MRC Laboratory of Medical Sciences

Declan O'Regan

He

Head of the Computational Cardiac Imaging Group

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Areas of focus:
Cell identity across the life course
LMS role:
Group HeadsResearchersScientific Leadership
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About me

Experience:

2020 -

Present

Professor of Imaging Sciences, Imperial College London

2016 -

2020

Reader in Imaging Sciences, Imperial College London

2013 -

 

FRCP, Royal College of Physicians of London

2007 -

2016

Senior Lecturer, Imperial College London

2007 -

 

PhD, Imperial College London

2004 -

2007

Schering Research Fellowship, MRC Clinical Sciences Centre

2003 -

 

FRCR, Royal College of Radiologists

2000 -

2007

Specialist registrar in Clinical Radiology, Hammersmith Hospital NHS Trust

1999 -

 

DTM&H, University of Liverpool

1998 -

2000

Senior House Officer, London and SE

1997 -

 

MBBS, University of London

1994 -

 

BSc, University of London

Research focus:

My group’s work explores the mechanisms underlying heart disease by applying machine learning and data science techniques to capture complex traits in the heart, across diverse populations, for discovering genetic and environmental determinants of health. Our work aims to understand the mechanisms driving diversity in heart disease.

Joined LMS:

2007

About me:

I joined the LMS because of the opportunity to combine clinical imaging research with data science and machine learning. The LMS offers state of the art facilities for translational research and fosters collaborations that bridge diverse disciplines. The Institute also provides excellent opportunities to train and mentor early career researchers.

My awards and achievements:

Roentgen Travelling Professorship (Royal College of Radiologists)
Rohan Williams Travelling Professorship (Royal Australian and New Zealand College of Radiologists)
BHF Projects Grant Committee
MRC Clinical Training and Career Development Panel

Impact of my work:

In our group we develop and apply new technology for making patient-specific decisions, predicting future clinical states, and uncovering fundamental mechanisms driving the transition from health to disease.

My Research

Computational cardiac imaging

We explore the mechanisms underlying heart disease by applying machine learning and data science techniques to capture complex traits in the heart, across diverse populations, for discovering genetic and environmental determinants of health. Our work aims to understand the mechanisms driving diversity in heart disease.

VIEW MY RESEARCH GROUP

Selected publications

Thanaj, M., Mielke, J., McGurk, K.A., Bai W., Savioli N., de Marvao A., V Meyer H., Zeng L., Sohler F., Lumbers R. T., Wilkins M. R., Ware J. S., Bender C., Rueckert D., MacNamara A., Freitag D. F., O’Regan D. P. (2022). Genetic and environmental determinants of diastolic heart function. Nat Cardiovasc Res 1, 361–371. https://doi.org/10.1038/s44161-022-00048-2

Meyer HV, Dawes TJW, Serrani M, Bai W, Tokarczuk P, Cai J, de Marvao A, Henry A, Lumbers RT, Gierten J, Thumberger T, Wittbrodt J, Ware JS, Rueckert D, Matthews PM, Prasad SK, Costantino ML, Cook SA, Birney E, O’Regan DP. (2020). Genetic and functional insights into the fractal structure of the heart. Nature, 584; 589–594.

Bai W, Suzuki H, Huang J, Francis C, Wang S, Tarroni G, Guitton F, Aung N, Fung K, Petersen SE, Piechnik SK, Neubauer S, Evangelou E, Dehghan A, O’Regan DP, Wilkins MR, Guo Y, Matthews PM, Rueckert D. (2020). A population-based phenome-wide association study of cardiac and aortic structure and function. Nature Medicine, https://doi.org/10.1038/s41591-020-1009-y.

Bello GA, Dawes TJW, Duan J, Biffi C, de Marvao A, Howard LSGE, Gibbs SR, Wilkins MR, Cook SA, Rueckert D, O’Regan DP. (2019). Deep learning cardiac motion analysis for human survival prediction. Nature Machine Intelligence, Vol:1, ISSN:2522-5839; 95-104

Dawes TJW, de Marvao A, Shi W, Rueckert D, Cook SA and O’Regan DP. (2019). Identifying the optimal regional predictor of right ventricular global function: a high-resolution three-dimensional cardiac magnetic resonance study. Anaesthesia. 74, 312-320. DOI:10.1111/anae.14494.

Dawes TJW, Cai J, Quinlan M, de Marvao A, Ostowski PJ, Tokarczuk PF, Watson GMJ, Wharton J, Howard LSGE, Gibbs SR, Cook SA, Wilkins MR, O’Regan DP. (2018). Fractal analysis of right ventricular trabeculae in pulmonary hypertension. Radiology, Vol:288, ISSN:0033-8419; 386-395

Biffi C, de Marvao A, Attard MI, Dawes TJW, Whiffin N, Bai W, Shi W, Francis C, Meyer H, Buchan R, Cook SA, Rueckert D, O’Regan DP. (2018). Three-dimensional cardiovascular imaging-genetics: a mass univariate framework. Bioinformatics. 34, 97-103. DOI:10.1093/bioinformatics/btx552.

News about my work