A Cone-Beam X-Ray CT Data Collection Designed for Machine Learning. - Henri Der Sarkissian; Felix Lucka; Maureen van Eijnatten; Giulia Colacicco; Sophia Bethany Coban; Kees Joost Batenburg (CoRR, 2019)

Parallel-beam X-ray CT datasets of apples with internal defects and label balancing for machine learning. - Sophia Bethany Coban; Vladyslav Andriiashen; Poulami Somanya Ganguly; Maureen van Eijnatten; Kees Joost Batenburg (CoRR, 2020)

Explorative Imaging and Its Implementation at the FleX-ray Laboratory. - Sophia Bethany Coban; Felix Lucka; Willem Jan Palenstijn; Denis Van Loo; Kees Joost Batenburg (J. Imaging, 2020)

Emulation of X-ray Light-Field Cameras. - Nicola Viganò; Felix Lucka; Ombeline de La Rochefoucauld; Sophia Bethany Coban; Robert van Liere; Marta Fajardo; Philippe Zeitoun; Kees Joost Batenburg (J. Imaging, 2020)

Prototyping X-ray tomographic reconstruction pipelines with FleXbox. - A. Kostenko; Willem Jan Palenstijn; Sophia Bethany Coban; Allard A. Hendriksen; Robert van Liere; Kees Joost Batenburg (SoftwareX, 2020)

Quantitative Comparison of Deep Learning-Based Image Reconstruction Methods for Low-Dose and Sparse-Angle CT Applications. - Johannes Leuschner; Maximilian Schmidt; Poulami Somanya Ganguly; Vladyslav Andriiashen; Sophia Bethany Coban; Alexander Denker; Dominik F. Bauer; Amir Hadjifaradji; Kees Joost Batenburg; Peter Maass; Maureen van Eijnatten (J. Imaging, 2021)

A tomographic workflow to enable deep learning for X-ray based foreign object detection. - Mathé T. Zeegers; Tristan van Leeuwen; Daniël Maria Pelt; Sophia Bethany Coban; Robert van Liere; Kees Joost Batenburg (Expert Syst. Appl., 2022)

2DeteCT - A large 2D expandable, trainable, experimental Computed Tomography dataset for machine learning. - Maximilian B. Kiss; Sophia Bethany Coban; Kees Joost Batenburg; Tristan van Leeuwen; Felix Lucka (CoRR, 2023)