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Research project

Blumensath (first grant)-Constrained low rank matrix recovery:from efficient algorithms to brain network imaging

Lead researcher:
Research funder:
Not active


Lead researcher

Professor Thomas Blumensath


Research interests

  • I work on the development and study of advanced algorithms that can solve challenging inverse problems by efficiently exploiting complex prior information. Using techniques from mathematics, statistics and machine learning, my work concentrates primarily on problems in x-ray tomographic image reconstruction and modelling, working closely with state-of-the-art imaging facilities (µ-VIS, the National Research Facility in Lab-based XCT, the UK’s synchrotron facility at the Diamond Light Source, and ISIS neutron imaging beamline) to find practical solutions to a range of important scientific problems from plant science to manufacturing.

Connect with Thomas

Research outputs

Thomas Blumensath
, 2016 , IEEE Transactions on Neural Networks and Learning Systems , 27 (10) , 2095--2107
Type: article
A. Benichoux,
& T. Blumensath
, 2014 , Proc. 22nd European Signal Processing Conference , 1--5
Type: article
Thomas Blumensath
, 2014
Type: conference
Thomas Blumensath
, 2014
Type: conference
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