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20152025
most citedUnbiased split variable selection for random survival forests using maximally selected rank statistics

150 citations

Showing 2017Show all

6 papers · 1 filter

stat.AP2017★ 16 cited

Group sequential designs for negative binomial outcomes

Tobias Mütze, Ekkehard Glimm, Heinz Schmidli +1

Count data and recurrent events in clinical trials, such as the number of lesions in magnetic resonance imaging in multiple sclerosis, the number of relapses in multiple sclerosis,…

physics.med-ph2017★ 29 cited

ENLIVE: An Efficient Nonlinear Method for Calibrationless and Robust Parallel Imaging

H. Christian M. Holme, Sebastian Rosenzweig, Frank Ong +3

Robustness against data inconsistencies, imaging artifacts and acquisition speed are crucial factors limiting the possible range of applications for magnetic resonance imaging (MRI…

physics.med-ph2017★ 1 cited

Autocalibrating and Calibrationless Parallel Magnetic Resonance Imaging as a Bilinear Inverse Problem

Martin Uecker

Modern reconstruction methods for magnetic resonance imaging (MRI) exploit the spatially varying sensitivity profiles of receive-coil arrays as additional source of information. Th…

physics.med-ph2017★ 29 cited

Simultaneous Multi-Slice MRI using Cartesian and Radial FLASH and Regularized Nonlinear Inversion: SMS-NLINV

Sebastian Rosenzweig, H. Christian M. Holme, Robin N. Wilke +3

Purpose: The development of a calibrationless parallel imaging method for accelerated simultaneous multi-slice (SMS) MRI based on Regularized Nonlinear Inversion (NLINV), evaluated…

stat.AP2017★ 8 cited

Sample size re-estimation incorporating prior information on a nuisance parameter

Tobias Mütze, Heinz Schmidli, Tim Friede

Prior information is often incorporated informally when planning a clinical trial. Here, we present an approach on how to incorporate prior information, such as data from historica…

cs.DC2017★ 35 cited

Accelerated Computing in Magnetic Resonance Imaging -- Real-Time Imaging Using Non-Linear Inverse Reconstruction

Sebastian Schaetz, Dirk Voit, Jens Frahm +1

Purpose: To develop generic optimization strategies for image reconstruction using graphical processing units (GPUs) in magnetic resonance imaging (MRI) and to exemplarily report a…