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Dr Elisa Rauseo

Elisa

Senior Clinical Lecturer and Consultant Cardiologist

Centre: Advanced Cardiovascular Imaging

Email: e.rauseo@qmul.ac.uk
X: @elisarauseo

Profile

Dr Elisa Rauseo is a Senior Clinical Lecturer at the William Harvey Research Institute, Queen Mary University of London, and Consultant Cardiologist at Barts Heart Centre, Barts Health NHS Trust. She specialises in multimodality cardiovascular imaging, with expertise in cardiac CT, cardiovascular magnetic resonance, echocardiography, artificial intelligence and digital health.

Her academic work focuses on using advanced cardiovascular imaging, machine learning and patient-specific computational modelling to improve disease characterisation, risk stratification and personalised treatment in cardiovascular disease. She completed her PhD in Cardiovascular Medicine at Queen Mary University of London, where her research used large-scale imaging datasets, including UK Biobank, to identify imaging biomarkers and data-driven cardiovascular phenotypes. In 2025, she was awarded the Alfred Thomas Corrie Prize by Barts School of Medicine and Dentistry for her doctoral research.

Her current work focuses on AI, advanced cardiac CT and digital twins for personalised cardiology, including applications in transcatheter aortic valve implantation, atrial fibrillation, hypertension and heart failure. She has a particular interest in translating imaging-based and computational models into clinically useful tools for treatment planning, procedural decision-making and outcome prediction.

Follow Elisa Rauseo on LinkedIn.

Research

ORCID iD: 0000-0002-7009-3447

Dr Rauseo’s research focuses on the use of advanced cardiovascular imaging, artificial intelligence and computational modelling to improve personalised cardiovascular care.

Her work uses cardiac CT, cardiovascular magnetic resonance, echocardiography and large-scale clinical datasets to identify imaging biomarkers, disease phenotypes and risk markers across cardiovascular conditions. A major focus of her research is the development of patient-specific models and digital twins that can support earlier risk identification, treatment selection, procedural planning and outcome prediction.

Current research areas include digital twins in cardiology, AI-based image analysis, cardiac CT-derived tissue characterisation, photon-counting CT, computational modelling for transcatheter aortic valve implantation, atrial fibrillation ablation, hypertension phenotyping and heart failure. Her work sits at the interface between clinical cardiology, imaging, engineering, data science, regulatory science and translational medicine.

Publications

Main Peer-Reviewed Publications

  1. Understanding the mechanisms of TAVI durability through computational modelling: a multidisciplinary review. Rauseo E, Bevis L, Chen X, Petersen SE, Mathur A, Slabaugh GG, Roney CH. Eur Heart J Digit Health. 2026 Feb 3;7(2):ztag020. doi: 10.1093/ehjdh/ztag020.
  2. Cardiac magnetic resonance characteristics and prognostic associations of hypertension-mediated left ventricular hypertrophy. Naderi H, van Duijvenboden S, Ramírez J, Chadalavada S, Rauseo E, Aung N, Petersen SE, Munroe PB. Eur Heart J Imaging Methods Pract. 2026 Jan 13;4(1):qyaf168. doi: 10.1093/ehjimp/qyaf168.
  3. Clinical phenotypes in hypertension: a data-driven approach to risk stratification and outcome prediction. Rauseo E, Salih AM, Cooper J, Abdulkareem M, Banerji CRS, Chadalavada S, Naderi H, Munroe PB, Mathur A, Aung A, Slabaugh GG, Petersen SE. Hypertension. 2025 Dec 11. doi: 10.1161/HYPERTENSIONAHA.125.25187.
  4. Prospective electrocardiographic and cardiovascular magnetic resonance alterations in the UK Biobank coronavirus disease 2019 repeat imaging study. Chadalavada S, Salih A, Naderi H, Rauseo E, Cooper J, Duijvenboden SV, Chahal AA, Dabbagh GS, Szabo L, Khanji MY, Vargas JD, Sanghvi M, Fung K, Paiva J, Piechnik SK, Raman B, Munroe PB, Lee AM, Amir-Khalili A, Biasiolli L, Greenwood JP, Matthews PM, Bai W, Neubauer S, Aung N, Harvey NC, Raisi-Estabragh Z, Petersen SE. J Cardiovasc Magn Reson. 2025 Winter;27(2):101957. doi: 10.1016/j.jocmr.2025.101957.
  5. Quality control of cardiac magnetic resonance imaging segmentation, feature tracking, aortic flow and native T1 analysis using automated batch processing in the UK Biobank Study. Chadalavada S*, Rauseo E*, Salih A, Naderi H, Khanji MY, Vargas JD, Lee AM, Amir-Khalili A, Lockhart L, Graham B, Chirvasa M, Fung K, Paiva J, Sanghvi MM, Slabaugh GG, M, Jensen MT, Aung N, Petersen SE (shared first authorship). European Heart Journal - Imaging Methods and Practice, 2024;qyae094, https://doi.org/10.1093/ehjimp/qyae094
  6. Prevalence, Cardiac Phenotype, and Outcomes of Transthyretin Variants in the UK Biobank Population. Aung N, Nicholls HL, Chahal CAA, Khanji MY, Rauseo E, Chadalavada S, Petersen SE, Munroe PB, Elliott PM, Lopes LR. JAMA Cardiol. 2024 Aug 28:e242190. doi: 10.1001/jamacardio.2024.2190.
  7. A review of evaluation approaches for explainable AI with applications in cardiology. Salih AM, Galazzo IB, Gkontra P, Rauseo E, Lee AM, Lekadir K, Radeva P, Petersen SE, Menegaz G. Artif Intell Rev. 2024;57(9):240. doi: 10.1007/s10462-024-10852-w. Epub 2024 Aug 9.
  8. Myocardial Strain Measured by Cardiac Magnetic Resonance Predicts Cardiovascular Morbidity and Death. Chadalavada S, Fung K, Rauseo E, Lee AM, Khanji MY, Amir-Khalili A, Paiva J, Naderi H, Banik S, Chirvasa M, Jensen MT, Aung N, Petersen SE. J Am Coll Cardiol. 2024 Aug 13;84(7):648-659. doi: 10.1016/j.jacc.2024.05.050.
  9. Left Ventricular Trabeculations at Cardiac MRI: Reference Ranges and Association with Cardiovascular Risk Factors in UK Biobank. Aung N, Bartoli A, Rauseo E, Cortaredona S, Sanghvi MM, Fournel J, Ghattas B, Khanji MY, Petersen SE, Jacquier A. Radiology. 2024 Apr;311(1):e232455. doi: 10.1148/radiol.232455.
  10. Phenotyping left ventricular systolic dysfunction in asymptomatic individuals for improved risk stratification. Rauseo E, Abdulkareem M, Khan A, Cooper J, Lee AM, Aung N, Slabaugh GG, Petersen SE. Eur Heart J Cardiovasc Imaging. 2023 Sep 26;24(10):1363-1373. doi: 10.1093/ehjci/jead218.
  11. Ischemic Heart Disease and Vascular Risk Factors Are Associated With Accelerated Brain Aging. Rauseo E, Salih A, Raisi-Estabragh Z, Aung N, Khanderia N, Slabaugh GG, Marshall CR, Neubauer S, Radeva P, Galazzo IB, Menegaz G, Petersen SE. JACC Cardiovasc Imaging. 2023 Jul;16(7):905-915. doi: 10.1016/j.jcmg.2023.01.016.
  12. Quantification of Epicardial Adipose Tissue Volume and Attenuation for Cardiac CT Scans Using Deep Learning in a Single Multi-Task Framework. Abdulkareem M, Brahier MS, Zou F, Rauseo E, Uchegbu I, Taylor A, Thomaides A, Bergquist PJ, Srichai MB, Lee AM, Vargas JD, Petersen SE. Rev Cardiovasc Med. 2022 Dec 20;23(12):412. doi: 10.31083/j.rcm2312412.
  13. Mitral Annular Disjunction Assessed Using CMR Imaging: Insights From the UK Biobank Population Study. Zugwitz D, Fung K, Aung N, Rauseo E, McCracken C, Cooper J, El Messaoudi S, Anderson RH, Piechnik SK, Neubauer S, Petersen SE, Nijveldt R. JACC Cardiovasc Imaging. 2022 Nov;15(11):1856-1866. doi: 10.1016/j.jcmg.2022.07.015.
  14. Predicting post-contrast information from contrast agent free cardiac MRI using machine learning: Challenges and methods. Abdulkareem M, Kenawy AA, Rauseo E, Lee AM, Sojoudi A, Amir-Khalili A, Lekadir K, Young AA, Barnes MR, Barckow P, Khanji MY, Aung N, Petersen SE. Front Cardiovasc Med. 2022 Jul 27;9:894503. doi: 10.3389/fcvm.2022.894503.
  15. A Systematic Quality Scoring Analysis to Assess Automated Cardiovascular Magnetic Resonance Segmentation Algorithms. Rauseo E, Omer M, Amir-Khalili A, Sojoudi A, Le TT, Cook SA, Hausenloy DJ, Ang B, Toh DF, Bryant J, Chin CWL, Paiva JM, Fung K, Cooper J, Khanji MY, Aung N, Petersen SE. Front Cardiovasc Med. 2022 Feb 15;8:816985. doi: 10.3389/fcvm.2021.816985.
  16. Brain age estimation at tract group level and its association with daily life measures, cardiac risk factors and genetic variants. Salih A, Boscolo Galazzo I, Raisi-Estabragh Z, Rauseo E, Gkontra P, Petersen SE, Lekadir K, Altmann A, Radeva P, Menegaz G. Sci Rep. 2021 Oct 18;11(1):20563. doi: 10.1038/s41598-021-99153-8.
  17. New Imaging Signatures of Cardiac Alterations in Ischaemic Heart Disease and Cerebrovascular Disease Using CMR Radiomics. Rauseo E, Izquierdo Morcillo C, Raisi-Estabragh Z, Gkontra P, Aung N, Lekadir K, Petersen SE. Front Cardiovasc Med. 2021 Sep 23;8:716577. doi: 10.3389/fcvm.2021.716577.
  18. Medical image segmentation automatic quality control: A multi-dimensional approach. Fournel J, Bartoli A, Bendahan D, Guye M, Bernard M, Rauseo E, Khanji MY, Petersen SE, Jacquier A, Ghattas B. Med Image Anal. 2021 Dec;74:102213. doi: 10.1016/j.media.2021.102213.
  19. Adverse cardiovascular magnetic resonance phenotypes are associated with greater likelihood of incident coronavirus disease 2019: findings from the UK Biobank. Raisi-Estabragh Z, McCracken C, Cooper J, Fung K, Paiva JM, Khanji MY, Rauseo E, Biasiolli L, Raman B, Piechnik SK, Neubauer S, Munroe PB, Harvey NC, Petersen SE. Aging Clin Exp Res. 2021 Apr;33(4):1133-1144. doi: 10.1007/s40520-021-01808-z. Epub 2021 Mar 8. PMID: 33683678; PMCID: PMC7938275.

Sponsors

  • NIHR Barts Biomedical Research Centre
  • AI-based Cardiac Image Computing mini-CDT, Queen Mary University of London
  • EDITH Coordination and Support Action, European Commission
  • London Medical Imaging and AI Centre for Value-Based Healthcare, Innovate UK

Collaborators

Internal

  • Professor Steffen Petersen (WHRI)
  • Professor Anthony Mathur (WHRI)
  • Professor Patricia Munroe (WHRI)
  • Professor Greg Slabaugh (EECS, DERI)
  • Dr Caroline Roney (EECS, DERI)
  • Dr Francesca Pugliese (WHRI)
  • Dr Qianni Zhang (EECS)
  • Dr Muhammad Salman Haleem (EECS)

External

  • Professor Thomas Treibel (UCL)
  • Professor Gloria Menegaz (University of Verona, Italy)

News

  • Podcast: “Beating Bits: AI helping cardiology”, The Digital Twin Theory, VPH Institute, 31 March 2025. Dr Rauseo discussed the clinical applications of artificial intelligence, machine learning and digital twins in cardiology.  
  • Media coverage: “Brain Aging’ May Link Heart Disease, Dementia Risk”, Medscape, 17 April 2023. Article covering Dr Rauseo’s JACC: Cardiovascular Imaging paper on ischemic heart disease, vascular risk factors and accelerated brain ageing. 

Teaching

Dr Rauseo contributes to teaching and supervision in cardiovascular imaging, artificial intelligence and computational modelling, including PhD supervision and undergraduate/postgraduate teaching in cardiac CT, cardiovascular anatomy, clinical trials and regulatory affairs.

Disclosures

  • Dr Rauseo provides scientific consultancy services to EverMint Health Inc., a Delaware corporation.
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