activity
20082024
most citedIterative Hard Thresholding for Compressed Sensing

93 citations · 128 across the 14 of their papers we have counts for

collaborators

15 papers

physics.med-ph2024

TIGRE v3: Efficient and easy to use iterative computed tomographic reconstruction toolbox for real datasets

Ander Biguri, Tomoyuki Sadakane, Reuben Lindroos +11

Computed Tomography (CT) has been widely adopted in medicine and it is increasingly being used in scientific and industrial applications. Parallelly, research in different mathemat…

cs.LG2023

Invertible Low-Dimensional Modelling of X-ray Absorption Spectra for Potential Applications in Spectral X-ray Imaging

Raziye Kubra Kumrular, Thomas Blumensath

X-ray interaction with matter is an energy-dependent process that is contingent on the atomic structure of the constituent material elements. The most advanced models to capture th…

physics.app-ph2023★ 13 cited

The realisation of fast X-ray computed tomography using a limited number of projection images for dimensional metrology

Wenjuan Sun, Stephan Chretien, Ander Biguri +3

Due to the merit of establishing volumetric data, X-ray computed tomography (XCT) is increasingly used as a non-destructive evaluation technique in the quality control of advanced…

eess.IV2023

Stereo X-ray Tomography

Zhenduo Shang, Thomas Blumensath

X-ray tomography is a powerful volumetric imaging technique, but detailed three dimensional (3D) imaging requires the acquisition of a large number of individual X-ray images, whic…

eess.IV2022

Data-Driven Interpolation for Super-Scarce X-Ray Computed Tomography

Emilien Valat, Katayoun Farrahi, Thomas Blumensath

We address the problem of reconstructing X-Ray tomographic images from scarce measurements by interpolating missing acquisitions using a self-supervised approach. To do so, we trai…

eess.IV2022★ 1 cited

Sinogram Enhancement with Generative Adversarial Networks using Shape Priors

Emilien Valat, Katayoun Farrahi, Thomas Blumensath

Compensating scarce measurements by inferring them from computational models is a way to address ill-posed inverse problems. We tackle Limited Angle Tomography by completing the se…