Exploiting low dimensional models in sensing, computation and signal processing

Project Information

C-SENSE

Grant agreement ID: 694888

DOI

10.3030/694888

Project closed

EC signature date 27 June 2016

Start date 1 September 2016

End date 31 August 2022

Funded under

• EXCELLENT SCIENCE - European Research Council (ERC)

Total cost

€ 2 212 048,00

EU contribution

€ 2 212 048,00

Coordinated by

THE UNIVERSITY OF EDINBURGH
United Kingdom

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Peer reviewed articles (22)

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
Publisher: Nature Publishing Group
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
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tip.2019.2952008

Compressed Sensing With Upscaled Vector Approximate Message Passing

Author(s): Nikolajs Skuratovs; Michael E. Davies
Published in: IEEE Transactions on Information Theory, Issue 00189448, 2022, Page(s) 4818-4836, ISSN 0018-9448
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tit.2022.3157665

Compressive independent component analysis: theory and algorithms

Author(s): Michael P Sheehan; Mike E Davies
Published in: Information and Inference: A Journal of the IMA, Issue 20498772, 2022, ISSN 2049-8772
Publisher: Institute of Mathematics and its Applications
DOI: 10.1093/imaiai/iaac016

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
Publisher: Institute of Physics Publishing
DOI: 10.1088/1361-6420/ab4c9a

Compressive Computed Tomography Reconstruction through Denoising Approximate Message Passing

Author(s): Alessandro Perelli; Michael A. Lexa; Ali Can; Michael Davies
Published in: SIAM Journal on Imaging Sciences, Issue 19364954, 2020, ISSN 1936-4954
Publisher: Society for Industrial and Applied Mathematics
DOI: 10.48550/arxiv.1609.04661

( $\ell _1,\ell _2$ )-RIP and Projected Back-Projection Reconstruction for Phase-Only Measurements

Author(s): Thomas Feuillen; Michael Davies; Luc Vandendorpe; Laurent Jacques
Published in: IEEE Signal Processing Letters, 2020, Page(s) 396 - 400, ISSN 1070-9908
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/lsp.2020.2973506

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
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tip.2020.3046882

Analysis vs Synthesis with Structure - An Investigation of Union of Subspace Models on Graphs

Author(s): Kotzagiannidis, Madeleine S.; Davies, Mike E.
Published in: Applied and Computational Harmonic Analysis, Issue 10635203, 2022, ISSN 1063-5203
Publisher: Academic Press
DOI: 10.48550/arxiv.1811.04493

Dual Convolutional Neural Networks for Breast Mass Segmentation and Diagnosis in Mammography

Author(s): Heyi Li; Dongdong Chen; William H. Nailon; Michael Davies; David Laurenson
Published in: IEEE Transactions on Medical Imaging, Issue 02780062, 2021, ISSN 0278-0062
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.48550/arxiv.2008.02957

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
Publisher: IEEE
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
Publisher: Institute of Electrical and Electronics Engineers
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
Publisher: Institute of Physics Publishing
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
Publisher: Institute of Electrical and Electronics Engineers
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
Publisher: IOP Science
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
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/JSTSP.2018.2850754

A Stochastic Proximal Alternating Minimization for Nonsmooth and Nonconvex Optimization

Author(s): Derek Driggs; Junqi Tang; Jingwei Liang; Mike Davies; Carola-Bibiane Schönlieb
Published in: SIAM Journal on Imaging Sciences, 2021, ISSN 1936-4954
Publisher: Society for Industrial and Applied Mathematics
DOI: 10.1137/20m1387213

Imaging with Equivariant Deep Learning

Author(s): Dongdong Chen, Mike Davies, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb, Ferdia Sherry, Julián Tachella
Published in: IEEE Signal Processing Magazine, 2023, ISSN 1053-5888
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/msp.2022.3205430

Blur resolved OCT: full-range interferometric synthetic aperture microscopy through dispersion encoding

Author(s): Jonathan H. Mason; Michael Davies; Pierre Bagnaninchi
Published in: Optics Express, Issue 10944087, 2020, ISSN 1094-4087
Publisher: Optical Society of America
DOI: 10.48550/arxiv.1905.06058

Surface Detection for Sketched Single Photon Lidar

Author(s): Sheehan, Michael P.; Tachella, Juli��n; Davies, Mike E.
Published in: 29th European Signal Processing Conference (EUSIPCO), 2021, ISSN 2076-1465
Publisher: IEEE
DOI: 10.23919/eusipco54536.2021.9616208

A Sketching Framework for Reduced Data Transfer in Photon Counting Lidar

Author(s): Michael P. Sheehan; Julián Tachella; Michael Davies
Published in: IEEE Transactions on Computational Imaging, 2021, ISSN 2573-0436
Publisher: IEEE
DOI: 10.1109/tci.2021.3113495

Staggered Coprime Pulse Repetition Frequencies Synthetic Aperture Radar (SCopSAR)

Author(s): Abdulmalik Aldharrab; Mike E. Davies
Published in: IEEE Transactions on Geoscience and Remote Sensing, Issue 01962892, 2021, ISSN 0196-2892
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tgrs.2021.3087518

Conference proceedings (23)

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, ISBN 978-1-5090-6631-5
Publisher: IEEE
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, ISBN 978-9-0827-9703-9
Publisher: IEEE
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, ISBN 978-1-4799-8131-1
Publisher: IEEE
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, ISBN 978-1-4799-8131-1
Publisher: IEEE
DOI: 10.1109/icassp.2019.8682496

Warm-Starting in Message Passing algorithms

Author(s): Nikolajs Skuratovs; Mike E. Davies
Published in: IEEE International Symposium on Information Theory (ISIT), 2022, Page(s) 1187-1192, ISBN 978-1-6654-2159-1
Publisher: IEEE
DOI: 10.1109/isit50566.2022.9834336

Sketched RT3D: How to reconstruct billions of photons per second

Author(s): Julián Tachella, Michael P Sheehan, Mike E Davies
Published in: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022, ISBN 978-1-6654-0540-9
Publisher: IEEE
DOI: 10.1109/icassp43922.2022.9746304

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, ISBN 978-1-4799-8131-1
Publisher: IEEE
DOI: 10.1109/icassp.2019.8682479

Unsupervised Learning From Incomplete Measurements for Inverse Problems

Author(s): Julián Tachella, Dongdong Chen, Mike Davies
Published in: Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS 2022), 2022
Publisher: ArXiv

Robust Equivariant Imaging: a fully unsupervised framework for learning to image from noisy and partial measurements

Author(s): Dongdong Chen; Julián Tachella; Mike E. Davies
Published in: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, ISBN 978-1-6654-6947-0
Publisher: IEEE
DOI: 10.1109/cvpr52688.2022.00556

ANALYSIS VS SYNTHESIS - AN INVESTIGATION OF (CO)SPARSE SIGNAL MODELS ON GRAPHS

Author(s): Madeleine S. Kotzagiannidis; Michael Davies
Published in: IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2018, ISBN 978-1-7281-1296-1
Publisher: IEEE
DOI: 10.48550/arxiv.1811.04460

Deep Unrolling for Magnetic Resonance Fingerprinting

Author(s): Dongdong Chen; Mike E. Davies; Mohammad Golbabaee
Published in: IEEE 19th International Symposium on Biomedical Imaging (ISBI), 2022, ISBN 978-1-6654-2923-8
Publisher: IEEE
DOI: 10.1109/isbi52829.2022.9761475

Equivariant Imaging: Learning Beyond the Range Space

Author(s): Chen, Dongdong; Tachella, Juli��n; Davies, Mike E.
Published in: IEEE/CVF International Conference on Computer Vision (ICCV), 2021, ISSN 6654-2812
Publisher: IEEE
DOI: 10.1109/iccv48922.2021.00434

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, ISBN 978-0-9928626-7-1
Publisher: IEEE
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, ISBN 978-1-5090-5990-4
Publisher: IEEE
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, ISBN 978-1-5090-6341-3
Publisher: IEEE
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
Publisher: PMLR

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
Publisher: Springer International Publishing
DOI: 10.1007/978-3-319-60964-5_26

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

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) 629-640
Publisher: Springer International Publishing
DOI: 10.1007/978-3-319-60964-5_55

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
Publisher: Neural Information Processing Systems Foundation

Learning Discriminative Representation with Signed Laplacian Restricted Boltzmann Machine

Author(s): Chen, Dongdong; Lv, Jiancheng; Davies, Mike E.
Published in: Issue 2, 2018
Publisher: https://arxiv.org/html/1812.00648

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, ISBN 978-1-4799-8131-1
Publisher: IEEE
DOI: 10.1109/icassp.2019.8683368

Exploiting the structure via sketched gradient algorithms

Author(s): Junqi Tang; Mohammad Golbabaee; Michael Davies
Published in: IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2017, ISBN 978-1-5090-5990-4
Publisher: IEEE
DOI: 10.48550/arxiv.1705.05348

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 (NeurIPS 2018), 2018
Publisher: Curran Associates, Inc.
DOI: 10.48550/arxiv.1803.02246

Other (2)

Divergence Estimation in Message Passing algorithms

Author(s): Nikolajs Skuratovs, Michael Davies
Published in: 2022
Publisher: ArXiv
DOI: 10.48550/arxiv.2105.07086

Sensing Theorems for Unsupervised Learning in Linear Inverse Problems

Author(s): Julián Tachella, Dongdong Chen, Mike Davies
Published in: 2022
Publisher: ArXiv
DOI: 10.48550/arxiv.2203.12513

Book chapters (3)

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, ISBN 978-3-030-59712-2
Publisher: Springer International Publishing
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, ISBN 978-3-319-69801-4
Publisher: Springer International Publishing
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, ISBN 978-3-030-58603-4
Publisher: Springer International Publishing
DOI: 10.1007/978-3-030-58604-1_31

Intellectual Property Rights

Patent (1)

SENSOR DEVICE FOR IMAGING

Application/Publication number: 20 22050263
Date: 2022-02-01
Applicant(s): THE UNIVERSITY OF EDINBURGH