144 citations · 155 across the 13 of their papers we have counts for
3 papers · 1 filter
LEAN: graph-based pruning for convolutional neural networks by extracting longest chains
Richard Schoonhoven, Allard A. Hendriksen, Daniël M. Pelt +1
Neural network pruning techniques can substantially reduce the computational cost of applying convolutional neural networks (CNNs). Common pruning methods determine which convoluti…
A computationally efficient reconstruction algorithm for circular cone-beam computed tomography using shallow neural networks
Marinus J. Lagerwerf, Daniel M Pelt, Willem Jan Palenstijn +1
Circular cone-beam (CCB) Computed Tomography (CT) has become an integral part of industrial quality control, materials science and medical imaging. The need to acquire and process…
Noise2Inverse: Self-supervised deep convolutional denoising for tomography
Allard A. Hendriksen, Daniel M. Pelt, K. Joost Batenburg
Recovering a high-quality image from noisy indirect measurements is an important problem with many applications. For such inverse problems, supervised deep convolutional neural net…