Dr Graham Cole is a Consultant Cardiologist and Honorary Senior Lecturer in Cardiology. His main interest is the rational use of cardiac imaging for clinical and research purposes.
His undergraduate training was at Gonville & Caius College, Cambridge where he achieved First Class Honours in Natural Sciences (Pathology) and was a Clinical Scholar. He achieved distinctions in all areas of his clinical finals and was awarded the Roger Morris prize for Surgery by Cambridge University. His postgraduate training was at the Hammersmith, Charing Cross, Guy's and St Thomas' Hospitals.
He was appointed to the North-West London training programme in Cardiology in 2008 and undertook a BHF-funded PhD with Professor Darrel Francis studying the high-precision quantification of cardiac function. He undertook fellowships in cardiac MRI at UCL/Barts and in cardiac CT at Guy's and St Thomas' Hospitals. He was appointed as a Consultant Cardiologist and Honorary Senior Lecturer at Imperial in 2018.
He is accredited in imaging and heart failure, is a high-volume CMR reporter (>1200 cases/year) and leads Cardiac MRI provision in the key areas of cardiomyopathy, heart failure, myocarditis and coronary artery disease.
et al., 2021, Coronary flow reserve and cardiovascular outcomes: a systematic review and meta-analysis, European Heart Journal, ISSN:0195-668X
et al., 2021, Bright-blood and dark-blood phase sensitive inversion recovery late gadolinium enhancement and T1 and T2 maps in a single free-breathing scan: an all-in-one approach, Journal of Cardiovascular Magnetic Resonance, Vol:23, ISSN:1097-6647
et al., 2021, INTELLIGENT LOCALISERS: AN INTEGRATED TIME-SAVING DEEP LEARNING SOLUTION FOR THE PLANNING OF CINE IMAGING AND IDENTIFICATION OF UNEXPECTED FINDINGS FROM A SINGLE TRANSAXIAL STACK, Annual Meeting of the British-Society-of-Cardiovascular-Magnetic-Resonance (BSCMR), BMJ PUBLISHING GROUP, Pages:A5-A6, ISSN:1355-6037
et al., 2021, Triage-HF plus: 12-month study of remote monitoring pathway for triage of heart failure risk initiated during the Covid-19 pandemic, OXFORD UNIV PRESS, Pages:3082-3082, ISSN:0195-668X
et al., 2021, Fully automated global longitudinal strain assessment using artificial intelligence developed and validated by a UK-wide echocardiography expert collaborative, OXFORD UNIV PRESS, Pages:2-2, ISSN:0195-668X