A Bayesian approach to tracking multiple targets using sensor arrays and particle filters. - Matthew Orton; William Fitzgerald (IEEE Trans. Signal Process., 2002)

Autoencoder in Time-Series Analysis for Unsupervised Tissues Characterisation in a Large Unlabelled Medical Image Dataset. - Hoo-Chang Shin; Matthew Orton; David J. Collins; Simon J. Doran; Martin O. Leach (ICMLA (1), 2011)

Stacked Autoencoders for Unsupervised Feature Learning and Multiple Organ Detection in a Pilot Study Using 4D Patient Data. - Hoo-Chang Shin; Matthew Orton; David J. Collins; Simon J. Doran; Martin O. Leach (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

T2-adjusted computed diffusion-weighted imaging: A novel method to enhance tumour visualisation. - Lin Cheng; Matthew D. Blackledge; David J. Collins; Matthew R. Orton; Neil P. Jerome; Thorsten Feiweier; Mihaela Rata; Veronica Morgan; Nina Tunariu; Martin O. Leach; Dow-Mu Koh (Comput. Biol. Medicine, 2016)

Improving Trajectory Optimization Using a Roadmap Framework. - Siyu Dai; Matthew Orton; Shawn Schaffert; Andreas G. Hofmann; Brian C. Williams (IROS, 2018)

Improving Incremental Planning Performance through Overlapping Replanning and Execution. - Matthew Orton; Siyu Dai; Shawn Schaffert; Andreas G. Hofmann; Brian C. Williams (ICRA, 2019)

Deep learning DCE-MRI parameter estimation: Application in pancreatic cancer. - Tim Ottens; Sebastiano Barbieri; Matthew R. Orton; Remy Klaassen; Hanneke W. M. van Laarhoven; Hans Crezee; Aart J. Nederveen; Xiantong Zhen; Oliver J. Gurney-Champion (Medical Image Anal., 2022)