| Variational autoencoder for deep learning of images, labels and captions Y Pu, Z Gan, R Henao, X Yuan, C Li, A Stevens, L Carin Advances in neural information processing systems 29, 2016 | 990 | 2016 |
| The potential for Bayesian compressive sensing to significantly reduce electron dose in high-resolution STEM images A Stevens, H Yang, L Carin, I Arslan, ND Browning Microscopy 63 (1), 41-51, 2014 | 188 | 2014 |
| Implementing an accurate and rapid sparse sampling approach for low-dose atomic resolution STEM imaging L Kovarik, A Stevens, A Liyu, ND Browning Applied Physics Letters 109, 2016 | 142 | 2016 |
| Bridging zirconia nodes within a metal–organic framework via catalytic Ni-hydroxo clusters to form heterobimetallic nanowires AE Platero-Prats, AB League, V Bernales, J Ye, LC Gallington, A Vjunov, ... Journal of the American Chemical Society 139 (30), 10410-10418, 2017 | 94 | 2017 |
| A Sub-Sampled Approach to Extremely Low-Dose STEM A Stevens, L Luzi, H Yang, L Kovarik, BL Mehdi, A Liyu, ME Gehm, ... Applied Physics Letters 112, 043104, 2018 | 90 | 2018 |
| The impact of Li grain size on coulombic efficiency in Li batteries BL Mehdi, A Stevens, J Qian, C Park, W Xu, WA Henderson, JG Zhang, ... Scientific reports 6, 34267, 2016 | 83 | 2016 |
| Applying compressive sensing to TEM video: a substantial frame rate increase on any camera A Stevens, L Kovarik, P Abellan, X Yuan, L Carin, ND Browning Advanced Structural and Chemical Imaging 1, 1-20, 2015 | 77 | 2015 |
| Learning weight uncertainty with stochastic gradient mcmc for shape classification C Li, A Stevens, C Chen, Y Pu, Z Gan, L Carin Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 61 | 2016 |
| Minimising damage in high resolution scanning transmission electron microscope images of nanoscale structures and processes D Nicholls, J Lee, H Amari, AJ Stevens, BL Mehdi, ND Browning Nanoscale 12 (41), 21248-21254, 2020 | 55 | 2020 |
| A deep generative deconvolutional image model Y Pu, W Yuan, A Stevens, C Li, L Carin Artificial Intelligence and Statistics, 741-750, 2016 | 55 | 2016 |
| Subsampled STEM-ptychography A Stevens, H Yang, W Hao, L Jones, C Ophus, PD Nellist, ND Browning Appl. Phys. Lett. 113, 033104, 2018 | 50 | 2018 |
| Automated point mapping for building control systems: Recent advances and future research needs W Wang, MR Brambley, W Kim, S Somasundaram, AJ Stevens Automation in Construction 85, 107-123, 2018 | 39 | 2018 |
| Controlling the spatio-temporal dose distribution during STEM imaging by subsampled acquisition: In-situ observations of kinetic processes in liquids BL Mehdi, A Stevens, L Kovarik, N Jiang, H Mehta, A Liyu, S Reehl, ... Applied Physics Letters 115 (6), 063102, 2019 | 34 | 2019 |
| Single-shot memory-effect video X Li, A Stevens, JA Greenberg, ME Gehm Scientific reports 8 (1), 13402, 2018 | 30 | 2018 |
| Sub-sampled imaging for STEM: Maximising image speed, resolution and precision through reconstruction parameter refinement D Nicholls, J Wells, A Stevens, Y Zheng, J Castagna, ND Browning Ultramicroscopy 233, 113451, 2022 | 29 | 2022 |
| TEM phase contrast imaging with image plane phase grating AJ Stevens, L Kovarik, ND Browning US Patent 10,170,274, 2019 | 28 | 2019 |
| Compressive transmission microscopy AJ Stevens, L Kovarik, ND Browning, AV Liyu, X Yuan, L Carin US Patent 10,224,175, 2019 | 24* | 2019 |
| Tensor-Dictionary Learning with Deep Kruskal-Factor Analysis. A Stevens, Y Pu, Y Sun, G Spell, L Carin Artificial Intelligence and Statistics, 121-129, 2017 | 23 | 2017 |
| Electron beam masks for compressive sensors AJ Stevens, L Kovarik, ND Browning, AV Liyu US Patent 10,109,453, 2018 | 22* | 2018 |
| Practical implementation of compressive sensing for high resolution STEM D Mucke-Herzberg, P Abellan, MC Sarahan, IS Godfrey, Z Saghi, ... Microscopy and Microanalysis 22 (S3), 558-559, 2016 | 20 | 2016 |
Nigel D BrowningProfessor of Materials Science, University of LiverpoolVerified email at liverpool.ac.uk
