Invited Keynote 2: Applications of programmable logic in modern particle physics experiments. - Geoff Hall (FPT, 2006)

Adaptive Image Content-Based Exposure Control for Scanning Applications in Radiography. - Helene Schulerud; Jens T. Thielemann; Trine Kirkhus; Kristin Kaspersen; Joar M. Østby; Marinos G. Metaxas; Gary J. Royle; Jennifer Griffiths; Emily Cook; Colin Esbrand; Silvia Pani; Cristian Venanzi; et al. (ACIVS, 2007)

Distortion Correction for Immersive Navigation in Spherical Image Environment. - Xiaoyin Guan; Lik-Kwan Shark; Geoff Hall; Wei Deng (CW, 2009)

Dynamic Hand Gesture Tracking and Recognition for Real-Time Immersive Virtual Object Manipulation. - Gan Lu 002; Lik-Kwan Shark; Geoff Hall; Ulrike Zeshan (CW, 2009)

Hand Motion Recognition and Visualisation for Direct Sign Writing. - Gan Lu 002; Lik-Kwan Shark; Geoff Hall; Ulrike Zeshan (IV, 2010)

Development of an advanced database for clinical trials integrated with an electronic patient record system. - Alexander C. Newsham; Colin Johnston; Geoff Hall; Michael G. Leahy; Adam B. Smith; Aditya Vikram; Aine M. Donnelly; Galina Velikova; Peter J. Selby; Sheila E. Fisher (Comput. Biol. Medicine, 2011)

Immersive manipulation of virtual objects through glove-based hand gesture interaction. - Gan Lu 002; Lik-Kwan Shark; Geoff Hall; Ulrike Zeshan (Virtual Real., 2012)

Genetic Algorithm Based Production Schedule Optimization System for Highly Granular Energy Consumption Variance Minimization. - Chris Duerden; Lik-Kwan Shark; Geoff Hall; Joe Howe (SMC, 2015)

Prediction of granular time-series energy consumption for manufacturing jobs from analysis and learning of historical data. - Chris Duerden; Lik-Kwan Shark; Geoff Hall; Joe Howe (CISS, 2016)

Process mining routinely collected electronic health records to define real-life clinical pathways during chemotherapy. - Karl Baker; Elaine Dunwoodie; Richard G. Jones; Alex Newsham; Owen A. Johnson; Christopher P. Price; Jane Wolstenholme; Jose Leal; Patrick McGinley; Chris Twelves; Geoff Hall (Int. J. Medical Informatics, 2017)

A Multi-level Approach for Identifying Process Change in Cancer Pathways. - Angelina Prima Kurniati; Ciarán McInerney; Kieran Zucker; Geoff Hall; David C. Hogg; Owen A. Johnson (Business Process Management Workshops, 2019)

Finding relevant free-text radiology reports at scale with IBM Watson Content Analytics: a feasibility study in the UK NHS. - Alicja Piotrkowicz; Owen A. Johnson; Geoff Hall (J. Biomed. Semant., 2019)

The assessment of data quality issues for process mining in healthcare using Medical Information Mart for Intensive Care III, a freely available e-health record database. - Angelina Prima Kurniati; Eric Rojas 001; David C. Hogg; Geoff Hall; Owen A. Johnson (Health Informatics J., 2019)

Process Mining on the Extended Event Log to Analyse the System Usage During Healthcare Processes (Case Study: The GP Tab Usage During Chemotherapy Treatments). - Angelina Prima Kurniati; Geoff Hall; David C. Hogg; Owen A. Johnson (ICPM Workshops, 2020)

The Pitfalls of Using Open Data to Develop Deep Learning Solutions for COVID-19 Detection in Chest X-Rays. - Rachael Harkness; Geoff Hall; Alejandro F. Frangi; Nishant Ravikumar; Kieran Zucker (MedInfo, 2021)

AuguR: A Scalable Open-Source Interactive Web Application for Routinely Collected Data. - Kieran Zucker; Millie Wagstaff; Cathy Tomson; Roger Beecham; Geoff Hall (MedInfo, 2021)

Process Mining to Explore Variations in Endometrial Cancer Pathways from GP Referral to First Treatment. - Angelina Prima Kurniati; Eric Rojas 001; Kieran Zucker; Geoff Hall; David C. Hogg; Owen A. Johnson (MIE, 2021)

Assessing domain adaptation techniques for mitosis detection in multi-scanner breast cancer histopathology images. - Jack Breen; Kieran Zucker; Nicolas M. Orsi; Geoff Hall; Nishant Ravikumar (CoRR, 2021)

Efficient subtyping of ovarian cancer histopathology whole slide images using active sampling in multiple instance learning. - Jack Breen; Katie Allen; Kieran Zucker; Geoff Hall; Nicolas M. Orsi; Nishant Ravikumar (Digital and Computational Pathology, 2023)

Artificial Intelligence in Ovarian Cancer Histopathology: A Systematic Review. - Jack Breen; Katie S. Allen; Kieran Zucker; Pratik Adusumilli; Andy Scarsbrook; Geoff Hall; Nicolas M. Orsi; Nishant Ravikumar (CoRR, 2023)

Predicting Ovarian Cancer Treatment Response in Histopathology using Hierarchical Vision Transformers and Multiple Instance Learning. - Jack Breen; Katie Allen; Kieran Zucker; Geoff Hall; Nishant Ravikumar; Nicolas M. Orsi (CoRR, 2023)