Adaptive cardiovascular imaging: challenges and opportunities for real-time processing. - Andrew W. Dowsey; Robert D. Merrifield; Guang-Zhong Yang (IEEE Signal Process. Mag., 2006)

Cardiac-Motion Compensated MR Imaging and Strain Analysis of Ventricular Trabeculae. - Andrew W. Dowsey; Jennifer Keegan; Guang-Zhong Yang (MICCAI (1), 2007)

Motion-compensated MR valve imaging with COMB tag tracking and super-resolution enhancement. - Andrew W. Dowsey; Jennifer Keegan; Mirna Lerotic; Simon A. Thom; David N. Firmin; Guang-Zhong Yang (Medical Image Anal., 2007)

Automated image alignment for 2D gel electrophoresis in a high-throughput proteomics pipeline. - Andrew W. Dowsey; Michael J. Dunn; Guang-Zhong Yang (Bioinform., 2008)

The Future of Large-Scale Collaborative Proteomics. - Andrew W. Dowsey; Guang-Zhong Yang (Proc. IEEE, 2008)

Informatics and Statistics for Analyzing 2-D Gel Electrophoresis Images. - Andrew W. Dowsey; Jeffrey S. Morris; Howard B. Gutstein; Guang-Zhong Yang (Proteome Bioinformatics, 2010)

Dealing with Data Sparsity in Drug Named Entity Recognition. - Dimitrios Piliouras; Ioannis Korkontzelos; Andrew W. Dowsey; Sophia Ananiadou (ICHI, 2013)

A new paradigm for clinical biomarker discovery and screening with Mass Spectrometry through biomedical image analysis principles. - Hanqing Liao; Emmanouil Moschidis; Isabel Riba-Garcia; Yan Zhang; Richard D. Unwin; Jeffrey S. Morris; Jim Graham; Andrew W. Dowsey (ISBI, 2014)

Boosting drug named entity recognition using an aggregate classifier. - Ioannis Korkontzelos; Dimitrios Piliouras; Andrew W. Dowsey; Sophia Ananiadou (Artif. Intell. Medicine, 2015)

Chapter 7. Algorithms for MS1-Based Quantitation. - Hanqing Liao; Alexander Phillips; Andris Jankevics; Andrew W. Dowsey (Proteome Informatics, 2016)

Visual Identification of Individual Holstein Friesian Cattle via Deep Metric Learning. - William Andrew; Jing Gao; Neill W. Campbell; Andrew W. Dowsey; Tilo Burghardt (CoRR, 2020)

Visual identification of individual Holstein-Friesian cattle via deep metric learning. - William Andrew; Jing Gao; Siobhan Mullan; Neill W. Campbell; Andrew W. Dowsey; Tilo Burghardt (Comput. Electron. Agric., 2021)

Towards Self-Supervision for Video Identification of Individual Holstein-Friesian Cattle: The Cows2021 Dataset. - Jing Gao; Tilo Burghardt; William Andrew; Andrew W. Dowsey; Neill W. Campbell (CoRR, 2021)

MultiCamCows2024 - A Multi-view Image Dataset for AI-driven Holstein-Friesian Cattle Re-Identification on a Working Farm. - Phoenix Yu; Tilo Burghardt; Andrew W. Dowsey; Neill W. Campbell (CoRR, 2024)

Explainable AI for Classifying UTI Risk Groups Using a Real-World Linked EHR and Pathology Lab Dataset. - Yujie Dai; Brian Sullivan; Axel Montout; Amy Dillon; Chris Waller; Peter Acs; Rachel Denholm; Philip Williams; Alastair D. Hay; Raúl Santos-Rodríguez; Andrew W. Dowsey (CoRR, 2024)

Universal bovine identification via depth data and deep metric learning. - Asheesh Sharma; Lucy Randewich; William Andrew; Sion L. Hannuna; Neill W. Campbell; Siobhan Mullan; Andrew W. Dowsey; Melvyn L. Smith; Mark F. Hansen; Tilo Burghardt (Comput. Electron. Agric., 2025)

Holstein-Friesian re-identification using multiple cameras and self-supervision on a working farm. - Phoenix Yu; Tilo Burghardt; Andrew W. Dowsey; Neill W. Campbell (Comput. Electron. Agric., 2025)

Comparing conventional and Bayesian workflows for clinical outcome prediction modelling with an exemplar cohort study of severe COVID-19 infection incorporating clinical biomarker test results. - Brian Sullivan; Edward Barker 002; Louis MacGregor; Leo Gorman; Philip Williams; Ranjeet Bhamber; Matt Thomas; Stefan Gurney; Catherine Hyams; Alastair Whiteway; Jennifer A. Cooper; Chris McWilliams; et al. (BMC Medical Informatics Decis. Mak., 2025)