Publications Peer reviewed articles (22) Expectation-propagation for weak radionuclide identification at radiation portal monitors Auteurs: Yoann Altmann, Angela Di Fulvio, Marc G. Paff, Shaun D. Clarke, Mike E. Davies, Stephen McLaughlin, Alfred O. Hero & Sara A. Pozzi Publié dans: Scientific Reports, Numéro 10,, 2020, Page(s) 6811, ISSN 2045-2322 Éditeur: Nature Publishing Group DOI: 10.1038/s41598-020-62947-3 Fast Online 3D Reconstruction of Dynamic Scenes From Individual Single-Photon Detection Events Auteurs: Yoann Altmann, Stephen McLaughlin, Michael E. Davies Publié dans: IEEE Transactions on Image Processing, Numéro 29, 2020, Page(s) 2666-2675, ISSN 1057-7149 Éditeur: Institute of Electrical and Electronics Engineers DOI: 10.1109/tip.2019.2952008 Compressed Sensing With Upscaled Vector Approximate Message Passing Auteurs: Nikolajs Skuratovs; Michael E. Davies Publié dans: IEEE Transactions on Information Theory, Numéro 00189448, 2022, Page(s) 4818-4836, ISSN 0018-9448 Éditeur: Institute of Electrical and Electronics Engineers DOI: 10.1109/tit.2022.3157665 Compressive independent component analysis: theory and algorithms Auteurs: Michael P Sheehan; Mike E Davies Publié dans: Information and Inference: A Journal of the IMA, Numéro 20498772, 2022, ISSN 2049-8772 Éditeur: Institute of Mathematics and its Applications DOI: 10.1093/imaiai/iaac016 CoverBLIP: accelerated and scalable iterative matched-filtering for magnetic resonance fingerprint reconstruction Auteurs: Mohammad Golbabaee, Zhouye Chen, Yves Wiaux, Mike Davies Publié dans: Inverse Problems, Numéro 36/1, 2020, Page(s) 015003, ISSN 0266-5611 Éditeur: Institute of Physics Publishing DOI: 10.1088/1361-6420/ab4c9a Compressive Computed Tomography Reconstruction through Denoising Approximate Message Passing Auteurs: Alessandro Perelli; Michael A. Lexa; Ali Can; Michael Davies Publié dans: SIAM Journal on Imaging Sciences, Numéro 19364954, 2020, ISSN 1936-4954 Éditeur: 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 Auteurs: Thomas Feuillen; Michael Davies; Luc Vandendorpe; Laurent Jacques Publié dans: IEEE Signal Processing Letters, Numéro 10709908, 2020, Page(s) 396 - 400, ISSN 1070-9908 Éditeur: 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 Auteurs: Quentin Legros, Julian Tachella, Rachael Tobin, Aongus Mccarthy, Sylvain Meignen, Gerald S. Buller, Yoann Altmann, Stephen Mclaughlin, Michael E. Davies Publié dans: IEEE Transactions on Image Processing, Numéro 30, 2021, Page(s) 1716-1727, ISSN 1057-7149 Éditeur: 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 Auteurs: Kotzagiannidis, Madeleine S.; Davies, Mike E. Publié dans: Applied and Computational Harmonic Analysis, Numéro 10635203, 2022, ISSN 1063-5203 Éditeur: Academic Press DOI: 10.48550/arxiv.1811.04493 Dual Convolutional Neural Networks for Breast Mass Segmentation and Diagnosis in Mammography Auteurs: Heyi Li; Dongdong Chen; William H. Nailon; Michael Davies; David Laurenson Publié dans: IEEE Transactions on Medical Imaging, Numéro 02780062, 2021, ISSN 0278-0062 Éditeur: Institute of Electrical and Electronics Engineers DOI: 10.48550/arxiv.2008.02957 The Practicality of Stochastic Optimization in Imaging Inverse Problems Auteurs: Junqi Tang, Karen Egiazarian, Mohammad Golbabaee, Mike Davies Publié dans: IEEE Transactions on Computational Imaging, Numéro 6, 2020, Page(s) 1471-1485, ISSN 2333-9403 Éditeur: IEEE DOI: 10.1109/tci.2020.3032101 Recipes for Stable Linear Embeddings From Hilbert Spaces to $ {\mathbb {R}}^{m}$ Auteurs: Gilles Puy, Mike E. Davies, Remi Gribonval Publié dans: IEEE Transactions on Information Theory, Numéro 63/4, 2017, Page(s) 2171-2187, ISSN 0018-9448 Éditeur: 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 Auteurs: Jonathan H Mason, Alessandro Perelli, William H Nailon, Mike E Davies Publié dans: Physics in Medicine and Biology, 2017, ISSN 0031-9155 Éditeur: Institute of Physics Publishing DOI: 10.1088/1361-6560/aa9162 Inexact Gradient Projection and Fast Data Driven Compressed Sensing Auteurs: Mohammad Golbabaee, Mike E. Davies Publié dans: IEEE Transactions on Information Theory, Numéro 64/10, 2018, Page(s) 6707-6721, ISSN 0018-9448 Éditeur: Institute of Electrical and Electronics Engineers DOI: 10.1109/tit.2018.2841379 Quantitative cone-beam CT reconstruction with polyenergetic scatter model fusion Auteurs: Jonathan H Mason, Alessandro Perelli, William H Nailon, Mike E Davies Publié dans: Physics in Medicine & Biology, Numéro 63/22, 2018, Page(s) 225001, ISSN 1361-6560 Éditeur: IOP Science DOI: 10.1088/1361-6560/aae794 Performance Analysis of Approximate Message Passing for Distributed Compressed Sensing Auteurs: Gabor Hannak, Alessandro Perelli, Norbert Goertz, Gerald Matz, Mike E. Davies Publié dans: IEEE Journal of Selected Topics in Signal Processing, Numéro 12/5, 2018, Page(s) 857-870, ISSN 1932-4553 Éditeur: Institute of Electrical and Electronics Engineers DOI: 10.1109/JSTSP.2018.2850754 A Stochastic Proximal Alternating Minimization for Nonsmooth and Nonconvex Optimization Auteurs: Derek Driggs; Junqi Tang; Jingwei Liang; Mike Davies; Carola-Bibiane Schönlieb Publié dans: SIAM Journal on Imaging Sciences, 2021, ISSN 1936-4954 Éditeur: Society for Industrial and Applied Mathematics DOI: 10.1137/20m1387213 Imaging with Equivariant Deep Learning Auteurs: Dongdong Chen, Mike Davies, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb, Ferdia Sherry, Julián Tachella Publié dans: IEEE Signal Processing Magazine, Numéro 10535888, 2023, ISSN 1053-5888 Éditeur: Institute of Electrical and Electronics Engineers DOI: 10.1109/msp.2022.3205430 Blur resolved OCT: full-range interferometric synthetic aperture microscopy through dispersion encoding Auteurs: Jonathan H. Mason; Michael Davies; Pierre Bagnaninchi Publié dans: Optics Express, Numéro 10944087, 2020, ISSN 1094-4087 Éditeur: Optical Society of America DOI: 10.48550/arxiv.1905.06058 Surface Detection for Sketched Single Photon Lidar Auteurs: Sheehan, Michael P.; Tachella, Juli��n; Davies, Mike E. Publié dans: 29th European Signal Processing Conference (EUSIPCO), Numéro 20761465, 2021, ISSN 2076-1465 Éditeur: IEEE DOI: 10.23919/eusipco54536.2021.9616208 A Sketching Framework for Reduced Data Transfer in Photon Counting Lidar Auteurs: Michael P. Sheehan; Julián Tachella; Michael Davies Publié dans: IEEE Transactions on Computational Imaging, Numéro 25730436, 2021, ISSN 2573-0436 Éditeur: IEEE DOI: 10.1109/tci.2021.3113495 Staggered Coprime Pulse Repetition Frequencies Synthetic Aperture Radar (SCopSAR) Auteurs: Abdulmalik Aldharrab; Mike E. Davies Publié dans: IEEE Transactions on Geoscience and Remote Sensing, Numéro 01962892, 2021, ISSN 0196-2892 Éditeur: Institute of Electrical and Electronics Engineers DOI: 10.1109/tgrs.2021.3087518 Conference proceedings (23) Upscaling Vector Approximate Message Passing Auteurs: Nikolajs Skuratovs, Michael Davies Publié dans: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020, Page(s) 4757-4761, ISBN 978-1-5090-6631-5 Éditeur: IEEE DOI: 10.1109/icassp40776.2020.9053799 Compressive Independent Component Analysis Auteurs: Michael P. Sheehan, Madeleine S. Kotzagiannidis, Mike E. Davies Publié dans: 2019 27th European Signal Processing Conference (EUSIPCO), 2019, Page(s) 1-5, ISBN 978-9-0827-9703-9 Éditeur: IEEE DOI: 10.23919/eusipco.2019.8903095 Geometry of Deep Learning for Magnetic Resonance Fingerprinting Auteurs: Mohammad Golbabaee, Dongdong Chen, Pedro A. Gomez, Marion I. Menzel, Mike E. Davies Publié dans: ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019, Page(s) 7825-7829, ISBN 978-1-4799-8131-1 Éditeur: IEEE DOI: 10.1109/icassp.2019.8683549 A Deep Dual-path Network for Improved Mammogram Image Processing Auteurs: Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, Dave Laurenson Publié dans: ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019, Page(s) 1224-1228, ISBN 978-1-4799-8131-1 Éditeur: IEEE DOI: 10.1109/icassp.2019.8682496 Warm-Starting in Message Passing algorithms Auteurs: Nikolajs Skuratovs; Mike E. Davies Publié dans: IEEE International Symposium on Information Theory (ISIT), 2022, Page(s) 1187-1192, ISBN 978-1-6654-2159-1 Éditeur: IEEE DOI: 10.1109/isit50566.2022.9834336 Sketched RT3D: How to reconstruct billions of photons per second Auteurs: Julián Tachella, Michael P Sheehan, Mike E Davies Publié dans: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022, ISBN 978-1-6654-0540-9 Éditeur: IEEE DOI: 10.1109/icassp43922.2022.9746304 Expectation-propagation Algorithms for Linear Regression with Poisson Noise: Application to Photon-limited Spectral Unmixing Auteurs: Yoann Altmann, Alessandro Perelli, Mike E. Davies Publié dans: ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019, Page(s) 5067-5071, ISBN 978-1-4799-8131-1 Éditeur: IEEE DOI: 10.1109/icassp.2019.8682479 Unsupervised Learning From Incomplete Measurements for Inverse Problems Auteurs: Julián Tachella, Dongdong Chen, Mike Davies Publié dans: Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS 2022), 2022 Éditeur: ArXiv Robust Equivariant Imaging: a fully unsupervised framework for learning to image from noisy and partial measurements Auteurs: Dongdong Chen; Julián Tachella; Mike E. Davies Publié dans: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, ISBN 978-1-6654-6947-0 Éditeur: IEEE DOI: 10.1109/cvpr52688.2022.00556 ANALYSIS VS SYNTHESIS - AN INVESTIGATION OF (CO)SPARSE SIGNAL MODELS ON GRAPHS Auteurs: Madeleine S. Kotzagiannidis; Michael Davies Publié dans: IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2018, ISBN 978-1-7281-1296-1 Éditeur: IEEE DOI: 10.48550/arxiv.1811.04460 Deep Unrolling for Magnetic Resonance Fingerprinting Auteurs: Dongdong Chen; Mike E. Davies; Mohammad Golbabaee Publié dans: IEEE 19th International Symposium on Biomedical Imaging (ISBI), 2022, ISBN 978-1-6654-2923-8 Éditeur: IEEE DOI: 10.1109/isbi52829.2022.9761475 Equivariant Imaging: Learning Beyond the Range Space Auteurs: Chen, Dongdong; Tachella, Juli��n; Davies, Mike E. Publié dans: IEEE/CVF International Conference on Computer Vision (ICCV), Numéro 66542812, 2021, ISSN 6654-2812 Éditeur: IEEE DOI: 10.1109/iccv48922.2021.00434 Multi denoising approximate message passing for optimal recovery with lower computational cost Auteurs: Alessandro Perelli, Mike E. Davies Publié dans: 2017 25th European Signal Processing Conference (EUSIPCO), 2017, Page(s) 2131-2135, ISBN 978-0-9928626-7-1 Éditeur: IEEE DOI: 10.23919/EUSIPCO.2017.8081586 Exploiting the structure via sketched gradient algorithms Auteurs: Junqi Tang, Mohammad Golbabaee, Mike Davies Publié dans: 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2017, Page(s) 1305-1309, ISBN 978-1-5090-5990-4 Éditeur: IEEE DOI: 10.1109/GlobalSIP.2017.8309172 Cover tree compressed sensing for fast mr fingerprint recovery Auteurs: Mohammad Golbabaee, Zhouye Chen, Yves Wiaux, Mike E. Davies Publié dans: 2017 IEEE 27th International Workshop on Machine Learning for Signal Processing (MLSP), 2017, Page(s) 1-6, ISBN 978-1-5090-6341-3 Éditeur: IEEE DOI: 10.1109/MLSP.2017.8168167 Gradient Projection Iterative Sketch for Large-Scale Constrained Least-Squares Auteurs: Junqi Tang, Mohammad Golbabaee, Mike E. Davies Publié dans: roceedings of the 34th International Conference on Machine Learning, 2017., Numéro PMLR 70:3377-3386,, 2017, Page(s) 3377-3386 Éditeur: PMLR Quantitative electron density CT imaging for radiotherapy planning Auteurs: Jonathan H. Mason, Alessandro Perelli, William H. Nailon, Mike E. Davies Publié dans: Medical Image Understanding and Analysis - 21st Annual Conference, MIUA 2017, Proceedings, 2017, Page(s) 297-308 Éditeur: Springer International Publishing DOI: 10.1007/978-3-319-60964-5_26 Can Planning Images Reduce Scatter in Follow-Up Cone-Beam CT? Auteurs: Jonathan H. Mason, Alessandro Perelli, William H. Nailon, Mike E. Davies Publié dans: Medical Image Understanding and Analysis - 21st Annual Conference, MIUA 2017, Proceedings, 2017, Page(s) 629-640 Éditeur: Springer International Publishing DOI: 10.1007/978-3-319-60964-5_55 Rest-Katyusha: Exploiting the Solution's Structure via Scheduled Restart Schemes Auteurs: Tang, Junqi; Golbabaee, Mohammad; Bach, Francis; Davies, Mike Publié dans: Advances in Neural Information Processing Systems 31, Numéro 31, 2018 Éditeur: Neural Information Processing Systems Foundation Learning Discriminative Representation with Signed Laplacian Restricted Boltzmann Machine Auteurs: Chen, Dongdong; Lv, Jiancheng; Davies, Mike E. Publié dans: Numéro 2, 2018 Éditeur: https://arxiv.org/html/1812.00648 The Limitation and Practical Acceleration of Stochastic Gradient Algorithms in Inverse Problems Auteurs: Junqi Tang, Karen Egiazarian, Mike Davies Publié dans: ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019, Page(s) 7680-7684, ISBN 978-1-4799-8131-1 Éditeur: IEEE DOI: 10.1109/icassp.2019.8683368 Exploiting the structure via sketched gradient algorithms Auteurs: Junqi Tang; Mohammad Golbabaee; Michael Davies Publié dans: IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2017, ISBN 978-1-5090-5990-4 Éditeur: IEEE DOI: 10.48550/arxiv.1705.05348 Rest-Katyusha: Exploiting the Solution's Structure via Scheduled Restart Schemes Auteurs: Tang, Junqi; Golbabaee, Mohammad; Bach, Francis; Davies, Mike Publié dans: Advances in Neural Information Processing Systems 31 (NeurIPS 2018), 2018 Éditeur: Curran Associates, Inc. DOI: 10.48550/arxiv.1803.02246 Other (2) Divergence Estimation in Message Passing algorithms Auteurs: Nikolajs Skuratovs, Michael Davies Publié dans: 2022 Éditeur: ArXiv DOI: 10.48550/arxiv.2105.07086 Sensing Theorems for Unsupervised Learning in Linear Inverse Problems Auteurs: Julián Tachella, Dongdong Chen, Mike Davies Publié dans: 2022 Éditeur: ArXiv DOI: 10.48550/arxiv.2203.12513 Book chapters (3) Compressive MR Fingerprinting Reconstruction with Neural Proximal Gradient Iterations Auteurs: Dongdong Chen, Mike E. Davies, Mohammad Golbabaee Publié dans: Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part II, Numéro 12262, 2020, Page(s) 13-22, ISBN 978-3-030-59712-2 Éditeur: Springer International Publishing DOI: 10.1007/978-3-030-59713-9_2 Compressed Sensing in Hilbert Spaces Auteurs: Yann Traonmilin, Gilles Puy, Rémi Gribonval, Mike E. Davies Publié dans: Compressed Sensing and its Applications, 2017, Page(s) 359-384, ISBN 978-3-319-69801-4 Éditeur: Springer International Publishing DOI: 10.1007/978-3-319-69802-1_12 Deep Decomposition Learning for Inverse Imaging Problems Auteurs: Dongdong Chen, Mike E. Davies Publié dans: Computer Vision – ECCV 2020 - 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XXVIII, Numéro 12373, 2020, Page(s) 510-526, ISBN 978-3-030-58603-4 Éditeur: Springer International Publishing DOI: 10.1007/978-3-030-58604-1_31 Droits de propriété intellectuelle Patent (1) SENSOR DEVICE FOR IMAGING Numéro de demande/publication: 20 22050263 Date: 2022-02-01 Recherche de données OpenAIRE... Une erreur s’est produite lors de la recherche de données OpenAIRE Aucun résultat disponible