39 citations · 130 across the 8 of their papers we have counts for
9 papers
A Spatio-Temporal Multivariate Shared Component Model with an Application in Iran Cancer Data
Behzad Mahaki, Yadollah Mehrabi, Amir Kavousi +1
Among the proposals for joint disease mapping, the shared component model has become more popular. Another recent advance to strengthen inference of disease data has been the exten…
The Impact of Model Assumptions in Scalar-on-Image Regression
Clara Happ, Sonja Greven, Volker J. Schmid
Complex statistical models such as scalar-on-image regression often require strong assumptions to overcome the issue of non-identifiability. While in theory it is well understood t…
Automatic 3D object detection of Proteins in Fluorescent labeled microscope images with spatial statistical analysis
Ramin Norousi, Volker J. Schmid
Since manual object detection is very inaccurate and time consuming, some automatic object detection tools have been developed in recent years. At the moment, there is no image ana…
Automatic post-picking using MAPPOS improves particle image detection from Cryo-EM micrographs
Ramin Norousi, Stephan Wickles, Christoph Leidig +4
Cryo-electron microscopy (cryo-EM) studies using single particle reconstruction are extensively used to reveal structural information on macromolecular complexes. Aiming at the hig…
Spatial two tissue compartment model for DCE-MRI
Julia C. Sommer, Volker J. Schmid
In the quantitative analysis of Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) compartment models allow to describe the uptake of contrast medium with biological me…
Automatic post-picking improves particle image detection from Cryo-EM micrographs
Ramin Norousi, Stephan Wickles, Thomas Becker +3
Cryo-electron microscopy (cryo-EM) studies using single particle reconstruction is extensively used to reveal structural information of macromolecular complexes. Aiming at the high…
A comparison of Gap statistic definitions with and without logarithm function
Mojgan Mohajer, Karl-Hans Englmeier, Volker J. Schmid
The Gap statistic is a standard method for determining the number of clusters in a set of data. The Gap statistic standardizes the graph of , where is the with…
A Semi-parametric Technique for the Quantitative Analysis of Dynamic Contrast-enhanced MR Images Based on Bayesian P-splines
Volker J. Schmid, Brandon Whitcher, Anwar R. Padhani +1
Dynamic Contrast-enhanced Magnetic Resonance Imaging (DCE-MRI) is an important tool for detecting subtle kinetic changes in cancerous tissue. Quantitative analysis of DCE-MRI typic…
A Bayesian Hierarchical Model for the Analysis of a Longitudinal Dynamic Contrast-Enhanced MRI Cancer Study
Volker J. Schmid, Brandon Whitcher, Anwar R. Padhani +2
Imaging in clinical oncology trials provides a wealth of information that contributes to the drug development process, especially in early phase studies. This paper focuses on kine…