no code implementations • 7 Feb 2024 • Anh-Tuan Nguyen, Jens Renders, Domenico Iuso, Yves Maris, Jeroen Soete, Martine Wevers, Jan Sijbers, Jan De Beenhouwer
In four-dimensional computed tomography (4DCT), 3D images of moving or deforming samples are reconstructed from a set of 2D projection images.
1 code implementation • 13 May 2023 • Domenico Iuso, Soumick Chatterjee, Sven Cornelissen, Dries Verhees, Jan De Beenhouwer, Jan Sijbers
The findings were cross-validated in a 5-fold fashion and include: a performance benchmark of the DL models, an evaluation of the post-processing algorithm, an evaluation of the effect of training supervised models with the output of unsupervised models.
no code implementations • 23 Jan 2023 • Jens Renders, Banafshe Shafieizargar, Marleen Verhoye, Jan De Beenhouwer, Arnold J. den Dekker, Jan Sijbers
Longitudinal MRI is an important diagnostic imaging tool for evaluating the effects of treatment and monitoring disease progression.
no code implementations • 8 Apr 2019 • Shabab Bazrafkan, Vincent Van Nieuwenhove, Joris Soons, Jan De Beenhouwer, Jan Sijbers
This is an article about the Computed Tomography (CT) and how Deep Learning influences CT reconstruction pipeline, especially in low dose scenarios.