
Publications
Deep Learning Algorithms for Breast Cancer Detection in a UK Screening Cohort: As Stand-alone Readers and Combined with Human Readers
– Radiology
(2024)
313,
e233147
(doi: 10.1148/radiol.233147)
Artificial Intelligence-Led Intracoronary OCT Analysis to Identify Drug Efficacy and Predict Patient Events
– JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY
(2024)
84,
B17
Residual post-infarct myocardial inflammation detected by 68Ga-DOTATATE PET/MRI predicts long-term adverse cardiac remodelling
– European Heart Journal
(2024)
45,
ehae666.289
Accuracy of an Artificial Intelligence System for Interval Breast Cancer Detection at Screening Mammography
– Radiology
(2024)
312,
e232303
(doi: 10.1148/radiol.232303)
Using machine learning to predict carotid artery symptoms from CT angiography: a radiomics and deep learning approach
– Eur J Radiol Open
(2024)
13,
100594
(doi: 10.1016/j.ejro.2024.100594)
Coronavirus disease 2019-related myocardial injury is associated with immune dysregulation in symptomatic patients with cardiac magnetic resonance imaging abnormalities.
– Cardiovascular Research
(2024)
120,
1752
(doi: 10.1093/cvr/cvae159)
Fast and High‐Resolution T2 Mapping Based on Echo Merging Plus k‐t Undersampling with Reduced Refocusing Flip Angles (TEMPURA) as Methods for Human Renal MRI
– Magn Reson Med
(2024)
92,
1138
(doi: 10.1002/mrm.30115)
A lumped parameter model for evaluating coronary artery blood supply capacity.
– Math Biosci Eng
(2024)
21,
5838
(doi: 10.3934/mbe.2024258)
CT pericoronary adipose tissue density predicts coronary allograft vasculopathy and adverse clinical outcomes after cardiac transplantation
– European Heart Journal - Cardiovascular Imaging
(2024)
25,
1018
(doi: 10.1093/ehjci/jeae069)
Improvements in Between-Vendor MRI Harmonization of Renal T2 Mapping using Stimulated Echo Compensation
– Journal of magnetic resonance imaging : JMRI
(2024)
60,
2144
(doi: 10.1002/jmri.29282)
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