Measuring Cortical Neurite-Dispersion and Perfusion in Preterm-Born Adolescents Using Multi-modal MRI. - Andrew Melbourne; Zach Eaton-Rosen; David Owen 001; M. Jorge Cardoso; Joanne Beckmann; David Atkinson; Neil Marlow; Sébastien Ourselin (MICCAI (3), 2015)

Optimisation of Arterial Spin Labelling Using Bayesian Experimental Design. - David Owen 001; Andrew Melbourne; David Thomas 002; Enrico De Vita; Jonathan D. Rohrer; Sébastien Ourselin (MICCAI (3), 2016)

NiftyFit: a Software Package for Multi-parametric Model-Fitting of 4D Magnetic Resonance Imaging Data. - Andrew Melbourne; Nicolas Toussaint; David Owen 001; Ivor J. A. Simpson; Thanasis Anthopoulos; Enrico De Vita; David Atkinson; Sébastien Ourselin (Neuroinformatics, 2016)

Anatomy-Driven Modelling of Spatial Correlation for Regularisation of Arterial Spin Labelling Images. - David Owen 001; Andrew Melbourne; Zach Eaton-Rosen; David Thomas 002; Neil Marlow; Jonathan D. Rohrer; Sébastien Ourselin (MICCAI (2), 2017)

Deep Convolutional Filtering for Spatio-Temporal Denoising and Artifact Removal in Arterial Spin Labelling MRI. - David Owen 001; Andrew Melbourne; Zach Eaton-Rosen; David L. Thomas; Neil Marlow; Jonathan D. Rohrer; Sébastien Ourselin (MICCAI (1), 2018)

Improved Placental Parameter Estimation Using Data-Driven Bayesian Modelling. - Dimitra Flouri; David Owen 001; Rosalind Aughwane; Nada Mufti; Magdalena J. Sokolska; David Atkinson; Giles S. Kendall; Alan Bainbridge; Tom Vercauteren; Anna L. David; Sébastien Ourselin; Andrew Melbourne (MICCAI (3), 2019)

Detecting Reflections by Combining Semantic and Instance Segmentation. - David Owen 001; Ping-Lin Chang (CoRR, 2019)

Detection of Critical Structures in Laparoscopic Cholecystectomy Using Label Relaxation and Self-supervision. - David Owen 001; Maria Grammatikopoulou; Imanol Luengo; Danail Stoyanov (MICCAI (4), 2021)

Automated identification of critical structures in laparoscopic cholecystectomy. - David Owen 001; Maria Grammatikopoulou; Imanol Luengo; Danail Stoyanov (Int. J. Comput. Assist. Radiol. Surg., 2022)

Why is the Winner the Best? - Matthias Eisenmann; Annika Reinke; Vivienn Weru; Minu Dietlinde Tizabi; Fabian Isensee; Tim J. Adler; Sharib Ali; Vincent Andrearczyk; Marc Aubreville; Ujjwal Baid; Spyridon Bakas; Niranjan Balu; et al. (CVPR, 2023)

Who is leading in AI? An analysis of industry AI research. - Ben Cottier; Tamay Besiroglu; David Owen 001 (CoRR, 2023)

Algorithmic progress in language models. - Anson Ho; Tamay Besiroglu; Ege Erdil; Zifan Carl Guo; David Owen 001; Robi Rahman; David Atkinson; Neil Thompson; Jaime Sevilla (NeurIPS, 2024)

The rising costs of training frontier AI models. - Ben Cottier; Robi Rahman; Loredana Fattorini; Nestor Maslej; David Owen 001 (CoRR, 2024)

A spatio-temporal network for video semantic segmentation in surgical videos. - Maria Grammatikopoulou; Ricardo Sanchez-Matilla; Felix J. S. Bragman; David Owen 001; Lucy Culshaw; Karen Kerr; Danail Stoyanov; Imanol Luengo (Int. J. Comput. Assist. Radiol. Surg., 2024)

Hierarchical segmentation of surgical scenes in laparoscopy. - Pritesh Mehta; David Owen 001; Maria Grammatikopoulou; Lucy Culshaw; Karen Kerr; Danail Stoyanov; Imanol Luengo (Int. J. Comput. Assist. Radiol. Surg., 2024)