
Publications
A comparison of tumour characteristics of screen-detected and interval cancers and their relationship with breast density and AJCC prognostic stage in a UK screening cohort.
– European Radiology
(2026)
1
(doi: 10.1007/s00330-026-12593-6)
PLAQUE STRUCTURAL STRESS ESTIMATIONS FROM ARTIFICIAL INTELLIGENCE-DRIVEN OCT ANALYSIS IMPROVE PREDICTION OF FUTURE MAJOR ADVERSE CARDIOVASCULAR EVENTS
– JACC-JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY
(2026)
87,
A788
26-A-15449-ACC PLAQUE STRUCTURAL STRESS ESTIMATIONS FROM ARTIFICIAL INTELLIGENCE-DRIVEN OCT ANALYSIS IMPROVE PREDICTION OF FUTURE MAJOR ADVERSE CARDIOVASCULAR EVENTS
– Journal of the American College of Cardiology
(2026)
87,
a788
(doi: 10.1016/j.jacc.2026.02.2035)
Performance of breast cancer risk prediction algorithms across mammography systems in the UK screening programme.
– NPJ digital medicine
(2026)
9,
330
(doi: 10.1038/s41746-026-02507-7)
Interpretable and reproducible machine learning model for coronary calcification and segment-level stenoses stratification on computed tomography angiography
– BMC Medicine
(2025)
23,
657
(doi: 10.1186/s12916-025-04478-0)
Evaluation of a Mammography-based Deep Learning Model for Breast Cancer Risk Prediction in a Triennial Screening Program
– Radiology
(2025)
317,
e250391
(doi: 10.1148/radiol.250391)
Artificial intelligence-led whole coronary artery OCT analysis; validation and identification of drug efficacy and higher-risk plaques
– Circulation. Cardiovascular imaging
(2025)
18,
e018133
ViTAL-CT: Vision Transformers for High-Risk Plaque Classification in Coronary CTA
– MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2025, PT VI
(2025)
15965 LNCS,
681
(doi: 10.1007/978-3-032-04978-0_65)
2-022 Artifact-corrected artificial intelligence-LED intracoronary oct analysis identifies plaque progression and vulnerability, drug efficacy and patient events
– Acute coronary syndromes & interventional cardiology
(2025)
a60
(doi: 10.1136/heartjnl-2025-bcs.61)
A Artifact-corrected artificial intelligence-LED intracoronary OCT analysis identifies plaque progression and vulnerability, drug efficacy and patient events
– Young Investigator Award
(2025)
A276
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