A multiresolution approach to discrete tomography using DART.

by Andrei Dabravolski, Kees Joost Batenburg, Jan Sijbers
Published 2014-01-01

Improving Tomographic Reconstruction from Limited Data Using Mixed-Scale Dense Convolutional Neural Networks

by Daniël M. Pelt, Kees Joost Batenburg, James A. Sethian
Published 2018-10-01

Unsupervised Foreign Object Detection Based on Dual-Energy Absorptiometry in the Food Industry

by Vladyslav Andriiashen, Robert van Liere, Tristan van Leeuwen, Kees Joost Batenburg
Published 2021-06-01

A Computationally Efficient Reconstruction Algorithm for Circular Cone-Beam Computed Tomography Using Shallow Neural Networks

by Marinus J. Lagerwerf, Daniël M. Pelt, Willem Jan Palenstijn, Kees Joost Batenburg
Published 2020-12-01

Task-Driven Learned Hyperspectral Data Reduction Using End-to-End Supervised Deep Learning

by Mathé T. Zeegers, Daniël M. Pelt, Tristan van Leeuwen, Robert van Liere, Kees Joost Batenburg
Published 2020-12-01

Explorative Imaging and Its Implementation at the FleX-ray Laboratory

by Sophia Bethany Coban, Felix Lucka, Willem Jan Palenstijn, Denis Van Loo, Kees Joost Batenburg
Published 2020-04-01

On-the-Fly Machine Learning for Improving Image Resolution in Tomography

by Allard A. Hendriksen, Daniël M. Pelt, Willem Jan Palenstijn, Sophia B. Coban, Kees Joost Batenburg
Published 2019-06-01

Emulation of X-ray Light-Field Cameras

by Nicola Viganò, Felix Lucka, Ombeline de La Rochefoucauld, Sophia Bethany Coban, Robert van Liere, Marta Fajardo, Philippe Zeitoun, Kees Joost Batenburg
Published 2020-12-01

Quantitative Comparison of Deep Learning-Based Image Reconstruction Methods for Low-Dose and Sparse-Angle CT Applications

by Johannes Leuschner, Maximilian Schmidt, Poulami Somanya Ganguly, Vladyslav Andriiashen, Sophia Bethany Coban, Alexander Denker, Dominik Bauer, Amir Hadjifaradji, Kees Joost Batenburg, Peter Maass, Maureen van Eijnatten
Published 2021-03-01