Exploiting low dimensional models in sensing, computation and signal processing

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Publications

Expectation-propagation for weak radionuclide identification at radiation portal monitors

Author(s): Yoann Altmann, Angela Di Fulvio, Marc G. Paff, Shaun D. Clarke, Mike E. Davies, Stephen McLaughlin, Alfred O. Hero & Sara A. Pozzi
Published in: Scientific Reports, Issue 10,, 2020, Page(s) 6811, ISSN 2045-2322
DOI: 10.1038/s41598-020-62947-3

Fast Online 3D Reconstruction of Dynamic Scenes From Individual Single-Photon Detection Events

Author(s): Yoann Altmann, Stephen McLaughlin, Michael E. Davies
Published in: IEEE Transactions on Image Processing, Issue 29, 2020, Page(s) 2666-2675, ISSN 1057-7149
DOI: 10.1109/tip.2019.2952008

CoverBLIP: accelerated and scalable iterative matched-filtering for magnetic resonance fingerprint reconstruction

Author(s): Mohammad Golbabaee, Zhouye Chen, Yves Wiaux, Mike Davies
Published in: Inverse Problems, Issue 36/1, 2020, Page(s) 015003, ISSN 0266-5611
DOI: 10.1088/1361-6420/ab4c9a

Robust 3D Reconstruction of Dynamic Scenes From Single-Photon Lidar Using Beta-Divergences

Author(s): Quentin Legros, Julian Tachella, Rachael Tobin, Aongus Mccarthy, Sylvain Meignen, Gerald S. Buller, Yoann Altmann, Stephen Mclaughlin, Michael E. Davies
Published in: IEEE Transactions on Image Processing, Issue 30, 2021, Page(s) 1716-1727, ISSN 1057-7149
DOI: 10.1109/tip.2020.3046882

The Practicality of Stochastic Optimization in Imaging Inverse Problems

Author(s): Junqi Tang, Karen Egiazarian, Mohammad Golbabaee, Mike Davies
Published in: IEEE Transactions on Computational Imaging, Issue 6, 2020, Page(s) 1471-1485, ISSN 2333-9403
DOI: 10.1109/tci.2020.3032101

Recipes for Stable Linear Embeddings From Hilbert Spaces to $ {\mathbb {R}}^{m}$

Author(s): Gilles Puy, Mike E. Davies, Remi Gribonval
Published in: IEEE Transactions on Information Theory, Issue 63/4, 2017, Page(s) 2171-2187, ISSN 0018-9448
DOI: 10.1109/TIT.2017.2664858

Polyquant CT: direct electron and mass density reconstruction from a single polyenergetic source

Author(s): Jonathan H Mason, Alessandro Perelli, William H Nailon, Mike E Davies
Published in: Physics in Medicine and Biology, 2017, ISSN 0031-9155
DOI: 10.1088/1361-6560/aa9162

Inexact Gradient Projection and Fast Data Driven Compressed Sensing

Author(s): Mohammad Golbabaee, Mike E. Davies
Published in: IEEE Transactions on Information Theory, Issue 64/10, 2018, Page(s) 6707-6721, ISSN 0018-9448
DOI: 10.1109/tit.2018.2841379

Quantitative cone-beam CT reconstruction with polyenergetic scatter model fusion

Author(s): Jonathan H Mason, Alessandro Perelli, William H Nailon, Mike E Davies
Published in: Physics in Medicine & Biology, Issue 63/22, 2018, Page(s) 225001, ISSN 1361-6560
DOI: 10.1088/1361-6560/aae794

Performance Analysis of Approximate Message Passing for Distributed Compressed Sensing

Author(s): Gabor Hannak, Alessandro Perelli, Norbert Goertz, Gerald Matz, Mike E. Davies
Published in: IEEE Journal of Selected Topics in Signal Processing, Issue 12/5, 2018, Page(s) 857-870, ISSN 1932-4553
DOI: 10.1109/JSTSP.2018.2850754

Upscaling Vector Approximate Message Passing

Author(s): Nikolajs Skuratovs, Michael Davies
Published in: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020, Page(s) 4757-4761
DOI: 10.1109/icassp40776.2020.9053799

Compressive Independent Component Analysis

Author(s): Michael P. Sheehan, Madeleine S. Kotzagiannidis, Mike E. Davies
Published in: 2019 27th European Signal Processing Conference (EUSIPCO), 2019, Page(s) 1-5
DOI: 10.23919/eusipco.2019.8903095

Geometry of Deep Learning for Magnetic Resonance Fingerprinting

Author(s): Mohammad Golbabaee, Dongdong Chen, Pedro A. Gomez, Marion I. Menzel, Mike E. Davies
Published in: ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019, Page(s) 7825-7829
DOI: 10.1109/icassp.2019.8683549

A Deep Dual-path Network for Improved Mammogram Image Processing

Author(s): Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, Dave Laurenson
Published in: ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019, Page(s) 1224-1228
DOI: 10.1109/icassp.2019.8682496

Expectation-propagation Algorithms for Linear Regression with Poisson Noise: Application to Photon-limited Spectral Unmixing

Author(s): Yoann Altmann, Alessandro Perelli, Mike E. Davies
Published in: ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019, Page(s) 5067-5071
DOI: 10.1109/icassp.2019.8682479

Multi denoising approximate message passing for optimal recovery with lower computational cost

Author(s): Alessandro Perelli, Mike E. Davies
Published in: 2017 25th European Signal Processing Conference (EUSIPCO), 2017, Page(s) 2131-2135
DOI: 10.23919/EUSIPCO.2017.8081586

Exploiting the structure via sketched gradient algorithms

Author(s): Junqi Tang, Mohammad Golbabaee, Mike Davies
Published in: 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2017, Page(s) 1305-1309
DOI: 10.1109/GlobalSIP.2017.8309172

Cover tree compressed sensing for fast mr fingerprint recovery

Author(s): Mohammad Golbabaee, Zhouye Chen, Yves Wiaux, Mike E. Davies
Published in: 2017 IEEE 27th International Workshop on Machine Learning for Signal Processing (MLSP), 2017, Page(s) 1-6
DOI: 10.1109/MLSP.2017.8168167

Gradient Projection Iterative Sketch for Large-Scale Constrained Least-Squares

Author(s): Junqi Tang, Mohammad Golbabaee, Mike E. Davies
Published in: roceedings of the 34th International Conference on Machine Learning, 2017., Issue PMLR 70:3377-3386,, 2017, Page(s) 3377-3386

Quantitative electron density CT imaging for radiotherapy planning

Author(s): Jonathan H. Mason, Alessandro Perelli, William H. Nailon, Mike E. Davies
Published in: Medical Image Understanding and Analysis - 21st Annual Conference, MIUA 2017, Proceedings, 2017, Page(s) 297-308
DOI: 10.1007/978-3-319-60964-5_26

Can Planning Images Reduce Scatter in Follow-Up Cone-Beam CT?

Rest-Katyusha: Exploiting the Solution's Structure via Scheduled Restart Schemes

Author(s): Tang, Junqi; Golbabaee, Mohammad; Bach, Francis; Davies, Mike
Published in: Advances in Neural Information Processing Systems 31, Issue 31, 2018

Learning Discriminative Representation with Signed Laplacian Restricted Boltzmann Machine

Author(s): Chen, Dongdong; Lv, Jiancheng; Davies, Mike E.
Published in: Issue 2, 2018

The Limitation and Practical Acceleration of Stochastic Gradient Algorithms in Inverse Problems

Author(s): Junqi Tang, Karen Egiazarian, Mike Davies
Published in: ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019, Page(s) 7680-7684
DOI: 10.1109/icassp.2019.8683368

Compressive MR Fingerprinting Reconstruction with Neural Proximal Gradient Iterations

Author(s): Dongdong Chen, Mike E. Davies, Mohammad Golbabaee
Published in: Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part II, Issue 12262, 2020, Page(s) 13-22
DOI: 10.1007/978-3-030-59713-9_2

Compressed Sensing in Hilbert Spaces

Author(s): Yann Traonmilin, Gilles Puy, Rémi Gribonval, Mike E. Davies
Published in: Compressed Sensing and its Applications, 2017, Page(s) 359-384
DOI: 10.1007/978-3-319-69802-1_12

Deep Decomposition Learning for Inverse Imaging Problems

Author(s): Dongdong Chen, Mike E. Davies
Published in: Computer Vision – ECCV 2020 - 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XXVIII, Issue 12373, 2020, Page(s) 510-526
DOI: 10.1007/978-3-030-58604-1_31

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