Text mining brain imaging reports. - Beatrice Alex; Claire Grover; Richard Tobin; Cathie Sudlow; Grant Mair; William Whiteley (J. Biomed. Semant., 2019)

Named Entity Recognition for Electronic Health Records: A Comparison of Rule-based and Machine Learning Approaches. - Philip John Gorinski; Honghan Wu; Claire Grover; Richard Tobin; Conn Talbot; Heather Whalley; Cathie Sudlow; William Whiteley; Beatrice Alex (CoRR, 2019)

Direct Neural Network 3D Image Reconstruction of Radon Encoded Data. - William Whiteley; Jens Gregor (CoRR, 2019)

A validated natural language processing algorithm for brain imaging phenotypes from radiology reports in UK electronic health records. - Emily Wheater; Grant Mair; Cathie Sudlow; Beatrice Alex; Claire Grover; William Whiteley (BMC Medical Informatics Decis. Mak., 2019)

Not a cute stroke: Analysis of Rule- and Neural Network-based Information Extraction Systems for Brain Radiology Reports. - Andreas Grivas; Beatrice Alex; Claire Grover; Richard Tobin; William Whiteley (LOUHI@EMNLP, 2020)

FastPET: Near Real-Time PET Reconstruction from Histo-Images Using a Neural Network. - William Whiteley; Vladimir Panin; Chuanyu Zhou; Jorge Cabello; Deepak Bharkhada; Jens Gregor (CoRR, 2020)

The considerations, experiences and support needs of family members making treatment decisions for patients admitted with major stroke: a qualitative study. - Akila Visvanathan; G. E. Mead; M. Dennis; William Whiteley; F. N. Doubal; J. Lawton (BMC Medical Informatics Decis. Mak., 2020)

The reporting quality of natural language processing studies: systematic review of studies of radiology reports. - Emma M. Davidson; Michael Tin Chung Poon; Arlene Casey; Andreas Grivas; Daniel Duma; Hang Dong 002; Víctor Suárez-Paniagua; Claire Grover; Richard Tobin; Heather Whalley; Honghan Wu; Beatrice Alex; et al. (BMC Medical Imaging, 2021)

Explainable automated coding of clinical notes using hierarchical label-wise attention networks and label embedding initialisation. - Hang Dong 002; Víctor Suárez-Paniagua; William Whiteley; Honghan Wu (J. Biomed. Informatics, 2021)

A systematic review of natural language processing applied to radiology reports. - Arlene Casey; Emma M. Davidson; Michael Tin Chung Poon; Hang Dong 002; Daniel Duma; Andreas Grivas; Claire Grover; Víctor Suárez-Paniagua; Richard Tobin; William Whiteley; Honghan Wu; Beatrice Alex (BMC Medical Informatics Decis. Mak., 2021)

Developing automated methods for disease subtyping in UK Biobank: an exemplar study on stroke. - Kristiina Rannikmäe; Honghan Wu; Steven Tominey; William Whiteley; Naomi Allen; Cathie Sudlow (BMC Medical Informatics Decis. Mak., 2021)

Comparison of rule-based and neural network models for negation detection in radiology reports. - D. Sykes; Andreas Grivas; Claire Grover; Richard Tobin; Cathie Sudlow; William Whiteley; Andrew M. McIntosh; Heather Whalley; Beatrice Alex (Nat. Lang. Eng., 2021)

Automated Clinical Coding: What, Why, and Where We Are? - Hang Dong 002; Matús Falis; William Whiteley; Beatrice Alex; Shaoxiong Ji; Jiaoyan Chen 001; Honghan Wu (CoRR, 2022)

Ontology-Based and Weakly Supervised Rare Disease Phenotyping from Clinical Notes. - Hang Dong 002; Víctor Suárez-Paniagua; Huayu Zhang; Minhong Wang 002; Arlene Casey; Emma M. Davidson; Jiaoyan Chen 001; Beatrice Alex; William Whiteley; Honghan Wu (CoRR, 2022)

Automated clinical coding: what, why, and where we are? - Hang Dong 002; Matús Falis; William Whiteley; Beatrice Alex; Joshua Matterson; Shaoxiong Ji; Jiaoyan Chen 001; Honghan Wu (npj Digit. Medicine, 2022)

A survey on clinical natural language processing in the United Kingdom from 2007 to 2022. - Honghan Wu; Minhong Wang 002; Jinge Wu; Farah Francis; Yun-Hsuan Chang; Alex Shavick; Hang Dong 002; Michael Tin Chung Poon; Natalie K. Fitzpatrick; Adam P. Levine; Luke T. Slater; Alex Handy; et al. (npj Digit. Medicine, 2022)

Segmentation of White Matter Hyperintensities and Ischaemic Stroke Lesions in Structural MRI. - Jesse Phitidis; Alison Q. O'Neil; Stewart Wiseman; David Alexander Dickie; Eleni Sakka; Agniete Kampaite; William Whiteley; Miguel O. Bernabeu; Beatrice Alex; Joanna M. Wardlaw; Maria del C. Valdés Hernández (MIUA, 2023)

New Insights into Stroke from Continuous Passively Collected Temperature and Sleep Data Using Wrist-Worn Wearables. - Katherine Edgley; Ho-Yan Yvonne Chun; William Whiteley; Athanasios Tsanas (Sensors, 2023)

Understanding the performance and reliability of NLP tools: a comparison of four NLP tools predicting stroke phenotypes in radiology reports. - Arlene Casey; Emma M. Davidson; Claire Grover; Richard Tobin; Andreas Grivas; Huayu Zhang; Patrick Schrempf; Alison Q. O'Neil; Liam Lee; Michael Walsh; Freya Pellie; Karen Ferguson; et al. (Frontiers Digit. Health, 2023)

Harmonising electronic health records for reproducible research: challenges, solutions and recommendations from a UK-wide COVID-19 research collaboration. - Hoda Abbasizanjani; Fatemeh Torabi; Stuart Bedston; Thomas Bolton 002; Gareth Davies 005; Spiros C. Denaxas; Rowena Griffiths; Laura Herbert; Sam Hollings; Spencer Keene; Kamlesh Khunti; Emily Lowthian; et al. (BMC Medical Informatics Decis. Mak., 2023)

Ontology-driven and weakly supervised rare disease identification from clinical notes. - Hang Dong 002; Víctor Suárez-Paniagua; Huayu Zhang; Minhong Wang 002; Arlene Casey; Emma M. Davidson; Jiaoyan Chen 001; Beatrice Alex; William Whiteley; Honghan Wu (BMC Medical Informatics Decis. Mak., 2023)

Confounder-Aware Image Synthesis for Pathology Segmentation in New Magnetic Resonance Imaging Sequences. - Jesse Phitidis; Antanas Kascenas; Maria del C. Valdés Hernández; William Whiteley; Joanna M. Wardlaw; Alison Q. O'Neil (MIUA (2), 2024)

Automated neuroradiological support systems for multiple cerebrovascular disease markers - A systematic review and meta-analysis. - Jesse Phitidis; Alison Q. O'Neil; William Whiteley; Beatrice Alex; Joanna M. Wardlaw; Miguel O. Bernabeu; Maria del C. Valdés Hernández (Comput. Methods Programs Biomed., 2025)