843 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Delft University of TechnologyNL35 papers
- Leiden UniversityNL29 papers
- Centrum Wiskunde & InformaticaNL13 papers
- University Medical Center UtrechtNL13 papers
- Utrecht UniversityNL11 papers
- Amsterdam University Medical CentersNL9 papers
- Radboud University NijmegenNL9 papers
- University of AmsterdamNL9 papers
- University of TwenteNL9 papers
- Erasmus MCNL8 papers
- University College LondonGB8 papers
- Eindhoven University of TechnologyNL7 papers
15 papers · 1 filter
Gradient Coil Design and Realization for a Halbach-Based MRI System
Bart de Vos, Patrick Fuchs, Thomas O'Reilly +2
In this paper we design and construct gradient coils for a Halbach permanent magnet array magnetic resonance (MR) scanner. The target field method, which is widely applied for the…
Adaptive-CS-Net: FastMRI with Adaptive Intelligence
Nicola Pezzotti, Elwin de Weerdt, Sahar Yousefi +9
Adaptive intelligence aims at empowering machine learning techniques with the extensive use of domain knowledge. In this work, we present the application of adaptive intelligence t…
Sensitivity analysis for bias due to a misclassfied confounding variable in marginal structural models
Linda Nab, Rolf H. H. Groenwold, Maarten van Smeden +1
In observational research treatment effects, the average treatment effect (ATE) estimator may be biased if a confounding variable is misclassified. We discuss the impact of classif…
Another look at the Lady Tasting Tea and differences between permutation tests and randomization tests
Jesse Hemerik, Jelle J. Goeman
The statistical literature is known to be inconsistent in the use of the terms "permutation test" and "randomization test". Several authors succesfully argue that these terms shoul…
Exact model comparisons in the plausibility framework
Stefan Böhringer, Dietmar Lohmann
Plausibility is a formalization of exact tests for parametric models and generalizes procedures such as Fisher's exact test. The resulting tests are based on cumulative probabiliti…
The Domain Shift Problem of Medical Image Segmentation and Vendor-Adaptation by Unet-GAN
Wenjun Yan, Yuanyuan Wang, Shengjia Gu +4
Convolutional neural network (CNN), in particular the Unet, is a powerful method for medical image segmentation. To date Unet has demonstrated state-of-art performance in many comp…
Hierarchical stochastic neighbor embedding as a tool for visualizing the encoding capability of magnetic resonance fingerprinting dictionaries
Kirsten Koolstra, Peter Börnert, Boudewijn Lelieveldt +2
In Magnetic Resonance Fingerprinting (MRF) the quality of the estimated parameter maps depends on the encoding capability of the variable flip angle train. In this work we show how…
Robust testing in generalized linear models by sign-flipping score contributions
Jesse Hemerik, Jelle J Goeman, Livio Finos
Generalized linear models are often misspecified due to overdispersion, heteroscedasticity and ignored nuisance variables. Existing quasi-likelihood methods for testing in misspeci…
Quantitative Error Prediction of Medical Image Registration using Regression Forests
Hessam Sokooti, Gorkem Saygili, Ben Glocker +2
Predicting registration error can be useful for evaluation of registration procedures, which is important for the adoption of registration techniques in the clinic. In addition, qu…
The population-attributable fraction for time-dependent exposures using dynamic prediction and landmarking
Maja von Cube, Martin Schumacher, Hein Putter +3
The public health impact of a harmful exposure can be quantified by the population-attributable fraction (PAF). The PAF describes the attributable risk due to an exposure and is of…
Improving Model-based Genetic Programming for Symbolic Regression of Small Expressions
Marco Virgolin, Tanja Alderliesten, Cees Witteveen +1
The Gene-pool Optimal Mixing Evolutionary Algorithm (GOMEA) is a model-based EA framework that has been shown to perform well in several domains, including Genetic Programming (GP)…
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge
Hugo J. Kuijf, J. Matthijs Biesbroek, Jeroen de Bresser +41
Quantification of cerebral white matter hyperintensities (WMH) of presumed vascular origin is of key importance in many neurological research studies. Currently, measurements are o…
Insights into brain microstructure from in vivo DW-MRS
Marco Palombo, Noam Shemesh, Itamar Ronen +1
Many developmental processes, such as plasticity and aging, or pathological processes such as neurological diseases are characterized by modulations of specific cellular types and…
Histo-blood group glycans in the context of personalized medicine
Viktoria Dotz, Manfred Wuhrer
Background: A subset of histo-blood group antigens including ABO and Lewis are oligosaccharide structures which may be conjugated to lipids or proteins. They are known to be import…
Only Closed Testing Procedures are Admissible for Controlling False Discovery Proportions
Jelle Goeman, Jesse Hemerik, Aldo Solari
We consider the class of all multiple testing methods controlling tail probabilities of the false discovery proportion, either for one random set or simultaneously for many such se…