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

Research outputs

Thomas Blumensath, 2016, IEEE Transactions on Neural Networks and Learning Systems, 27(10), 2095-2107
Type: article
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
Type: article
Thomas Blumensath & Richard P. Boardman, 2015, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 373(2043)
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