Exploiting low dimensional models in sensing, computation and signal processing

Expectation-propagation for weak radionuclide identification at radiation portal monitors

Autori: Yoann Altmann, Angela Di Fulvio, Marc G. Paff, Shaun D. Clarke, Mike E. Davies, Stephen McLaughlin, Alfred O. Hero & Sara A. Pozzi
Pubblicato in: Scientific Reports, Numero 10,, 2020, Pagina/e 6811, ISSN 2045-2322
Editore: Nature Publishing Group
DOI: 10.1038/s41598-020-62947-3

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

Autori: Yoann Altmann, Stephen McLaughlin, Michael E. Davies
Pubblicato in: IEEE Transactions on Image Processing, Numero 29, 2020, Pagina/e 2666-2675, ISSN 1057-7149
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tip.2019.2952008

Compressed Sensing With Upscaled Vector Approximate Message Passing

Autori: Nikolajs Skuratovs; Michael E. Davies
Pubblicato in: IEEE Transactions on Information Theory, Numero 00189448, 2022, Pagina/e 4818-4836, ISSN 0018-9448
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tit.2022.3157665

Compressive independent component analysis: theory and algorithms

Autori: Michael P Sheehan; Mike E Davies
Pubblicato in: Information and Inference: A Journal of the IMA, Numero 20498772, 2022, ISSN 2049-8772
Editore: Institute of Mathematics and its Applications
DOI: 10.1093/imaiai/iaac016

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

Autori: Mohammad Golbabaee, Zhouye Chen, Yves Wiaux, Mike Davies
Pubblicato in: Inverse Problems, Numero 36/1, 2020, Pagina/e 015003, ISSN 0266-5611
Editore: Institute of Physics Publishing
DOI: 10.1088/1361-6420/ab4c9a

Compressive Computed Tomography Reconstruction through Denoising Approximate Message Passing

Autori: Alessandro Perelli; Michael A. Lexa; Ali Can; Michael Davies
Pubblicato in: SIAM Journal on Imaging Sciences, Numero 19364954, 2020, ISSN 1936-4954
Editore: 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

Autori: Thomas Feuillen; Michael Davies; Luc Vandendorpe; Laurent Jacques
Pubblicato in: IEEE Signal Processing Letters, Numero 10709908, 2020, Pagina/e 396 - 400, ISSN 1070-9908
Editore: 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

Autori: Quentin Legros, Julian Tachella, Rachael Tobin, Aongus Mccarthy, Sylvain Meignen, Gerald S. Buller, Yoann Altmann, Stephen Mclaughlin, Michael E. Davies
Pubblicato in: IEEE Transactions on Image Processing, Numero 30, 2021, Pagina/e 1716-1727, ISSN 1057-7149
Editore: 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

Autori: Kotzagiannidis, Madeleine S.; Davies, Mike E.
Pubblicato in: Applied and Computational Harmonic Analysis, Numero 10635203, 2022, ISSN 1063-5203
Editore: Academic Press
DOI: 10.48550/arxiv.1811.04493

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

Autori: Heyi Li; Dongdong Chen; William H. Nailon; Michael Davies; David Laurenson
Pubblicato in: IEEE Transactions on Medical Imaging, Numero 02780062, 2021, ISSN 0278-0062
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.48550/arxiv.2008.02957

The Practicality of Stochastic Optimization in Imaging Inverse Problems

Autori: Junqi Tang, Karen Egiazarian, Mohammad Golbabaee, Mike Davies
Pubblicato in: IEEE Transactions on Computational Imaging, Numero 6, 2020, Pagina/e 1471-1485, ISSN 2333-9403
Editore: IEEE
DOI: 10.1109/tci.2020.3032101

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

Autori: Gilles Puy, Mike E. Davies, Remi Gribonval
Pubblicato in: IEEE Transactions on Information Theory, Numero 63/4, 2017, Pagina/e 2171-2187, ISSN 0018-9448
Editore: 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

Autori: Jonathan H Mason, Alessandro Perelli, William H Nailon, Mike E Davies
Pubblicato in: Physics in Medicine and Biology, 2017, ISSN 0031-9155
Editore: Institute of Physics Publishing
DOI: 10.1088/1361-6560/aa9162

Inexact Gradient Projection and Fast Data Driven Compressed Sensing

Autori: Mohammad Golbabaee, Mike E. Davies
Pubblicato in: IEEE Transactions on Information Theory, Numero 64/10, 2018, Pagina/e 6707-6721, ISSN 0018-9448
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tit.2018.2841379

Quantitative cone-beam CT reconstruction with polyenergetic scatter model fusion

Autori: Jonathan H Mason, Alessandro Perelli, William H Nailon, Mike E Davies
Pubblicato in: Physics in Medicine & Biology, Numero 63/22, 2018, Pagina/e 225001, ISSN 1361-6560
Editore: IOP Science
DOI: 10.1088/1361-6560/aae794

Performance Analysis of Approximate Message Passing for Distributed Compressed Sensing

Autori: Gabor Hannak, Alessandro Perelli, Norbert Goertz, Gerald Matz, Mike E. Davies
Pubblicato in: IEEE Journal of Selected Topics in Signal Processing, Numero 12/5, 2018, Pagina/e 857-870, ISSN 1932-4553
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/JSTSP.2018.2850754

A Stochastic Proximal Alternating Minimization for Nonsmooth and Nonconvex Optimization

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

Imaging with Equivariant Deep Learning

Autori: Dongdong Chen, Mike Davies, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb, Ferdia Sherry, Julián Tachella
Pubblicato in: IEEE Signal Processing Magazine, Numero 10535888, 2023, ISSN 1053-5888
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/msp.2022.3205430

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

Autori: Jonathan H. Mason; Michael Davies; Pierre Bagnaninchi
Pubblicato in: Optics Express, Numero 10944087, 2020, ISSN 1094-4087
Editore: Optical Society of America
DOI: 10.48550/arxiv.1905.06058

Surface Detection for Sketched Single Photon Lidar

Autori: Sheehan, Michael P.; Tachella, Juli��n; Davies, Mike E.
Pubblicato in: 29th European Signal Processing Conference (EUSIPCO), Numero 20761465, 2021, ISSN 2076-1465
Editore: IEEE
DOI: 10.23919/eusipco54536.2021.9616208

A Sketching Framework for Reduced Data Transfer in Photon Counting Lidar

Autori: Michael P. Sheehan; Julián Tachella; Michael Davies
Pubblicato in: IEEE Transactions on Computational Imaging, Numero 25730436, 2021, ISSN 2573-0436
Editore: IEEE
DOI: 10.1109/tci.2021.3113495

Staggered Coprime Pulse Repetition Frequencies Synthetic Aperture Radar (SCopSAR)

Autori: Abdulmalik Aldharrab; Mike E. Davies
Pubblicato in: IEEE Transactions on Geoscience and Remote Sensing, Numero 01962892, 2021, ISSN 0196-2892
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tgrs.2021.3087518

Upscaling Vector Approximate Message Passing

Autori: Nikolajs Skuratovs, Michael Davies
Pubblicato in: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020, Pagina/e 4757-4761, ISBN 978-1-5090-6631-5
Editore: IEEE
DOI: 10.1109/icassp40776.2020.9053799

Compressive Independent Component Analysis

Autori: Michael P. Sheehan, Madeleine S. Kotzagiannidis, Mike E. Davies
Pubblicato in: 2019 27th European Signal Processing Conference (EUSIPCO), 2019, Pagina/e 1-5, ISBN 978-9-0827-9703-9
Editore: IEEE
DOI: 10.23919/eusipco.2019.8903095

Geometry of Deep Learning for Magnetic Resonance Fingerprinting

Autori: Mohammad Golbabaee, Dongdong Chen, Pedro A. Gomez, Marion I. Menzel, Mike E. Davies
Pubblicato in: ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019, Pagina/e 7825-7829, ISBN 978-1-4799-8131-1
Editore: IEEE
DOI: 10.1109/icassp.2019.8683549

A Deep Dual-path Network for Improved Mammogram Image Processing

Autori: Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, Dave Laurenson
Pubblicato in: ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019, Pagina/e 1224-1228, ISBN 978-1-4799-8131-1
Editore: IEEE
DOI: 10.1109/icassp.2019.8682496

Warm-Starting in Message Passing algorithms

Autori: Nikolajs Skuratovs; Mike E. Davies
Pubblicato in: IEEE International Symposium on Information Theory (ISIT), 2022, Pagina/e 1187-1192, ISBN 978-1-6654-2159-1
Editore: IEEE
DOI: 10.1109/isit50566.2022.9834336

Sketched RT3D: How to reconstruct billions of photons per second

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

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

Autori: Yoann Altmann, Alessandro Perelli, Mike E. Davies
Pubblicato in: ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019, Pagina/e 5067-5071, ISBN 978-1-4799-8131-1
Editore: IEEE
DOI: 10.1109/icassp.2019.8682479

Unsupervised Learning From Incomplete Measurements for Inverse Problems

Autori: Julián Tachella, Dongdong Chen, Mike Davies
Pubblicato in: Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS 2022), 2022
Editore: ArXiv

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

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

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

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

Deep Unrolling for Magnetic Resonance Fingerprinting

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

Equivariant Imaging: Learning Beyond the Range Space

Autori: Chen, Dongdong; Tachella, Juli��n; Davies, Mike E.
Pubblicato in: IEEE/CVF International Conference on Computer Vision (ICCV), Numero 66542812, 2021, ISSN 6654-2812
Editore: IEEE
DOI: 10.1109/iccv48922.2021.00434

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

Autori: Alessandro Perelli, Mike E. Davies
Pubblicato in: 2017 25th European Signal Processing Conference (EUSIPCO), 2017, Pagina/e 2131-2135, ISBN 978-0-9928626-7-1
Editore: IEEE
DOI: 10.23919/EUSIPCO.2017.8081586

Exploiting the structure via sketched gradient algorithms

Autori: Junqi Tang, Mohammad Golbabaee, Mike Davies
Pubblicato in: 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2017, Pagina/e 1305-1309, ISBN 978-1-5090-5990-4
Editore: IEEE
DOI: 10.1109/GlobalSIP.2017.8309172

Cover tree compressed sensing for fast mr fingerprint recovery

Autori: Mohammad Golbabaee, Zhouye Chen, Yves Wiaux, Mike E. Davies
Pubblicato in: 2017 IEEE 27th International Workshop on Machine Learning for Signal Processing (MLSP), 2017, Pagina/e 1-6, ISBN 978-1-5090-6341-3
Editore: IEEE
DOI: 10.1109/MLSP.2017.8168167

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

Autori: Junqi Tang, Mohammad Golbabaee, Mike E. Davies
Pubblicato in: roceedings of the 34th International Conference on Machine Learning, 2017., Numero PMLR 70:3377-3386,, 2017, Pagina/e 3377-3386
Editore: PMLR

Quantitative electron density CT imaging for radiotherapy planning

Autori: Jonathan H. Mason, Alessandro Perelli, William H. Nailon, Mike E. Davies
Pubblicato in: Medical Image Understanding and Analysis - 21st Annual Conference, MIUA 2017, Proceedings, 2017, Pagina/e 297-308
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-60964-5_26

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

Autori: Jonathan H. Mason, Alessandro Perelli, William H. Nailon, Mike E. Davies
Pubblicato in: Medical Image Understanding and Analysis - 21st Annual Conference, MIUA 2017, Proceedings, 2017, Pagina/e 629-640
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-60964-5_55

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

Autori: Tang, Junqi; Golbabaee, Mohammad; Bach, Francis; Davies, Mike
Pubblicato in: Advances in Neural Information Processing Systems 31, Numero 31, 2018
Editore: Neural Information Processing Systems Foundation

Learning Discriminative Representation with Signed Laplacian Restricted Boltzmann Machine

Autori: Chen, Dongdong; Lv, Jiancheng; Davies, Mike E.
Pubblicato in: Numero 2, 2018
Editore: https://arxiv.org/html/1812.00648

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

Autori: Junqi Tang, Karen Egiazarian, Mike Davies
Pubblicato in: ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019, Pagina/e 7680-7684, ISBN 978-1-4799-8131-1
Editore: IEEE
DOI: 10.1109/icassp.2019.8683368

Exploiting the structure via sketched gradient algorithms

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

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

Autori: Tang, Junqi; Golbabaee, Mohammad; Bach, Francis; Davies, Mike
Pubblicato in: Advances in Neural Information Processing Systems 31 (NeurIPS 2018), 2018
Editore: Curran Associates, Inc.
DOI: 10.48550/arxiv.1803.02246

Divergence Estimation in Message Passing algorithms

Autori: Nikolajs Skuratovs, Michael Davies
Pubblicato in: 2022
Editore: ArXiv
DOI: 10.48550/arxiv.2105.07086

Sensing Theorems for Unsupervised Learning in Linear Inverse Problems

Autori: Julián Tachella, Dongdong Chen, Mike Davies
Pubblicato in: 2022
Editore: ArXiv
DOI: 10.48550/arxiv.2203.12513

Compressive MR Fingerprinting Reconstruction with Neural Proximal Gradient Iterations

Autori: Dongdong Chen, Mike E. Davies, Mohammad Golbabaee
Pubblicato in: Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part II, Numero 12262, 2020, Pagina/e 13-22, ISBN 978-3-030-59712-2
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-59713-9_2

Compressed Sensing in Hilbert Spaces

Autori: Yann Traonmilin, Gilles Puy, Rémi Gribonval, Mike E. Davies
Pubblicato in: Compressed Sensing and its Applications, 2017, Pagina/e 359-384, ISBN 978-3-319-69801-4
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-69802-1_12

Deep Decomposition Learning for Inverse Imaging Problems

Autori: Dongdong Chen, Mike E. Davies
Pubblicato in: Computer Vision – ECCV 2020 - 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XXVIII, Numero 12373, 2020, Pagina/e 510-526, ISBN 978-3-030-58603-4
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-58604-1_31

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