Thomas Blumensath

Orcid: 0000-0002-7489-265X

According to our database1, Thomas Blumensath authored at least 46 papers between 2004 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Invertible Low-Dimensional Modelling of X-ray Absorption Spectra for Potential Applications in Spectral X-ray Imaging.
CoRR, 2023

Stereo X-ray Tomography.
CoRR, 2023

2022
Data-Driven Interpolation for Super-Scarce X-Ray Computed Tomography.
CoRR, 2022

Sinogram Enhancement with Generative Adversarial Networks using Shape Priors.
CoRR, 2022

Quantity Over Quality? Investigating the Effects of Volume and Strength of Training Data in Marine Bioacoustics.
Proceedings of the 7th Workshop on Detection and Classification of Acoustic Scenes and Events 2022, 2022

2021
Scalable FBP decomposition for cone-beam CT reconstruction.
Proceedings of the International Conference for High Performance Computing, 2021

2020
Arbitrarily large tomography with iterative algorithms on multiple GPUs using the TIGRE toolbox.
J. Parallel Distributed Comput., 2020

2019
Numerically robust tetrahedron-based tomographic forward and backward projectors on parallel architectures.
CoRR, 2019

Arbitrarily large iterative tomographic reconstruction on multiple GPUs using the TIGRE toolbox.
CoRR, 2019

Block stochastic gradient descent for large-scale tomographic reconstruction in a parallel network.
CoRR, 2019

2018
A Joint Row and Column Action Method for Cone-Beam Computed Tomography.
IEEE Trans. Computational Imaging, 2018

Backprojection inverse filtration for laminographic reconstruction.
IET Image Process., 2018

BSGD-TV: A parallel algorithm solving total variation constrained image reconstruction problems.
CoRR, 2018

2017
Distributed Computation of Linear Inverse Problems with Application to Computed Tomography.
CoRR, 2017

2016
Directional Clustering Through Matrix Factorization.
IEEE Trans. Neural Networks Learn. Syst., 2016

2014
Monte Carlo methods for compressed sensing.
Proceedings of the IEEE International Conference on Acoustics, 2014

Sparse matrix decompositions for clustering.
Proceedings of the 22nd European Signal Processing Conference, 2014

A spatially constrained low-rank matrix factorization for the functional parcellation of the brain.
Proceedings of the 22nd European Signal Processing Conference, 2014

2013
Compressed Sensing With Nonlinear Observations and Related Nonlinear Optimization Problems.
IEEE Trans. Inf. Theory, 2013

Spatially constrained hierarchical parcellation of the brain with resting-state fMRI.
NeuroImage, 2013

2012
Accelerated iterative hard thresholding.
Signal Process., 2012

Compressed Sensing with Nonlinear Observations and Related Nonlinear Optimisation Problems
CoRR, 2012

Resting-State FMRI Single Subject Cortical Parcellation Based on Region Growing.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Greedy algorithms for compressed sensing.
Proceedings of the Compressed Sensing, 2012

2011
Sampling and Reconstructing Signals From a Union of Linear Subspaces.
IEEE Trans. Inf. Theory, 2011

2010
Sparse Representations in Audio and Music: From Coding to Source Separation.
Proc. IEEE, 2010

Normalized Iterative Hard Thresholding: Guaranteed Stability and Performance.
IEEE J. Sel. Top. Signal Process., 2010

2009
Dictionary learning for sparse approximations with the majorization method.
IEEE Trans. Signal Process., 2009

Stagewise weak gradient pursuits.
IEEE Trans. Signal Process., 2009

Sampling Theorems for Signals From the Union of Finite-Dimensional Linear Subspaces.
IEEE Trans. Inf. Theory, 2009

Parsimonious dictionary learning.
Proceedings of the IEEE International Conference on Acoustics, 2009

A simple, efficient and near optimal algorithm for compressed sensing.
Proceedings of the IEEE International Conference on Acoustics, 2009

2008
Gradient Pursuits.
IEEE Trans. Signal Process., 2008

Iterative Hard Thresholding for Compressed Sensing
CoRR, 2008

Regularized dictionary learning for sparse approximation.
Proceedings of the 2008 16th European Signal Processing Conference, 2008

Gradient pursuit for non-linear sparse signal modelling.
Proceedings of the 2008 16th European Signal Processing Conference, 2008

2007
Monte Carlo Methods for Adaptive Sparse Approximations of Time-Series.
IEEE Trans. Signal Process., 2007

Quantized Sparse Approximation with Iterative Thresholding for Audio Coding.
Proceedings of the IEEE International Conference on Acoustics, 2007

Iterative Hard Thresholding and L0 Regularisation.
Proceedings of the IEEE International Conference on Acoustics, 2007

Compressed Sensing and Source Separation.
Proceedings of the Independent Component Analysis and Signal Separation, 2007

In greedy PURSUIT of new directions: (Nearly) Orthogonal Matching Pursuit by directional optimisation.
Proceedings of the 15th European Signal Processing Conference, 2007

2006
Sparse and shift-Invariant representations of music.
IEEE Trans. Speech Audio Process., 2006

Sparse representations of polyphonic music.
Signal Process., 2006

2005
A fast importance sampling algorithm for unsupervised learning of over-complete dictionaries.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004
Unsupervised learning of sparse and shift-invariant decompositions of polyphonic music.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

On Shift-Invariant Sparse Coding.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004


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