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Allard A Hendriksen

Showing results (1-10 of 7) with videos related to

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Journal of Synchrotron Radiation|January 5, 2022
Foam-like phantoms for comparing tomography algorithmsDaniël M Pelt, Allard A Hendriksen, Kees Joost Batenburg
Optics Express|April 4, 2024
How auto-differentiation can improve CT workflows: classical algorithms in a modern frameworkRichard Schoonhoven, Alexander Skorikov, Willem Jan Palenstijn, et al.
Scientific Reports|December 18, 2021
Deep learning based classification of dynamic processes in time-resolved X-ray tomographic microscopyMinna Bührer, Hong Xu, Allard A Hendriksen, et al.
Medical Physics|August 30, 2019
Segmentation of dental cone-beam CT scans affected by metal artifacts using a mixed-scale dense convolutional neural networkJordi Minnema, Maureen van Eijnatten, Allard A Hendriksen, et al.
Optics Express|November 23, 2021
Tomosipo: fast, flexible, and convenient 3D tomography for complex scanning geometries in PythonAllard A Hendriksen, Dirk Schut, Willem Jan Palenstijn, et al.
Scientific Reports|June 5, 2021
Deep denoising for multi-dimensional synchrotron X-ray tomography without high-quality reference dataAllard A Hendriksen, Minna Bührer, Laura Leone, et al.
Medical Physics|February 26, 2024
Deep-learning-based joint rigid and deformable contour propagation for magnetic resonance imaging-guided prostate radiotherapyIris D Kolenbrander, Matteo Maspero, Allard A Hendriksen, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Journal of Synchrotron Radiation|January 5, 2022
Foam-like phantoms for comparing tomography algorithmsDaniël M Pelt, Allard A Hendriksen, Kees Joost Batenburg
Optics Express|April 4, 2024
How auto-differentiation can improve CT workflows: classical algorithms in a modern frameworkRichard Schoonhoven, Alexander Skorikov, Willem Jan Palenstijn, et al.
Scientific Reports|December 18, 2021
Deep learning based classification of dynamic processes in time-resolved X-ray tomographic microscopyMinna Bührer, Hong Xu, Allard A Hendriksen, et al.
Medical Physics|August 30, 2019
Segmentation of dental cone-beam CT scans affected by metal artifacts using a mixed-scale dense convolutional neural networkJordi Minnema, Maureen van Eijnatten, Allard A Hendriksen, et al.
Optics Express|November 23, 2021
Tomosipo: fast, flexible, and convenient 3D tomography for complex scanning geometries in PythonAllard A Hendriksen, Dirk Schut, Willem Jan Palenstijn, et al.
Scientific Reports|June 5, 2021
Deep denoising for multi-dimensional synchrotron X-ray tomography without high-quality reference dataAllard A Hendriksen, Minna Bührer, Laura Leone, et al.
Medical Physics|February 26, 2024
Deep-learning-based joint rigid and deformable contour propagation for magnetic resonance imaging-guided prostate radiotherapyIris D Kolenbrander, Matteo Maspero, Allard A Hendriksen, et al.
Pageof 1