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Research project

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

Staff

Lead researchers

Professor Thomas Blumensath

Professor
Research interests
  • I develop and study advanced algorithms that can solve challenging inverse problems by effici…
  • I work closely with state-of-the-art imaging facilities (µ-VIS, the National Research Facilit…
  • My research interests cover areas such as: Theoretical and computational methods for Signal a…
Connect with Thomas

Email: Thomas.Blumensath@soton.ac.uk

Research outputs

Directional clustering through matrix factorization
Thomas Blumensath, 2016, IEEE Transactions on Neural Networks and Learning Systems, 27(10), 2095-2107
DOI: 10.1109/TNNLS.2015.2505060
Type: article
k-t FASTER: a novel method for accelerating FMRI data acquisition using low rank constraints
Mark Chiew, Steve M. Smith, Peter J. Koopmans, Nadine N. Graedel, Thomas Blumensath & Karla L. Miller, 2015, Magnetic Resonance in Medicine, 74(2), 353-364
DOI: 10.1002/mrm.25395
Type: article
Non-convexly constrained image reconstruction from nonlinear tomographic X-ray measurements
Thomas Blumensath & Richard P. Boardman, 2015, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 373(2043)
DOI: 10.1098/rsta.2014.0393
Type: article
A spatially constrained low-rank matrix factorization for the functional parcellation of the brain
A. Benichoux & T. Blumensath, 2014, Proc. 22nd European Signal Processing Conference, 1-5
Type: article
Non-linear compressed sensing and its application to beam hardening correction in x-ray tomography
T. Blumensath, 2014
Type: other
Monte Carlo methods for compressed sensing
Thomas Blumensath, 2014
DOI: 10.1109/ICASSP.2014.6853747
Type: conference
Sparse matrix decompositions for clustering
Thomas Blumensath, 2014
Type: conference