The Contribution of Primary Motor Cortex is Essential for Probabilistic Implicit Sequence Learning: Evidence from Theta Burst Magnetic Stimulation. - Leonora Wilkinson; James T. Teo; Ignacio Obeso; John C. Rothwell; Marjan Jahanshahi (J. Cogn. Neurosci., 2010)

A Knowledge Distillation Ensemble Framework for Predicting Short and Long-term Hospitalisation Outcomes from Electronic Health Records Data. - Zina M. Ibrahim; Daniel Bean; Thomas Searle; Honghan Wu; Anthony Shek; Zeljko Kraljevic; James Galloway; Sam Norton; James T. Teo; Richard J. B. Dobson (CoRR, 2020)

Multi-domain clinical natural language processing with MedCAT: The Medical Concept Annotation Toolkit. - Zeljko Kraljevic; Thomas Searle; Anthony Shek; Lukasz Roguski; Kawsar Noor; Daniel Bean; Aurelie Mascio; Leilei Zhu; Amos A. Folarin; Angus Roberts; Rebecca Bendayan; Mark P. Richardson; et al. (Artif. Intell. Medicine, 2021)

MedGPT: Medical Concept Prediction from Clinical Narratives. - Zeljko Kraljevic; Anthony Shek; Daniel Bean; Rebecca Bendayan; James T. Teo; Richard J. B. Dobson (CoRR, 2021)

Ensemble learning for poor prognosis predictions: A case study on SARS-CoV-2. - Honghan Wu; Huayu Zhang; Andreas Karwath; Zina M. Ibrahim; Ting Shi; Xin Zhang; Kun Wang; Jiaxing Sun; Kevin Dhaliwal; Daniel Bean; Victor Roth Cardoso; Kezhi Li; et al. (J. Am. Medical Informatics Assoc., 2021)

Estimating redundancy in clinical text. - Thomas Searle; Zina M. Ibrahim; James T. Teo; Richard J. B. Dobson (J. Biomed. Informatics, 2021)

Real-time clinician text feeds from electronic health records. - James T. Teo; Vlad Dinu; William Bernal; Phil Davidson; Vitaliy Oliynyk; Cormac Breen; Richard D. Barker; Richard J. B. Dobson (npj Digit. Medicine, 2021)

Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models. - Walter H. L. Pinaya; Mark S. Graham; Robert J. Gray; Pedro F. Da Costa; Petru-Daniel Tudosiu; Paul Wright 001; Yee-Haur Mah; Andrew D. MacKinnon; James T. Teo; Hans Rolf Jäger; David Werring; Geraint Rees 001; et al. (MICCAI (8), 2022)

Transformer-based out-of-distribution detection for clinically safe segmentation. - Mark S. Graham; Petru-Daniel Tudosiu; Paul Wright 001; Walter Hugo Lopez Pinaya; Jean-Marie U.-King-Im; Yee-Haur Mah; James T. Teo; Hans Rolf Jäger; David Werring; Parashkev Nachev; Sébastien Ourselin; M. Jorge Cardoso (MIDL, 2022)

Summarisation of Electronic Health Records with Clinical Concept Guidance. - Thomas Searle; Zina M. Ibrahim; James T. Teo; Richard J. B. Dobson (CoRR, 2022)

Foresight - Deep Generative Modelling of Patient Timelines using Electronic Health Records. - Zeljko Kraljevic; Daniel Bean; Anthony Shek; Rebecca Bendayan; Joshua Au Yeung; Alexander Deng; Alfie Baston; Jack Ross; Esther Idowu; James T. Teo; Richard J. B. Dobson (CoRR, 2022)

Moving towards vertically integrated artificial intelligence development. - Joe Zhang; Sanjay Budhdeo; William Wasswa; Paul Cerrato; Haris Shuaib; Harpreet Sood; Hutan Ashrafian; John D. Halamka; James T. Teo (npj Digit. Medicine, 2022)

A Knowledge Distillation Ensemble Framework for Predicting Short- and Long-Term Hospitalization Outcomes From Electronic Health Records Data. - Zina M. Ibrahim; Daniel Bean; Thomas Searle; Linglong Qian; Honghan Wu; Anthony Shek; Zeljko Kraljevic; James Galloway; Sam Norton; James T. Teo; Richard J. B. Dobson (IEEE J. Biomed. Health Informatics, 2022)

Framework to Generate Perfusion Map from CT and CTA Images in Patients with Acute Ischemic Stroke: A Longitudinal and Cross-Sectional Study. - Chayanin Tangwiriyasakul; Pedro Borges; Stefano Moriconi; Paul Wright 001; Yee-Haur Mah; James T. Teo; Parashkev Nachev; Sébastien Ourselin; M. Jorge Cardoso (BrainLes/SWITCH@MICCAI, 2023)

Validating Transformers for Redaction of Text from Electronic Health Records in Real-World Healthcare. - Zeljko Kraljevic; Anthony Shek; Joshua Au Yeung; Ewart Jonathan Sheldon; Haris Shuaib; Mohammad Al-Agil; Xi Bai; Kawsar Noor; Anoop D. Shah; Richard J. B. Dobson; James T. Teo (ICHI, 2023)

Unsupervised 3D Out-of-Distribution Detection with Latent Diffusion Models. - Mark S. Graham; Walter Hugo Lopez Pinaya; Paul Wright 001; Petru-Daniel Tudosiu; Yee-Haur Mah; James T. Teo; Hans Rolf Jäger; David Werring; Parashkev Nachev; Sébastien Ourselin; M. Jorge Cardoso (MICCAI (1), 2023)

AI chatbots not yet ready for clinical use. - Joshua Au Yeung; Zeljko Kraljevic; Akish Luintel; Alfred Balston; Esther Idowu; Richard J. B. Dobson; James T. Teo (Frontiers Digit. Health, 2023)

Discharge summary hospital course summarisation of in patient Electronic Health Record text with clinical concept guided deep pre-trained Transformer models. - Thomas Searle; Zina M. Ibrahim; James T. Teo; Richard J. B. Dobson (J. Biomed. Informatics, 2023)

Latent Transformer Models for out-of-distribution detection. - Mark S. Graham; Petru-Daniel Tudosiu; Paul Wright 001; Walter Hugo Lopez Pinaya; Petteri Teikari; Ashay Patel; Jean-Marie U.-King-Im; Yee-Haur Mah; James T. Teo; Hans Rolf Jäger; David Werring; Geraint Rees 001; et al. (Medical Image Anal., 2023)

Extracting Epilepsy Patient Data with Llama 2. - Ben Holgate; Shichao Fang; Anthony Shek; Matthew McWilliam; Pedro F. Viana; Joel S. Winston; James T. Teo; Mark P. Richardson (BioNLP@ACL, 2024)

Improving Extraction of Clinical Event Contextual Properties from Electronic Health Records: A Comparative Study. - Shubham Agarwal; Thomas Searle; Mart Ratas; Anthony Shek; James T. Teo; Richard J. B. Dobson (CoRR, 2024)

Large Language Models for Medical Forecasting - Foresight 2. - Zeljko Kraljevic; Joshua Au Yeung; Daniel Bean; James T. Teo; Richard J. B. Dobson (CoRR, 2024)

Enhancing clinical data retrieval with Smart Watchers: a NiFi-based ETL pipeline for Elasticsearch queries. - Mohammad Al-Agil; Stephen J. Obee; Vlad Dinu; James T. Teo; David Brawand; Piers E. M. Patten; Anwar Alhaq (BMC Medical Informatics Decis. Mak., 2024)

Natural language processing data services for healthcare providers. - Joshua Au Yeung; Anthony Shek; Thomas Searle; Zeljko Kraljevic; Vlad Dinu; Mart Ratas; Mohammad Al-Agil; Aleksandra Foy; Barbara Rafferty; Vitaliy Oliynyk; James T. Teo (BMC Medical Informatics Decis. Mak., 2024)

Neuradicon: Operational representation learning of neuroimaging reports. - Henry C. Watkins; Robert J. Gray; Adam Julius; Yee-Haur Mah; James T. Teo; Walter H. L. Pinaya; Paul Wright 001; Ashwani Jha; Holger Engleitner; Jorge Cardoso 002; Sébastien Ourselin; Geraint Rees 001; et al. (Comput. Methods Programs Biomed., 2025)

The early warning paradox. - Hugh Logan Ellis; Edward Palmer; James T. Teo; Martin Whyte; Kenneth Rockwood; Zina M. Ibrahim (npj Digit. Medicine, 2025)

RelCAT: Advancing Extraction of Clinical Inter-Entity Relationships from Unstructured Electronic Health Records. - Shubham Agarwal; Vlad Dinu; Thomas Searle; Mart Ratas; Anthony Shek; Dan F. Stein; James T. Teo; Richard J. B. Dobson (CoRR, 2025)