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Stefan Klein

Researcher at Erasmus University Rotterdam

Publications -  298
Citations -  12495

Stefan Klein is an academic researcher from Erasmus University Rotterdam. The author has contributed to research in topics: Image registration & Medicine. The author has an hindex of 41, co-authored 263 publications receiving 10125 citations. Previous affiliations of Stefan Klein include Erasmus University Medical Center & University College London.

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elastix : A Toolbox for Intensity-Based Medical Image Registration

TL;DR: The software consists of a collection of algorithms that are commonly used to solve medical image registration problems, and allows the user to quickly configure, test, and compare different registration methods for a specific application.
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Fast parallel image registration on CPU and GPU for diagnostic classification of Alzheimer's disease.

TL;DR: The accelerated registration tool elastix is employed in a study on diagnostic classification of Alzheimer's disease and cognitively normal controls based on T1-weighted MRI and has nearly identical results to the non-optimized version.
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Evaluation of Optimization Methods for Nonrigid Medical Image Registration Using Mutual Information and B-Splines

TL;DR: This work compares the performance of eight optimization methods: gradient descent, quasi-Newton, nonlinear conjugate gradient, Kiefer-Wolfowitz, simultaneous perturbation, Robbins-Monro, and evolution strategy, and shows that the Robbins- Monro method is the best choice in most applications.
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Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge

TL;DR: The organization of the challenge, the data and evaluation methods and the outcome of the initial launch with 20 algorithms, which comprised the comprehensive evaluation and comparison of 20 individual algorithms from leading academic and industrial research groups are detailed.
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Automatic segmentation of the prostate in 3D MR images by atlas matching using localized mutual information.

TL;DR: An automatic method for delineating the prostate in three-dimensional magnetic resonance scans is presented, based on nonrigid registration of a set of prelabeled atlas images, and the segmentation quality is especially good at the prostate-rectum interface.