Thomas Blumensath

Publication Activity (10 Years)

Years Active: 2004-2023
Publications (10 Years): 15

Top Topics

Nonlinear Optimization

Matrix Factorization

Monte Carlo Methods

Compressed Sensing

Top Venues

IEEE Trans. Inf. Theory

Publications

Zhenduo Shang, Thomas Blumensath
Stereo X-ray Tomography. CoRR (2023)
Raziye Kubra Kumrular, Thomas Blumensath
Invertible Low-Dimensional Modelling of X-ray Absorption Spectra for Potential Applications in Spectral X-ray Imaging. CoRR (2023)
Emilien Valat, Katayoun Farrahi, Thomas Blumensath
Sinogram Enhancement with Generative Adversarial Networks using Shape Priors. CoRR (2022)
Andrea Napoli, Paul R. White, Thomas Blumensath
Quantity Over Quality? Investigating the Effects of Volume and Strength of Training Data in Marine Bioacoustics. DCASE (2022)
Emilien Valat, Katayoun Farrahi, Thomas Blumensath
Data-Driven Interpolation for Super-Scarce X-Ray Computed Tomography. CoRR (2022)
Peng Chen, Mohamed Wahib, Xiao Wang, Takahiro Hirofuchi, Hirotaka Ogawa, Ander Biguri, Richard P. Boardman, Thomas Blumensath, Satoshi Matsuoka
Scalable FBP decomposition for cone-beam CT reconstruction. SC (2021)
Ander Biguri, Reuben Lindroos, Robert Bryll, Hossein Towsyfyan, Hans Deyhle, Ibrahim El Khalil Harrane, Richard P. Boardman, Mark Mavrogordato, Manjit Dosanjh, Steven Hancock, Thomas Blumensath
Arbitrarily large tomography with iterative algorithms on multiple GPUs using the TIGRE toolbox. J. Parallel Distributed Comput. 146 (2020)
Ander Biguri, Hossein Towsyfyan, Richard P. Boardman, Thomas Blumensath
Numerically robust tetrahedron-based tomographic forward and backward projectors on parallel architectures. CoRR (2019)
Yushan Gao, Ander Biguri, Thomas Blumensath
Block stochastic gradient descent for large-scale tomographic reconstruction in a parallel network. CoRR (2019)
Ander Biguri, Reuben Lindroos, Robert Bryll, Hossein Towsyfyan, Hans Deyhle, Richard P. Boardman, Mark Mavrogordato, Manjit Dosanjh, Steven Hancock, Thomas Blumensath
Arbitrarily large iterative tomographic reconstruction on multiple GPUs using the TIGRE toolbox. CoRR (2019)
Yushan Gao, Thomas Blumensath
A Joint Row and Column Action Method for Cone-Beam Computed Tomography. IEEE Trans. Computational Imaging 4 (4) (2018)
Thomas Blumensath
Backprojection inverse filtration for laminographic reconstruction. IET Image Process. 12 (9) (2018)
Yushan Gao, Thomas Blumensath
BSGD-TV: A parallel algorithm solving total variation constrained image reconstruction problems. CoRR (2018)
Yushan Gao, Thomas Blumensath
Distributed Computation of Linear Inverse Problems with Application to Computed Tomography. CoRR (2017)
Thomas Blumensath
Directional Clustering Through Matrix Factorization. IEEE Trans. Neural Networks Learn. Syst. 27 (10) (2016)
Thomas Blumensath
Sparse matrix decompositions for clustering. EUSIPCO (2014)
Alexis Benichoux, Thomas Blumensath
A spatially constrained low-rank matrix factorization for the functional parcellation of the brain. EUSIPCO (2014)
Thomas Blumensath
Monte Carlo methods for compressed sensing. ICASSP (2014)
Thomas Blumensath
Compressed Sensing With Nonlinear Observations and Related Nonlinear Optimization Problems. IEEE Trans. Inf. Theory 59 (6) (2013)
Thomas Blumensath, Saâd Jbabdi, Matthew F. Glasser, David C. Van Essen, Kamil Ugurbil, Timothy Edward John Behrens, Stephen M. Smith
Spatially constrained hierarchical parcellation of the brain with resting-state fMRI. NeuroImage 76 (2013)
Thomas Blumensath
Accelerated iterative hard thresholding. Signal Process. 92 (3) (2012)
Thomas Blumensath
Compressed Sensing with Nonlinear Observations and Related Nonlinear Optimisation Problems CoRR (2012)
Thomas Blumensath, Timothy Edward John Behrens, Stephen M. Smith
Resting-State FMRI Single Subject Cortical Parcellation Based on Region Growing. MICCAI (2) (2012)
Thomas Blumensath
Sampling and Reconstructing Signals From a Union of Linear Subspaces. IEEE Trans. Inf. Theory 57 (7) (2011)
Thomas Blumensath, Michael E. Davies
Normalized Iterative Hard Thresholding: Guaranteed Stability and Performance. IEEE J. Sel. Top. Signal Process. 4 (2) (2010)
Mark D. Plumbley, Thomas Blumensath, Laurent Daudet, Rémi Gribonval, Mike E. Davies
Sparse Representations in Audio and Music: From Coding to Source Separation. Proc. IEEE 98 (6) (2010)
Mehrdad Yaghoobi, Thomas Blumensath, Michael E. Davies
Parsimonious dictionary learning. ICASSP (2009)
Mehrdad Yaghoobi, Thomas Blumensath, Mike E. Davies
Dictionary learning for sparse approximations with the majorization method. IEEE Trans. Signal Process. 57 (6) (2009)
Thomas Blumensath, Michael E. Davies
Sampling Theorems for Signals From the Union of Finite-Dimensional Linear Subspaces. IEEE Trans. Inf. Theory 55 (4) (2009)
Thomas Blumensath, Mike E. Davies
A simple, efficient and near optimal algorithm for compressed sensing. ICASSP (2009)
Thomas Blumensath, Mike E. Davies
Stagewise weak gradient pursuits. IEEE Trans. Signal Process. 57 (11) (2009)
Thomas Blumensath
Sampling and reconstructing signals from a union of linear subspaces CoRR (2009)
Mehrdad Yaghoobi, Thomas Blumensath, Mike E. Davies
Regularized dictionary learning for sparse approximation. EUSIPCO (2008)
Thomas Blumensath, Michael E. Davies
Gradient Pursuits. IEEE Trans. Signal Process. 56 (6) (2008)
Thomas Blumensath, Mike E. Davies
Iterative Hard Thresholding for Compressed Sensing CoRR (2008)
Thomas Blumensath, Mike E. Davies
Gradient pursuit for non-linear sparse signal modelling. EUSIPCO (2008)
Thomas Blumensath, Michael E. Davies
Monte Carlo Methods for Adaptive Sparse Approximations of Time-Series. IEEE Trans. Signal Process. 55 (9) (2007)
Mehrdad Yaghoobi, Thomas Blumensath, Mike E. Davies
Quantized Sparse Approximation with Iterative Thresholding for Audio Coding. ICASSP (1) (2007)
Thomas Blumensath, Mike E. Davies
Compressed Sensing and Source Separation. ICA (2007)
Thomas Blumensath, Mehrdad Yaghoobi, Mike E. Davies
Iterative Hard Thresholding and L0 Regularisation. ICASSP (3) (2007)
Thomas Blumensath, Mike E. Davies
In greedy PURSUIT of new directions: (Nearly) Orthogonal Matching Pursuit by directional optimisation. EUSIPCO (2007)
Mark D. Plumbley, Samer A. Abdallah, Thomas Blumensath, Michael E. Davies
Sparse representations of polyphonic music. Signal Process. 86 (3) (2006)
Thomas Blumensath, Mike E. Davies
Sparse and shift-Invariant representations of music. IEEE Trans. Speech Audio Process. 14 (1) (2006)
Thomas Blumensath, Mike E. Davies
A fast importance sampling algorithm for unsupervised learning of over-complete dictionaries. ICASSP (5) (2005)
Thomas Blumensath, Mike E. Davies
On Shift-Invariant Sparse Coding. ICA (2004)
Thomas Blumensath, Mike E. Davies
Unsupervised learning of sparse and shift-invariant decompositions of polyphonic music. ICASSP (5) (2004)