We propose a new approach for model selection in mathematical statistics that is based not on the probability but on the ‘waiting time’ of a sample. By waiting time of a sample we understand the average time of the first appearance of the sample in a sequence of independent identically distributed random variables. In the paper we consider a few simple… (More)

- Klaus Hahn, Peter R. Massopust, Sergei Prigarin
- BMC Bioinformatics
- 2016

Networks or graphs play an important role in the biological sciences. Protein interaction networks and metabolic networks support the understanding of basic cellular mechanisms. In the human brain, networks of functional or structural connectivity model the information-flow between cortex regions. In this context, measures of network properties are needed.… (More)