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)

Interpretable Machine Learning Classifiers for Brain Tumour Survival Prediction. - Colleen E. Charlton; Michael Tin Chung Poon; Paul M. Brennan; Jacques D. Fleuriot (CoRR, 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)

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)

Development of prediction models for one-year brain tumour survival using machine learning: a comparison of accuracy and interpretability. - Colleen E. Charlton; Michael Tin Chung Poon; Paul M. Brennan; Jacques D. Fleuriot (Comput. Methods Programs Biomed., 2023)