1.3k citations · 6.1k across the 35 of their papers we have counts for
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Combined analysis of coronary arteries and the left ventricular myocardium in cardiac CT angiography for detection of patients with functionally significant stenosis
Majd Zreik, Tim Leiner, Nadieh Khalili +5
Treatment of patients with obstructive coronary artery disease is guided by the functional significance of a coronary artery stenosis. Fractional flow reserve (FFR), measured durin…
Liver segmentation and metastases detection in MR images using convolutional neural networks
Mariëlle J. A. Jansen, Hugo J. Kuijf, Maarten Niekel +4
Primary tumors have a high likelihood of developing metastases in the liver and early detection of these metastases is crucial for patient outcome. We propose a method based on con…
Generalized Richardson-Lucy (GRL) for analyzing multi-shell diffusion MRI data
Fenghua Guo, Alexander Leemans, Max A. Viergever +2
Spherical deconvolution is a widely used approach to quantify fiber orientation distribution from diffusion MRI data. The damped Richardson-Lucy (dRL) is developed to perform robus…
Harmonization of diffusion MRI datasets with adaptive dictionary learning
Samuel St-Jean, Max A. Viergever, Alexander Leemans
Diffusion magnetic resonance imaging is a noninvasive imaging technique that can indirectly infer the microstructure of tissues and provide metrics which are subject to normal vari…
SMART tracking: Simultaneous anatomical imaging and real-time passive device tracking for MR-guided interventions
Frank Zijlstra, Max A. Viergever, Peter R. Seevinck
Purpose: This study demonstrates a proof of concept of a method for simultaneous anatomical imaging and real-time (SMART) passive device tracking for MR-guided interventions. Metho…
Vertebra partitioning with thin-plate spline surfaces steered by a convolutional neural network
Nikolas Lessmann, Jelmer M. Wolterink, Majd Zreik +3
Thin-plate splines can be used for interpolation of image values, but can also be used to represent a smooth surface, such as the boundary between two structures. We present a meth…
Automatic brain tissue segmentation in fetal MRI using convolutional neural networks
N. Khalili, N. Lessmann, E. Turk +6
MR images of fetuses allow clinicians to detect brain abnormalities in an early stage of development. The cornerstone of volumetric and morphologic analysis in fetal MRI is segment…
Generative adversarial network for segmentation of motion affected neonatal brain MRI
N. Khalili, E. Turk, M. Zreik +3
Automatic neonatal brain tissue segmentation in preterm born infants is a prerequisite for evaluation of brain development. However, automatic segmentation is often hampered by mot…
Automated characterization of noise distributions in diffusion MRI data
Samuel St-Jean, Alberto De Luca, Chantal M. W. Tax +2
Knowledge of the noise distribution in diffusion MRI is the centerpiece to quantify uncertainties arising from the acquisition process. Accurate estimation beyond textbook distribu…
Deep learning analysis of coronary arteries in cardiac CT angiography for detection of patients requiring invasive coronary angiography
Majd Zreik, Robbert W. van Hamersvelt, Nadieh Khalili +5
In patients with obstructive coronary artery disease, the functional significance of a coronary artery stenosis needs to be determined to guide treatment. This is typically establi…
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…
Reducing variability in along-tract analysis with diffusion profile realignment
Samuel St-Jean, Maxime Chamberland, Max A. Viergever +1
Diffusion weighted MRI (dMRI) provides a non invasive virtual reconstruction of the brain's white matter structures through tractography. Analyzing dMRI measures along the trajecto…