Publications
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Asymmetry total variation and framelet regularized nonconvex low-rank tensor completion Ghent University
Comparison of conventional techniques to differentiate between Taenia solium and Taenia saginata and an improved polymerase chain reaction-restriction fragment length polymorphism assay using a mitochondrial 12S rDNA fragment Institute of Tropical Medicine
SPARSE-VIEW MEDICAL TOMOSYNTHESIS VIA MIXED SCALE DENSE CONVOLUTIONAL FRAMELET NETWORKS Interuniversity Microelectronics Centre University of Antwerp
X-ray tomosynthesis is a low-dose and relatively inexpensive 3D imaging technique that relies on limited-angle and sparse-view tomography. Unfortunately, tomosynthesis often leads to reconstructed images that are corrupted by ripple artifacts. The current state-of-the-art for artifact suppression in tomographic data involves the use of Convolutional Neural Networks for mapping corrupted reconstructions into artifact-free images. Recently, Deep ...
The deep steerable convolutional framelet network for suppressing directional artifacts in X-ray tomosynthesis University of Antwerp
Tomographic artifacts are unwanted distortions and/or structures not present in the scanned body that may appear in the reconstructed images. Recent deep learning-based methods for suppressing artifacts in tomographic images are currently not informed by the nature of these artifacts in the design of their network architectures. In this work, we present the Deep Steerable Convolutional Framelet Network (DSCFN), inspired by the theory of deep ...
Asymmetry total variation and framelet regularized nonconvex low-rank tensor completion Interuniversity Microelectronics Centre Ghent University
The low-rank tensor representation has shown enormous potential and advantages in diverse applica-tions, such as image inpainting, image restoration. However, (1) due to the inherent limitations of the low-rank tensor model, the tensor nuclear norm is utilized yet as a biased estimate of the tensor rank, which limits the image recovery performance. (2) most current low-rank approximation-based meth-ods focus on the preservation of global ...
Sparse-view medical tomosynthesis via mixed scale dense convolutional framelet networks University of Antwerp
X-ray tomosynthesis is a low-dose and relatively inexpensive 3D imaging technique that relies on limited-angle and sparse-view tomography. Unfortunately, tomosynthesis often leads to reconstructed images that are corrupted by ripple artifacts. The current state-of-the-art for artifact suppression in tomographic data involves the use of Convolutional Neural Networks for mapping corrupted reconstructions into artifact-free images. Recently, Deep ...
A Deep Convolutional Framelet Network based on Tight Steerable Wavelet University of Antwerp
Data from amplified fragment length polymorphism (AFLP) markers show indication of size homoplasy and of a relationship between degree of homoplasy and fragment size Research Institute for Agriculture, Fisheries and Food
We investigate the distribution of sizes of fragments obtained from the amplified fragment length polymorphism (AFLP) marker technique. We find that empirical distributions obtained in two plant species, Phaseolus lunatus and Lolium perenne, are consistent with the expected distributions obtained from analytical theory and from numerical simulations. Our results indicate that the size distribution is strongly asymmetrical, with a much higher ...