Table-top XUV nanoscope. - James A. Grant-Jacob (2011)

Automated 3D Labelling of Fibroblasts and Endothelial Cells in SEM-Imaged Placenta using Deep Learning. - Benita S. Mackay; Sophie Blundell; Olivia Etter; Yunhui Xie; Michael D. T. McDonnell; Matthew Praeger; James A. Grant-Jacob; Robert W. Eason; Rohan M. Lewis; Ben Mills (BIOIMAGING, 2020)

Deep Learning for the Automated Feature Labelling of 3-Dimensional Imaged Placenta. - Benita S. Mackay; James A. Grant-Jacob; Robert W. Eason; Rohan M. Lewis; Ben Mills (BIOSTEC (Selected Papers), 2020)

Modeling adult skeletal stem cell response to laser-machined topographies through deep learning. - Benita S. Mackay; Matthew Praeger; James A. Grant-Jacob; Janos Kanczler; Robert W. Eason; Richard O. C. Oreffo; Ben Mills (CoRR, 2020)

Machine learning for multi-dimensional optimisation and predictive visualisation of laser machining. - Michael D. T. McDonnell; Daniel Arnaldo; Etienne Pelletier; James A. Grant-Jacob; Matthew Praeger; Dimitris Karnakis; Robert W. Eason; Ben Mills (J. Intell. Manuf., 2021)

Playing optical tweezers with deep reinforcement learning: in virtual, physical and augmented environments. - Matthew Praeger; Yunhui Xie; James A. Grant-Jacob; Robert W. Eason; Ben Mills (Mach. Learn. Sci. Technol., 2021)

Studying the Topography of Laser Cut Aluminium Using Latent Space Produced by Deep Learning. - Alexander F. Courtier; Matthew Praeger; James A. Grant-Jacob; Christophe Codemard; Paul Harrison; Ben Mills; Michalis N. Zervas (PHOTOPTICS, 2023)