Publications Peer reviewed articles (21) 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, Issue 10709908, 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 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, Issue 10535888, 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), Issue 20761465, 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, Issue 25730436, 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), Issue 66542812, 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 Searching for OpenAIRE data... There was an error trying to search data from OpenAIRE No results available
