| 2025 | FUSION | PiVoT: Poisson Measurements-Based Variational Multi-Object Detection and Tracking. | Runze Gan, Qing Li, James R. Hopgood, Mike E. Davies, Simon J. Godsill |
| 2025 | ICLR | UNSURE: self-supervised learning with Unknown Noise level and Stein's Unbiased Risk Estimate. | Julin Tachella, Mike E. Davies, Laurent Jacques |
| 2024 | FUSION | Implementation of AKKF-based Multi-Sensor Fusion Methods in Stone Soup. | James S. Wright, Mengwei Sun, Mike E. Davies, Ian K. Proudler, James R. Hopgood |
| 2023 | ICASSP | Hardware Friendly Spline Sketched Lidar. | Michael P. Sheehan, Julin Tachella, Mike E. Davies |
| 2022 | CVPR | Robust Equivariant Imaging: a fully unsupervised framework for learning to image from noisy and partial measurements. | Dongdong Chen, Julin Tachella, Mike E. Davies |
| 2022 | ICASSP | Sketched RT3D: How to Reconstruct Billions of Photons Per Second. | Julin Tachella, Michael P. Sheehan, Mike E. Davies |
| 2022 | ISIT | Warm-Starting in Message Passing algorithms. | Nikolajs Skuratovs, Mike E. Davies |
| 2021 | CVPR | The Neural Tangent Link Between CNN Denoisers and Non-Local Filters. | Julin Tachella, Junqi Tang, Mike E. Davies |
| 2021 | ICCV | Equivariant Imaging: Learning Beyond the Range Space. | Dongdong Chen, Julin Tachella, Mike E. Davies |
| 2020 | ECCV | Deep Decomposition Learning for Inverse Imaging Problems. | Dongdong Chen, Mike E. Davies |
| 2020 | MICCAI | Compressive MR Fingerprinting Reconstruction with Neural Proximal Gradient Iterations. | Dongdong Chen, Mike E. Davies, Mohammad Golbabaee |
| 2019 | ICASSP | Expectation-propagation Algorithms for Linear Regression with Poisson Noise: Application to Photon-limited Spectral Unmixing. | Yoann Altmann, Alessandro Perelli, Mike E. Davies |
| 2019 | ICASSP | Geometry of Deep Learning for Magnetic Resonance Fingerprinting. | Mohammad Golbabaee, Dongdong Chen, Pedro A. Gmez, Marion I. Menzel, Mike E. Davies |
| 2019 | ICASSP | A Deep Dual-path Network for Improved Mammogram Image Processing. | Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, Dave Laurenson |
| 2019 | ICASSP | Hyper-parameter Learning for Sparse Structured Probabilistic Models. | Tatiana Shpakova, Francis R. Bach, Mike E. Davies |
| 2019 | ICASSP | The Limitation and Practical Acceleration of Stochastic Gradient Algorithms in Inverse Problems. | Junqi Tang, Karen O. Egiazarian, Mike E. Davies |
| 2019 | MICCAI | Signed Laplacian Deep Learning with Adversarial Augmentation for Improved Mammography Diagnosis. | Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, David I. Laurenson |
| 2018 | MICCAI | Improved Breast Mass Segmentation in Mammograms with Conditional Residual U-Net. | Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, David Laurenson |
| 2018 | MICCAI | Direct Estimation of Pharmacokinetic Parameters from DCE-MRI Using Deep CNN with Forward Physical Model Loss. | Cagdas Ulas, Giles Tetteh, Michael J. Thrippleton, Paul A. Armitage, Stephen D. Makin, Joanna M. Wardlaw, Mike E. Davies, Bjoern H. Menze |
| 2017 | ICML | Gradient Projection Iterative Sketch for Large-Scale Constrained Least-Squares. | Junqi Tang, Mohammad Golbabaee, Mike E. Davies |
| 2017 | MICCAI | A Monte Carlo Framework for Low Dose CT Reconstruction Testing. | Jonathan H. Mason, William H. Nailon, Mike E. Davies |
| 2014 | ICASSP | Compressed quantitative MRI: Bloch response recovery through iterated projection. | Mike E. Davies, Gilles Puy, Pierre Vandergheynst, Yves Wiaux |
| 2014 | ICASSP | Modulated measurement matrix design for compressed sensing. | Chunli Guo, Mike E. Davies |
| 2014 | ICASSP | A low-complexity sub-Nyquist sampling system for wideband Radar ESM receivers. | Mehrdad Yaghoobi, Michael A. Lexa, Fabien Millioz, Mike E. Davies |
| 2013 | ICASSP | Sample allocation for statistical multiresolution compressed sensing. | Chunli Guo, Mike E. Davies |
| 2011 | ICASSP | Compressive power spectral density estimation. | Michael A. Lexa, Mike E. Davies, John S. Thompson, Janosch Nikolic |
| 2009 | ICASSP | A simple, efficient and near optimal algorithm for compressed sensing. | Thomas Blumensath, Mike E. Davies |
| 2007 | ICASSP | Iterative Hard Thresholding and L0 Regularisation. | Thomas Blumensath, Mehrdad Yaghoobi, Mike E. Davies |
| 2007 | ICASSP | Quantized Sparse Approximation with Iterative Thresholding for Audio Coding. | Mehrdad Yaghoobi, Thomas Blumensath, Mike E. Davies |
| 2005 | ICASSP | A fast importance sampling algorithm for unsupervised learning of over-complete dictionaries. | Thomas Blumensath, Mike E. Davies |
| 2004 | ICASSP | Unsupervised learning of sparse and shift-invariant decompositions of polyphonic music. | Thomas Blumensath, Mike E. Davies |