Mike E. Davies

ORCID

Publication Activity (10 Years)

Years Active: 2002-2022
Publications (10 Years): 82

Top Venues

CoRR

EUSIPCO

ICASSP

IEEE Trans. Inf. Theory

Publications

Julián Tachella, Michael P. Sheehan, Mike E. Davies
Sketched RT3D: How to reconstruct billions of photons per second. CoRR (2022)
Julián Tachella, Dongdong Chen, Mike E. Davies
Sampling Theorems for Learning from Incomplete Measurements. CoRR (2022)
Abdulmalik Aldharrab, Mike E. Davies
Staggered Coprime Pulse Repetition Frequencies Synthetic Aperture Radar (SCopSAR). IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, David I. Laurenson
Dual Convolutional Neural Networks for Breast Mass Segmentation and Diagnosis in Mammography. IEEE Trans. Medical Imaging 41 (1) (2022)
Michael P. Sheehan, Julián Tachella, Mike E. Davies
A Sketching Framework for Reduced Data Transfer in Photon Counting Lidar. IEEE Trans. Computational Imaging 7 (2021)
Julián Tachella, Junqi Tang, Mike E. Davies
The Neural Tangent Link Between CNN Denoisers and Non-Local Filters. CVPR (2021)
Dongdong Chen, Julián Tachella, Mike E. Davies
Equivariant Imaging: Learning Beyond the Range Space. CoRR (2021)
Mohammad Golbabaee, Guido Buonincontri, Carolin M. Pirkl, Marion I. Menzel, Bjoern H. Menze, Mike E. Davies, Pedro A. Gómez
Compressive MRI quantification using convex spatiotemporal priors and deep encoder-decoder networks. Medical Image Anal. 69 (2021)
Michael P. Sheehan, Mike E. Davies
Compressive Independent Component Analysis: Theory and Algorithms. CoRR (2021)
Ahmed Karam Eldaly, Ming Fang, Angela Di Fulvio, Stephen McLaughlin, Mike E. Davies, Yoann Altmann, Yves Wiaux
Bayesian Activity Estimation and Uncertainty Quantification of Spent Nuclear Fuel Using Passive Gamma Emission Tomography. J. Imaging 7 (10) (2021)
Dongdong Chen, Julián Tachella, Mike E. Davies
Robust Equivariant Imaging: a fully unsupervised framework for learning to image from noisy and partial measurements. CoRR (2021)
Michael P. Sheehan, Julián Tachella, Mike E. Davies
Surface Detection for Sketched Single Photon Lidar. EUSIPCO (2021)
Derek Driggs, Junqi Tang, Jingwei Liang, Mike E. Davies, Carola-Bibiane Schönlieb
A Stochastic Proximal Alternating Minimization for Nonsmooth and Nonconvex Optimization. SIAM J. Imaging Sci. 14 (4) (2021)
Konstantinos A. Voulgaris, Mike E. Davies, Mehrdad Yaghoobi
DeepMP for Non-Negative Sparse Decomposition. EUSIPCO (2020)
Dongdong Chen, Mike E. Davies, Mohammad Golbabaee
Compressive MR Fingerprinting reconstruction with Neural Proximal Gradient iterations. CoRR (2020)
Dongdong Chen, Mike E. Davies
Deep Decomposition Learning for Inverse Imaging Problems. ECCV (28) (2020)
Dongdong Chen, Mike E. Davies, Mohammad Golbabaee
Compressive MR Fingerprinting Reconstruction with Neural Proximal Gradient Iterations. MICCAI (2) (2020)
Mohammad Golbabaee, Guido Bounincontri, Carolin M. Pirkl, Marion I. Menzel, Bjoern H. Menze, Mike E. Davies, Pedro A. Gómez
Compressive MRI quantification using convex spatiotemporal priors and deep auto-encoders. CoRR (2020)
Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, David Laurenson
Dual Convolutional Neural Networks for Breast Mass Segmentation and Diagnosis in Mammography. CoRR (2020)
Junqi Tang, Karen O. Egiazarian, Mohammad Golbabaee, Mike E. Davies
The Practicality of Stochastic Optimization in Imaging Inverse Problems. IEEE Trans. Computational Imaging 6 (2020)
Junqi Tang, Mike E. Davies
A Fast Stochastic Plug-and-Play ADMM for Imaging Inverse Problems. CoRR (2020)
Dan Yao, Yoann Altmann, Steve McLaughlin, Mike E. Davies
Joint Robust Linear Regression and Anomaly Detection in Poisson noise using Expectation-Propagation. EUSIPCO (2020)
Julián Tachella, Junqi Tang, Mike E. Davies
CNN Denoisers as Non-Local Filters: The Neural Tangent Denoiser. CoRR (2020)
Thomas Feuillen, Mike E. Davies, Luc Vandendorpe, Laurent Jacques
($\ell _1, \ell _2$)-RIP and Projected Back-Projection Reconstruction for Phase-Only Measurements. IEEE Signal Process. Lett. 27 (2020)
Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, David Laurenson
COIN: Contrastive Identifier Network for Breast Mass Diagnosis in Mammography. CoRR (2020)
Alessandro Perelli, Michael A. Lexa, Ali Can, Mike E. Davies
Compressive Computed Tomography Reconstruction through Denoising Approximate Message Passing. SIAM J. Imaging Sci. 13 (4) (2020)
Konstantinos A. Voulgaris, Mike E. Davies, Mehrdad Yaghoobi
DeepMP for Non-Negative Sparse Decomposition. CoRR (2020)
Thomas Feuillen, Mike E. Davies, Luc Vandendorpe, Laurent Jacques
One Bit to Rule Them All : Binarizing the Reconstruction in 1-bit Compressive Sensing. CoRR (2020)
Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, Dave Laurenson
A Deep Dual-path Network for Improved Mammogram Image Processing. ICASSP (2019)
Junqi Tang, Karen O. Egiazarian, Mike E. Davies
The Limitation and Practical Acceleration of Stochastic Gradient Algorithms in Inverse Problems. ICASSP (2019)
Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, David I. Laurenson
Signed Laplacian Deep Learning with Adversarial Augmentation for Improved Mammography Diagnosis. MICCAI (6) (2019)
Michael P. Sheehan, Madeleine S. Kotzagiannidis, Mike E. Davies
Compressive Independent Component Analysis. EUSIPCO (2019)
Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, Dave Laurenson
A Deep DUAL-PATH Network for Improved Mammogram Image Processing. CoRR (2019)
Yoann Altmann, Alessandro Perelli, Mike E. Davies
Expectation-propagation Algorithms for Linear Regression with Poisson Noise: Application to Photon-limited Spectral Unmixing. ICASSP (2019)
Junqi Tang, Karen O. Egiazarian, Mohammad Golbabaee, Mike E. Davies
The Practicality of Stochastic Optimization in Imaging Inverse Problems. CoRR (2019)
Dongdong Chen, Mike E. Davies
Deep Decomposition Learning for Inverse Imaging Problems. CoRR (2019)
Mohammad Golbabaee, Dongdong Chen, Pedro A. Gómez, Marion I. Menzel, Mike E. Davies
Geometry of Deep Learning for Magnetic Resonance Fingerprinting. ICASSP (2019)
Di Wu, Mehrdad Yaghoobi, Mike E. Davies
Sparsity-Driven GMTI Processing Framework With Multichannel SAR. IEEE Trans. Geosci. Remote. Sens. 57 (3) (2019)
Thomas Feuillen, Mike E. Davies, Luc Vandendorpe, Laurent Jacques
(l1, l2)-RIP and Projected Back-Projection Reconstruction for Phase-Only Measurements. CoRR (2019)
Tatiana Shpakova, Francis R. Bach, Mike E. Davies
Hyper-parameter Learning for Sparse Structured Probabilistic Models. ICASSP (2019)
Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, David I. Laurenson
Signed Laplacian Deep Learning with Adversarial Augmentation for Improved Mammography Diagnosis. CoRR (2019)
Konstantinos Pitas, Mike E. Davies, Pierre Vandergheynst
Revisiting hard thresholding for DNN pruning. CoRR (2019)
Michael P. Sheehan, Antoine Gonon, Mike E. Davies
Compressive Learning for Semi-Parametric Models. CoRR (2019)
Cagdas Ulas, Giles Tetteh, Michael J. Thrippleton, Paul A. Armitage, Stephen D. Makin, Joanna M. Wardlaw, Mike E. Davies, Bjoern H. Menze
Direct Estimation of Pharmacokinetic Parameters from DCE-MRI Using Deep CNN with Forward Physical Model Loss. MICCAI (1) (2018)
Dongdong Chen, Jiancheng Lv, Mike E. Davies
Learning Discriminative Representation with Signed Laplacian Restricted Boltzmann Machine. CoRR (2018)
Gabor Hannak, Alessandro Perelli, Norbert Goertz, Gerald Matz, Mike E. Davies
Performance Analysis of Approximate Message Passing for Distributed Compressed Sensing. IEEE J. Sel. Top. Signal Process. 12 (5) (2018)
Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, David Laurenson
Improved Breast Mass Segmentation in Mammograms with Conditional Residual U-Net. RAMBO+BIA+TIA@MICCAI (2018)
Cagdas Ulas, Giles Tetteh, Michael J. Thrippleton, Paul A. Armitage, Stephen D. Makin, Joanna M. Wardlaw, Mike E. Davies, Bjoern H. Menze
Direct Estimation of Pharmacokinetic Parameters from DCE-MRI using Deep CNN with Forward Physical Model Loss. CoRR (2018)
Madeleine S. Kotzagiannidis, Mike E. Davies
Analysis vs Synthesis - An Investigation of (Co)sparse Signal Models on Graphs. CoRR (2018)
Mohammad Golbabaee, Zhouye Chen, Yves Wiaux, Mike E. Davies
CoverBLIP: scalable iterative matched filtering for MR Fingerprint recovery. CoRR (2018)
Madeleine S. Kotzagiannidis, Mike E. Davies
Analysis vs Synthesis - An Investigation of (Co)sparse Signal Models on Graphs. GlobalSIP (2018)
Mohammad Golbabaee, Zhouye Chen, Yves Wiaux, Mike E. Davies
CoverBLIP: accelerated and scalable iterative matched-filtering for Magnetic Resonance Fingerprint reconstruction. CoRR (2018)
Konstantinos Pitas, Mike E. Davies, Pierre Vandergheynst
PAC-Bayesian Margin Bounds for Convolutional Neural Networks - Technical Report. CoRR (2018)
Konstantinos Pitas, Mike E. Davies, Pierre Vandergheynst
FeTa: A DCA Pruning Algorithm with Generalization Error Guarantees. CoRR (2018)
Mohammad Golbabaee, Mike E. Davies
Inexact Gradient Projection and Fast Data Driven Compressed Sensing. IEEE Trans. Inf. Theory 64 (10) (2018)
Cecile Chenot, Mehrdad Yaghoobi, Mike E. Davies, Yoann Altmann
Anomaly Detection with High Resolution Hyperspectral Observations. GlobalSIP (2018)
Heyi Li, Dongdong Chen, Bill Nailon, Mike E. Davies, Dave Laurenson
Improved Breast Mass Segmentation in Mammograms with Conditional Residual U-net. CoRR (2018)
Madeleine S. Kotzagiannidis, Mike E. Davies
Analysis vs Synthesis with Structure - An Investigation of Union of Subspace Models on Graphs. CoRR (2018)
Mohammad Golbabaee, Dongdong Chen, Pedro A. Gómez, Marion I. Menzel, Mike E. Davies
A deep learning approach for Magnetic Resonance Fingerprinting. CoRR (2018)
Arnold Julian Vinoj Benjamin, Pedro A. Gómez, Mohammad Golbabaee, Tim Sprenger, Marion I. Menzel, Mike E. Davies, Ian Marshall
Balanced multi-shot EPI for accelerated Cartesian MRF: An alternative to spiral MRF. CoRR (2018)
Junqi Tang, Mohammad Golbabaee, Francis R. Bach, Mike E. Davies
Rest-Katyusha: Exploiting the Solution's Structure via Scheduled Restart Schemes. NeurIPS (2018)
Junqi Tang, Mohammad Golbabaee, Mike E. Davies
Exploiting the structure via sketched gradient algorithms. GlobalSIP (2017)
Jonathan H. Mason, William H. Nailon, Mike E. Davies
A Monte Carlo Framework for Low Dose CT Reconstruction Testing. SASHIMI@MICCAI (2017)
Abdulmalik Aldharrab, Mike E. Davies
Time-data trade-off in the sparse Fourier transform. EUSIPCO (2017)
Gilles Puy, Mike E. Davies, Rémi Gribonval
. IEEE Trans. Inf. Theory 63 (4) (2017)
Alessandro Perelli, Mike E. Davies
Multi denoising approximate message passing for optimal recovery with lower computational cost. EUSIPCO (2017)
Junqi Tang, Mohammad Golbabaee, Mike E. Davies
Gradient Projection Iterative Sketch for Large-Scale Constrained Least-Squares. ICML (2017)
Gabor Hannak, Alessandro Perelli, Norbert Goertz, Gerald Matz, Mike E. Davies
Performance Analysis of Approximate Message Passing for Distributed Compressed Sensing. CoRR (2017)
Jonathan H. Mason, Alessandro Perelli, William H. Nailon, Mike E. Davies
Can Planning Images Reduce Scatter in Follow-Up Cone-Beam CT? MIUA (2017)
Jonathan H. Mason, Alessandro Perelli, William H. Nailon, Mike E. Davies
Quantitative Electron Density CT Imaging for Radiotherapy Planning. MIUA (2017)
Mohammad Golbabaee, Zhouye Chen, Yves Wiaux, Mike E. Davies
Cover tree compressed sensing for fast mr fingerprint recovery. MLSP (2017)
Yann Traonmilin, Gilles Puy, Rémi Gribonval, Mike E. Davies
Compressed sensing in Hilbert spaces. CoRR (2017)
Mohammad Golbabaee, Mike E. Davies
Inexact Gradient Projection and Fast Data Driven Compressed Sensing. CoRR (2017)
Alessandro Perelli, Michael A. Lexa, Ali Can, Mike E. Davies
Denoising Message Passing for X-ray Computed Tomography Reconstruction. CoRR (2016)
Ebtihal H. G. Yousif, James R. Hopgood, John S. Thompson, Mike E. Davies
A new approach for multi-dimensional signal processing and modelling for signals from gel electrophoresis. EUSIPCO (2016)
Alhussein Fawzi, Mike E. Davies, Pascal Frossard
Dictionary Learning for Fast Classification Based on Soft-thresholding. Int. J. Comput. Vis. 114 (2-3) (2015)
Gilles Puy, Mike E. Davies, Rémi Gribonval
Recipes for stable linear embeddings from Hilbert spaces to $\mathbb{R}^m$. CoRR (2015)
Mehrdad Yaghoobi, Di Wu, Mike E. Davies
Fast Non-Negative Orthogonal Matching Pursuit. IEEE Signal Process. Lett. 22 (9) (2015)
Gilles Puy, Mike E. Davies, Rémi Gribonval
. EUSIPCO (2015)
Alessandro Perelli, Mike E. Davies
Compressive computed tomography image reconstruction with denoising message passing algorithms. EUSIPCO (2015)
Chunli Guo, Mike E. Davies
Near Optimal Compressed Sensing Without Priors: Parametric SURE Approximate Message Passing. IEEE Trans. Signal Process. 63 (8) (2015)
Mehrdad Yaghoobi, Mike E. Davies
Fast non-negative orthogonal least squares. EUSIPCO (2015)
Norbert Goertz, Chunli Guo, Alexander Jung, Mike E. Davies, Gerhard Doblinger
Iterative Recovery of Dense Signals from Incomplete Measurements. IEEE Signal Process. Lett. 21 (9) (2014)
Mike E. Davies, Gilles Puy, Pierre Vandergheynst, Yves Wiaux
A Compressed Sensing Framework for Magnetic Resonance Fingerprinting. SIAM J. Imaging Sci. 7 (4) (2014)
Laurent Jacques, Christophe De Vleeschouwer, Yannick Boursier, Prasad Sudhakar, C. De Mol, Aleksandra Pizurica, Sandrine Anthoine, Pierre Vandergheynst, Pascal Frossard, Cagdas Bilen, Srdan Kitic, Nancy Bertin, Rémi Gribonval, Nicolas Boumal, Bamdev Mishra, Pierre-Antoine Absil, Rodolphe Sepulchre, Shaun Bundervoet, Colas Schretter, Ann Dooms, Peter Schelkens, Olivier Chabiron, François Malgouyres, Jean-Yves Tourneret, Nicolas Dobigeon, Pierre Chainais, Cédric Richard, Bruno Cornelis, Ingrid Daubechies, David B. Dunson, Marie Danková, Pavel Rajmic, Kévin Degraux, Valerio Cambareri, Bert Geelen, Gauthier Lafruit, Gianluca Setti, Jean-François Determe, Jérôme Louveaux, François Horlin, Angélique Drémeau, Patrick Héas, Cédric Herzet, Vincent Duval, Gabriel Peyré, Alhussein Fawzi, Mike E. Davies, Nicolas Gillis, Stephen A. Vavasis, Charles Soussen, Luc Le Magoarou, Jingwei Liang, Jalal Fadili, Antoine Liutkus, David Martina, Sylvain Gigan, Laurent Daudet, Mauro Maggioni, Stanislav Minsker, Nate Strawn, C. Mory, Fred Maurice Ngolè Mboula, Jean-Luc Starck, Ignace Loris, Samuel Vaiter, Mohammad Golbabaee, Dejan Vukobratovic
Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14). CoRR (2014)
Mehrdad Yaghoobi, Michael A. Lexa, Fabien Millioz, Mike E. Davies
A low-complexity sub-Nyquist sampling system for wideband Radar ESM receivers. ICASSP (2014)
Alhussein Fawzi, Mike E. Davies, Pascal Frossard
Dictionary learning for fast classification based on soft-thresholding. CoRR (2014)
Anthony Bourrier, Mike E. Davies, Tomer Peleg, Patrick Pérez, Rémi Gribonval
Fundamental Performance Limits for Ideal Decoders in High-Dimensional Linear Inverse Problems. IEEE Trans. Inf. Theory 60 (12) (2014)
Shaun Kelly, Mehrdad Yaghoobi, Mike E. Davies
Sparsity-based autofocus for undersampled synthetic aperture radar. IEEE Trans. Aerosp. Electron. Syst. 50 (2) (2014)
Mike E. Davies, Gilles Puy, Pierre Vandergheynst, Yves Wiaux
Compressed quantitative MRI: Bloch response recovery through iterated projection. ICASSP (2014)
Chunli Guo, Mike E. Davies
Bayesian optimal compressed sensing without priors: Parametric sure approximate message passing. EUSIPCO (2014)
Chunli Guo, Mike E. Davies
Near optimal compressed sensing without priors: Parametric SURE Approximate Message Passing. CoRR (2014)
Chunli Guo, Mike E. Davies
Modulated measurement matrix design for compressed sensing. ICASSP (2014)
Chunli Guo, Mike E. Davies
Sample Distortion for Compressed Imaging. IEEE Trans. Signal Process. 61 (24) (2013)
Mehrdad Yaghoobi, Sangnam Nam, Rémi Gribonval, Mike E. Davies
Constrained Overcomplete Analysis Operator Learning for Cosparse Signal Modelling. IEEE Trans. Signal Process. 61 (9) (2013)
Chunli Guo, Mike E. Davies
Sample Distortion for Compressed Imaging CoRR (2013)
Mike E. Davies, Gilles Puy, Pierre Vandergheynst, Yves Wiaux
Compressed Quantitative MRI: Bloch Response Recovery through Iterated Projection. CoRR (2013)
Tomer Peleg, Rémi Gribonval, Mike E. Davies
Compressed sensing and best approximation from unions of subspaces: Beyond dictionaries. EUSIPCO (2013)
Anthony Bourrier, Mike E. Davies, Tomer Peleg, Patrick Pérez, Rémi Gribonval
Fundamental performance limits for ideal decoders in high-dimensional linear inverse problems. CoRR (2013)
Chunli Guo, Mike E. Davies
Sample allocation for statistical multiresolution compressed sensing. ICASSP (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Mike E. Davies