Thomas Blumensath

48 papers A 1Misc 3Journal 30Unranked 13

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	TIGRE v3: Efficient and easy to use iterative computed tomographic reconstruction toolbox for real datasets. CoRR Ander Biguri, Tomoyuki Sadakane, Reuben Lindroos, Yi Liu, Malena Sabaté Landman, Yi Du, Manasavee Lohvithee, Stefanie Kaser, Sepideh Hatamikia, Robert Bryll, Emilien Valat, Sarinrat Wonglee, Thomas Blumensath, Carola-Bibiane Schönlieb
2023	J	`jnl`	Invertible Low-Dimensional Modelling of X-ray Absorption Spectra for Potential Applications in Spectral X-ray Imaging. CoRR Raziye Kubra Kumrular, Thomas Blumensath
2023	J	`jnl`	Stereo X-ray Tomography. CoRR Zhenduo Shang, Thomas Blumensath
2022	J	`jnl`	Data-Driven Interpolation for Super-Scarce X-Ray Computed Tomography. CoRR Emilien Valat, Katayoun Farrahi, Thomas Blumensath
2022	—	`conf`	Quantity Over Quality? Investigating the Effects of Volume and Strength of Training Data in Marine Bioacoustics. DCASE Andrea Napoli, Paul R. White, Thomas Blumensath
2022	J	`jnl`	Sinogram Enhancement with Generative Adversarial Networks using Shape Priors. CoRR Emilien Valat, Katayoun Farrahi, Thomas Blumensath
2021	A	`conf`	Scalable FBP decomposition for cone-beam CT reconstruction. SC Peng Chen, Mohamed Wahib, Xiao Wang, Takahiro Hirofuchi, Hirotaka Ogawa, Ander Biguri, Richard P. Boardman, Thomas Blumensath, Satoshi Matsuoka
2020	J	`jnl`	Arbitrarily large tomography with iterative algorithms on multiple GPUs using the TIGRE toolbox. J. Parallel Distributed Comput. 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
2019	J	`jnl`	Arbitrarily large iterative tomographic reconstruction on multiple GPUs using the TIGRE toolbox. CoRR Ander Biguri, Reuben Lindroos, Robert Bryll, Hossein Towsyfyan, Hans Deyhle, Richard P. Boardman, Mark Mavrogordato, Manjit Dosanjh, Steven Hancock, Thomas Blumensath
2019	J	`jnl`	Block stochastic gradient descent for large-scale tomographic reconstruction in a parallel network. CoRR Yushan Gao, Ander Biguri, Thomas Blumensath
2019	J	`jnl`	Numerically robust tetrahedron-based tomographic forward and backward projectors on parallel architectures. CoRR Ander Biguri, Hossein Towsyfyan, Richard P. Boardman, Thomas Blumensath
2018	J	`jnl`	A Joint Row and Column Action Method for Cone-Beam Computed Tomography. IEEE Trans. Computational Imaging Yushan Gao, Thomas Blumensath
2018	J	`jnl`	BSGD-TV: A parallel algorithm solving total variation constrained image reconstruction problems. CoRR Yushan Gao, Thomas Blumensath
2018	J	`jnl`	Backprojection inverse filtration for laminographic reconstruction. IET Image Process. Thomas Blumensath
2017	J	`jnl`	Distributed Computation of Linear Inverse Problems with Application to Computed Tomography. CoRR Yushan Gao, Thomas Blumensath
2016	J	`jnl`	Directional Clustering Through Matrix Factorization. IEEE Trans. Neural Networks Learn. Syst. Thomas Blumensath
2014	—	`conf`	A spatially constrained low-rank matrix factorization for the functional parcellation of the brain. EUSIPCO Alexis Benichoux, Thomas Blumensath
2014	Misc	`conf`	Monte Carlo methods for compressed sensing. ICASSP Thomas Blumensath
2014	—	`conf`	Sparse matrix decompositions for clustering. EUSIPCO Thomas Blumensath
2013	J	`jnl`	Compressed Sensing With Nonlinear Observations and Related Nonlinear Optimization Problems. IEEE Trans. Inf. Theory Thomas Blumensath
2013	J	`jnl`	Spatially constrained hierarchical parcellation of the brain with resting-state fMRI. NeuroImage Thomas Blumensath, Saâd Jbabdi, Matthew F. Glasser, David C. Van Essen, Kâmil Ugurbil, Timothy Edward John Behrens, Stephen M. Smith
2012	J	`jnl`	Accelerated iterative hard thresholding. Signal Process. Thomas Blumensath
2012	J	`jnl`	Compressed Sensing with Nonlinear Observations and Related Nonlinear Optimisation Problems CoRR Thomas Blumensath
2012	—	`ch.`	Greedy algorithms for compressed sensing. Compressed Sensing Thomas Blumensath, Michael E. Davies, Gabriel Rilling
2012	—	`conf`	Resting-State FMRI Single Subject Cortical Parcellation Based on Region Growing. MICCAI (2) Thomas Blumensath, Timothy Edward John Behrens, Stephen M. Smith
2011	J	`jnl`	Sampling and Reconstructing Signals From a Union of Linear Subspaces. IEEE Trans. Inf. Theory Thomas Blumensath
2010	J	`jnl`	Normalized Iterative Hard Thresholding: Guaranteed Stability and Performance. IEEE J. Sel. Top. Signal Process. Thomas Blumensath, Michael E. Davies
2010	J	`jnl`	Sparse Representations in Audio and Music: From Coding to Source Separation. Proc. IEEE Mark D. Plumbley, Thomas Blumensath, Laurent Daudet, Rémi Gribonval, Mike E. Davies
2009	Misc	`conf`	A simple, efficient and near optimal algorithm for compressed sensing. ICASSP Thomas Blumensath, Mike E. Davies
2009	J	`jnl`	Dictionary learning for sparse approximations with the majorization method. IEEE Trans. Signal Process. Mehrdad Yaghoobi, Thomas Blumensath, Mike E. Davies
2009	Misc	`conf`	Parsimonious dictionary learning. ICASSP Mehrdad Yaghoobi, Thomas Blumensath, Michael E. Davies
2009	J	`jnl`	Sampling Theorems for Signals From the Union of Finite-Dimensional Linear Subspaces. IEEE Trans. Inf. Theory Thomas Blumensath, Michael E. Davies
2009	J	`jnl`	Sampling and reconstructing signals from a union of linear subspaces CoRR Thomas Blumensath
2009	J	`jnl`	Stagewise weak gradient pursuits. IEEE Trans. Signal Process. Thomas Blumensath, Mike E. Davies
2008	J	`jnl`	Gradient Pursuits. IEEE Trans. Signal Process. Thomas Blumensath, Michael E. Davies
2008	—	`conf`	Gradient pursuit for non-linear sparse signal modelling. EUSIPCO Thomas Blumensath, Mike E. Davies
2008	J	`jnl`	Iterative Hard Thresholding for Compressed Sensing CoRR Thomas Blumensath, Mike E. Davies
2008	—	`conf`	Regularized dictionary learning for sparse approximation. EUSIPCO Mehrdad Yaghoobi, Thomas Blumensath, Mike E. Davies
2007	—	`conf`	Compressed Sensing and Source Separation. ICA Thomas Blumensath, Mike E. Davies
2007	—	`conf`	In greedy PURSUIT of new directions: (Nearly) Orthogonal Matching Pursuit by directional optimisation. EUSIPCO Thomas Blumensath, Mike E. Davies
2007	—	`conf`	Iterative Hard Thresholding and L0 Regularisation. ICASSP (3) Thomas Blumensath, Mehrdad Yaghoobi, Mike E. Davies
2007	J	`jnl`	Monte Carlo Methods for Adaptive Sparse Approximations of Time-Series. IEEE Trans. Signal Process. Thomas Blumensath, Michael E. Davies
2007	—	`conf`	Quantized Sparse Approximation with Iterative Thresholding for Audio Coding. ICASSP (1) Mehrdad Yaghoobi, Thomas Blumensath, Mike E. Davies
2006	J	`jnl`	Sparse and shift-Invariant representations of music. IEEE Trans. Speech Audio Process. Thomas Blumensath, Mike E. Davies
2006	J	`jnl`	Sparse representations of polyphonic music. Signal Process. Mark D. Plumbley, Samer A. Abdallah, Thomas Blumensath, Michael E. Davies
2005	—	`conf`	A fast importance sampling algorithm for unsupervised learning of over-complete dictionaries. ICASSP (5) Thomas Blumensath, Mike E. Davies
2004	—	`conf`	On Shift-Invariant Sparse Coding. ICA Thomas Blumensath, Mike E. Davies
2004	—	`conf`	Unsupervised learning of sparse and shift-invariant decompositions of polyphonic music. ICASSP (5) Thomas Blumensath, Mike E. Davies