James T. Teo

37 papers Journal 29Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Reproducible Synthetic Clinical Letters for Seizure Frequency Information Extraction.
CoRR
Yujian Gan, Stephen H. Barlow, Ben Holgate, Joe Davies, James T. Teo, Joel S. Winston, Mark P. Richardson
2025 — conf
A Framework for Flexible Extraction of Clinical Event Contextual Properties from Electronic Health Records.
ACL (6)
Shubham Agarwal, Thomas Searle, Mart Ratas, Anthony Shek, James T. Teo, Richard J. B. Dobson
2025 J jnl
Neuradicon: Operational representation learning of neuroimaging reports.
Comput. Methods Programs Biomed.
Henry C. Watkins, Robert J. Gray, Adam Julius, Yee-Haur Mah, James T. Teo, Walter H. L. Pinaya, Paul Wright, Ashwani Jha, Holger Engleitner, Jorge Cardoso, Sébastien Ourselin, Geraint Rees, Hans Rolf Jäger, Parashkev Nachev
2025 J jnl
RelCAT: Advancing Extraction of Clinical Inter-Entity Relationships from Unstructured Electronic Health Records.
CoRR
Shubham Agarwal, Vlad Dinu, Thomas Searle, Mart Ratas, Anthony Shek, Dan F. Stein, James T. Teo, Richard J. B. Dobson
2025 — conf
SLENDER: Structured Outputs for SLM-based NER in Low-Resource Englishes.
ACL (6)
Nicole Ren, James T. Teo
2025 J jnl
The early warning paradox.
npj Digit. Medicine
Hugh Logan Ellis, Edward Palmer, James T. Teo, Martin Whyte, Kenneth Rockwood, Zina M. Ibrahim
2024 J jnl
Enhancing clinical data retrieval with Smart Watchers: a NiFi-based ETL pipeline for Elasticsearch queries.
BMC Medical Informatics Decis. Mak.
Mohammad Al-Agil, Stephen J. Obee, Vlad Dinu, James T. Teo, David Brawand, Piers E. M. Patten, Anwar Alhaq
2024 — conf
Extracting Epilepsy Patient Data with Llama 2.
BioNLP@ACL
Ben Holgate, Shichao Fang, Anthony Shek, Matthew McWilliam, Pedro F. Viana, Joel S. Winston, James T. Teo, Mark P. Richardson
2024 J jnl
Framework to generate perfusion map from CT and CTA images in patients with acute ischemic stroke: A longitudinal and cross-sectional study.
CoRR
Chayanin Tangwiriyasakul, Pedro Borges, Stefano Moriconi, Paul Wright, Yee-Haur Mah, James T. Teo, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2024 J jnl
Improving Extraction of Clinical Event Contextual Properties from Electronic Health Records: A Comparative Study.
CoRR
Shubham Agarwal, Thomas Searle, Mart Ratas, Anthony Shek, James T. Teo, Richard J. B. Dobson
2024 J jnl
Large Language Models for Medical Forecasting - Foresight 2.
CoRR
Zeljko Kraljevic, Joshua Au Yeung, Daniel Bean, James T. Teo, Richard J. B. Dobson
2024 J jnl
Natural language processing data services for healthcare providers.
BMC Medical Informatics Decis. Mak.
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
2023 J jnl
AI chatbots not yet ready for clinical use.
Frontiers Digit. Health
Joshua Au Yeung, Zeljko Kraljevic, Akish Luintel, Alfred Balston, Esther Idowu, Richard J. B. Dobson, James T. Teo
2023 J jnl
Discharge summary hospital course summarisation of in patient Electronic Health Record text with clinical concept guided deep pre-trained Transformer models.
J. Biomed. Informatics
Thomas Searle, Zina M. Ibrahim, James T. Teo, Richard J. B. Dobson
2023 — conf
Framework to Generate Perfusion Map from CT and CTA Images in Patients with Acute Ischemic Stroke: A Longitudinal and Cross-Sectional Study.
BrainLes/SWITCH@MICCAI
Chayanin Tangwiriyasakul, Pedro Borges, Stefano Moriconi, Paul Wright, Yee-Haur Mah, James T. Teo, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2023 J jnl
Latent Transformer Models for out-of-distribution detection.
Medical Image Anal.
Mark S. Graham, Petru-Daniel Tudosiu, Paul Wright, 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, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2023 — conf
Unsupervised 3D Out-of-Distribution Detection with Latent Diffusion Models.
MICCAI (1)
Mark S. Graham, Walter Hugo Lopez Pinaya, Paul Wright, Petru-Daniel Tudosiu, Yee-Haur Mah, James T. Teo, Hans Rolf Jäger, David Werring, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2023 J jnl
Unsupervised 3D out-of-distribution detection with latent diffusion models.
CoRR
Mark S. Graham, Walter Hugo Lopez Pinaya, Paul Wright, Petru-Daniel Tudosiu, Yee-Haur Mah, James T. Teo, Hans Rolf Jäger, David Werring, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2023 — conf
Validating Transformers for Redaction of Text from Electronic Health Records in Real-World Healthcare.
ICHI
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
2023 J jnl
Validating transformers for redaction of text from electronic health records in real-world healthcare.
CoRR
Zeljko Kraljevic, Anthony Shek, Joshua Au Yeung, Ewart Jonathan Sheldon, Mohammad Al-Agil, Haris Shuaib, Xi Bai, Kawsar Noor, Anoop D. Shah, Richard J. B. Dobson, James T. Teo
2022 J jnl
A Knowledge Distillation Ensemble Framework for Predicting Short- and Long-Term Hospitalization Outcomes From Electronic Health Records Data.
IEEE J. Biomed. Health Informatics
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
2022 — conf
Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models.
MICCAI (8)
Walter H. L. Pinaya, Mark S. Graham, Robert J. Gray, Pedro F. Da Costa, Petru-Daniel Tudosiu, Paul Wright, Yee-Haur Mah, Andrew D. MacKinnon, James T. Teo, Hans Rolf Jäger, David Werring, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2022 J jnl
Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models.
CoRR
Walter H. L. Pinaya, Mark S. Graham, Robert J. Gray, Pedro F. Da Costa, Petru-Daniel Tudosiu, Paul Wright, Yee-Haur Mah, Andrew D. MacKinnon, James T. Teo, Hans Rolf Jäger, David Werring, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2022 J jnl
Foresight - Deep Generative Modelling of Patient Timelines using Electronic Health Records.
CoRR
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
2022 J jnl
Moving towards vertically integrated artificial intelligence development.
npj Digit. Medicine
Joe Zhang, Sanjay Budhdeo, William Wasswa, Paul Cerrato, Haris Shuaib, Harpreet Sood, Hutan Ashrafian, John D. Halamka, James T. Teo
2022 J jnl
Summarisation of Electronic Health Records with Clinical Concept Guidance.
CoRR
Thomas Searle, Zina M. Ibrahim, James T. Teo, Richard J. B. Dobson
2022 — conf
Transformer-based out-of-distribution detection for clinically safe segmentation.
MIDL
Mark S. Graham, Petru-Daniel Tudosiu, Paul Wright, 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
2022 J jnl
Transformer-based out-of-distribution detection for clinically safe segmentation.
CoRR
Mark S. Graham, Petru-Daniel Tudosiu, Paul Wright, 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
2021 J jnl
Ensemble learning for poor prognosis predictions: A case study on SARS-CoV-2.
J. Am. Medical Informatics Assoc.
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, James T. Teo, Amitava Banerjee, Fang Gao-Smith, Tony Whitehouse, Tonny Veenith, Georgios V. Gkoutos, Xiaodong Wu, Richard J. B. Dobson, Bruce Guthrie
2021 J jnl
Estimating Redundancy in Clinical Text.
CoRR
Thomas Searle, Zina M. Ibrahim, James T. Teo, Richard J. B. Dobson
2021 J jnl
Estimating redundancy in clinical text.
J. Biomed. Informatics
Thomas Searle, Zina M. Ibrahim, James T. Teo, Richard J. B. Dobson
2021 J jnl
MedGPT: Medical Concept Prediction from Clinical Narratives.
CoRR
Zeljko Kraljevic, Anthony Shek, Daniel Bean, Rebecca Bendayan, James T. Teo, Richard J. B. Dobson
2021 J jnl
Multi-domain clinical natural language processing with MedCAT: The Medical Concept Annotation Toolkit.
Artif. Intell. Medicine
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, Robert Stewart, Anoop D. Shah, Wai Keong Wong, Zina M. Ibrahim, James T. Teo, Richard J. B. Dobson
2021 J jnl
Real-time clinician text feeds from electronic health records.
npj Digit. Medicine
James T. Teo, Vlad Dinu, William Bernal, Phil Davidson, Vitaliy Oliynyk, Cormac Breen, Richard D. Barker, Richard J. B. Dobson
2020 J jnl
A Knowledge Distillation Ensemble Framework for Predicting Short and Long-term Hospitalisation Outcomes from Electronic Health Records Data.
CoRR
Zina M. Ibrahim, Daniel Bean, Thomas Searle, Honghan Wu, Anthony Shek, Zeljko Kraljevic, James Galloway, Sam Norton, James T. Teo, Richard J. B. Dobson
2020 J jnl
Multi-domain Clinical Natural Language Processing with MedCAT: the Medical Concept Annotation Toolkit.
CoRR
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, Robert Stewart, Anoop D. Shah, Wai Keong Wong, Zina M. Ibrahim, James T. Teo, Richard J. B. Dobson
2010 J jnl
The Contribution of Primary Motor Cortex is Essential for Probabilistic Implicit Sequence Learning: Evidence from Theta Burst Magnetic Stimulation.
J. Cogn. Neurosci.
Leonora Wilkinson, James T. Teo, Ignacio Obeso, John C. Rothwell, Marjan Jahanshahi