Publications: DR Elisa Rauseo

Bevis L, Karabelas E, Rauseo E, Khan A, Chen X, Burns R, Patel K, Bhatti Y et al. ( 2025 ) . BS05 Assessment of turbulent aortic flow patterns in clinical regions of interest for durable transcatheter aortic valve implantation . Conference: Basic sciencea241.3 - a2a243 .

Naderi H, van Duijvenboden S, Ramírez J, Chadalavada S, Rauseo E, Aung N, Petersen SE, Munroe PB ( 2025 ) . CARDIAC MAGNETIC RESONANCE CHARACTERISTICS AND PROGNOSTIC ASSOCIATIONS OF HYPERTENSION-MEDIATED LEFT VENTRICULAR HYPERTROPHY . Journal of Hypertension . vol. 43 ,

Cheng F, Tonko J, Rauseo E, Misghina SB, Barrera C, Vigmond EJ, Slabaugh G, Aung N et al. ( 2025 ) . PO-FP-077 INVESTIGATING BORDER ZONE EFFECTS ON VENTRICULAR LOCAL ACTIVATION TIME USING IMAGING AND ELECTRICAL DATA DIGITAL TWINS . Heart Rhythm vol. 22 , ( 4 ) s113 - s113 .

Auriti A, Monaco L, Rauseo E, Antonini L, Colivicchi F ( 2025 ) . Presence of paradoxical mid-systolic longitudinal strain (stretching) with speckle tracking in the basal inferior-to-lateral segments in mitral valve prolapse . European Heart Journal - Cardiovascular Imaging vol. 26 , ( Supplement_1 )

Bevis L, Misghina S, Rauseo E, Lopez Barrera C, Plank G, Vigmond E, Loewe A, Karabelas E et al. ( 2024 ) . Development of a User-Friendly Pipeline for Constructing Atrial Models at Scale: Importance of the End-User for Clinical Uptake . https://cinc.org/final_program_papers_2024/ . Conference: Computing in Cardiology 2024 (CinC24) ( Karlsruhe, Germany ) from: 09/12/2024 to: 11/09/2024 , vol. 51 ,

( 2024 ) . Prevalence, Cardiac Phenotype, and Outcomes of Transthyretin Variants in the UK Biobank Population . JAMA Cardiology vol. 9 , ( 11 ) 964 - 972 .

Cheng F, Rauseo E, Misghina S, Barrera C, Vigmond E, Slabaugh G, Aung N, Petersen S et al. ( 2024 ) . Biventricular modelling for investigating ventricular arrhythmias in silico . European Heart Journal . Conference: ESC 2024 vol. 45 , ehae666.3501 - ehae666.3501 .

Rauseo E, Salih A, Cooper J, Abdulkareem M, Chadalavada S, Naderi H, Munroe PB, Aung N et al. ( 2024 ) . Clustering analysis based on clinically available data for improving risk stratification and outcome prediction of hypertension . European Heart Journal . Conference: ESC 2024 Congress vol. 45 , ehae666.2542 - ehae666.2542 .

Chadalavada S, Rauseo E, Sanghvi M, Lee AM, Amir-Khalili A, Chirvasa M, Banik S, Fung K et al. ( 2024 ) . Diabetes worsens the adverse association between myocardial diffuse fibrosis and left ventricular strain . European Heart Journal . vol. 45 ,

Misghina S, Rauseo E, Barrera CE, Vigmond EJ, Slabaugh G, Aung N, Petersen SE, Munroe PB et al. ( 2024 ) . In-silico insights into personalised therapy selection of anti-arrhythmic drugs and ablation using patient-specific biatrial models for atrial fibrillation . European Heart Journal . Conference: ESC 2024 vol. 45 , ehae666.3504 - ehae666.3504 .

Chadalavada S, Rauseo E, Salih A, Naderi H, Khanji M, Vargas JD, Lee AM, Amir-Kalili A et al. ( 2024 ) . 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 . European Heart Journal - Imaging Methods and Practice vol. 2 , ( 3 )

Misghina SB, Solis-Lemus JA, Lopez-Barrera CE, Rauseo E, Vigmond EJ, Niederer SA, Aung N, Munroe PB et al. ( 2024 ) . PO-05-033 PATIENT-SPECIFIC BIATRIAL MODELLING FRAMEWORK FOR PREDICTING ATRIAL FIBRILLATION OUTCOMES . Heart Rhythm vol. 21 , ( 5 ) s565 - s566 .

Chadalavada S, Rauseo E, Salih A, Naderi H, Khanji M, Vargas JD, Lee AM, Amir-Kalili A et al. ( 2024 ) . 11 Visual quality control of assessment of AI-assisted high-volume CMR segmentation in the UK Biobank . Conference: Abstractsa5.1 - a5a5 .

Chadalavada S, Fung K, Rauseo E, Lee A, Amir-Khalili A, Paiva J, Naderi H, Banik S et al. ( 2024 ) . CMR 4-144 Myocardial Strain Predicts Cardiovascular Morbidity and Death: A UK Biobank Cardiovascular Magnetic Resonance Study . Journal of Cardiovascular Magnetic Resonance vol. 26 ,

Petersen S, Aung N, Raisi Estabragh Z, Fung K, Rauseo E ( 2022 ) . Mitral annular disjunction assessed by cardiovascular magnetic resonance imaging: Insights from UK Biobank Population Study . JACC: Cardiovascular Imaging

Abdulkareem M, Kenawy AA, Rauseo E, Lee AM, Sojoudi A, Amir-Khalili A, Lekadir K, Young AA et al. ( 2022 ) . Predicting post-contrast information from contrast agent free cardiac MRI using machine learning: Challenges and methods . Frontiers in Cardiovascular Medicine vol. 9 ,

Rauseo E, Omer M, Amir-Khalili A, Sojoudi A, Le T-T, Cook SA, Hausenloy DJ, Ang B et al. ( 2022 ) . A Systematic Quality Scoring Analysis to Assess Automated Cardiovascular Magnetic Resonance Segmentation Algorithms . Frontiers in Cardiovascular Medicine vol. 8 ,

Petersen S, Raisi-Estabragh Z ( 2021 ) . Brain age estimation at tract group level and its association with daily life measures, cardiac risk factors and genetic variants . Scientific Reports

Petersen S, Khanji M, Rauseo E ( 2021 ) . Medical image segmentation automatic quality control: a multi-dimensional approach . Medical Image Analysis

Rauseo E, Lockhart L, Paiva JM, Fung K, Khanji MY, Raisi-Estabragh Z, Amir-Khalili A, Petersen ( 2021 ) . Automated myocardial segmentation in native t1-mapping cardiovascular magnetic resonance images based on machine learning: a validation study in the UK biobank"s covid-19 subset . Presented at: EuroCMR 2021 ,

Raisi-Estabragh Z, McCracken C, Cooper J, Fung K, Paiva J, Khanji M, Rauseo E, Biasiolli L et al. ( 2021 ) . Adverse cardiovascular magnetic resonance phenotypes are associated with greater likelihood of incident coronavirus disease 2019: Findings from the UK Biobank . Aging Clinical and Experimental Research

Omer M, Amir-Khalili A, Sojoudi A, Le TT, Cook SA, Toh DF, Bryant J, Chin C et al. ( 2021 ) . Assessing automated CMR contouring algorithms using systematic contour quality scoring analysis . European Heart Journal - Cardiovascular Imaging . vol. 22 ,

Gagliardi I, Bruni T, Rauseo E, Paravati V, Barilla F, Torromeo C, Pannarale G, Greco C et al. ( 2016 ) . EFFICACY AND SAFETY OF THE NOVEL ORAL ANTICOAGULANTS COMPARED TO WARFARIN IN PATIENTS WITH NON VALVULAR ATRIAL FIBRILLATION . Journal of the American College of Cardiology . vol. 67 ,

Rauseo E, Salih A, Petersen SE, Lee AM . A Review of Evaluation Approaches for Explainable AI With Applications in Cardiology . Artificial Intelligence Review

Rauseo E . Advancing Cardiovascular Disease Characterisation and\nPrognostication Using Machine Learning and Imaging .

Salih A, Galazzo IB, Raisi-Estabragh Z, Rauseo E, Gkontra P, Petersen SE, Lekadir K, Altmann A et al. . Brain Age Estimation at Tract Group Level and its Association with Daily Life Measures, Cardiac Risk Factors and Genetic Variants .

Rauseo E, Salih AM, Cooper J, Abdulkareem M, Banerji CRS, Chadalavada S, Naderi H, Munroe PB et al. . Clinical phenotypes in hypertension: a data-driven approach to risk stratification and outcome prediction .

Salih A, Rauseo E, Galazzo I, Pujadas ER, Campello V, Lekadir K, Aung N, Slabaugh G et al. . Ischemic heart disease and cardiac arrhythmia are associated with increased cardiac aging .

Petersen S, Rauseo E, Salih A, Raisi Estabragh Z, Marshall C, Aung N, Slabaugh G . Ischemic heart disease and vascular risk factors are associated with accelerated brain aging . JACC: Cardiovascular Imaging

Petersen S, Aung N, Khanji M, Rauseo E, Khanji M . Left ventricular trabeculations in cardiac MRI: reference ranges and association with cardiovascular risk factors in UK Biobank . Radiology

Petersen S, Chadalavada S, Aung N, Fung K, Khanji M, Rauseo E, Lee A, Paiva J . Myocardial Strain Measured by Magnetic Resonance Imaging Predicts Cardiovascular Morbidity and Death . Journal of the American College of Cardiology

Petersen S, Aung N, Raisi-Estabragh Z, Rauseo E . New imaging signatures of cardiac alterations in ischaemic heart disease and cerebrovascular disease using CMR radiomics . Frontiers in Cardiovascular Medicine

Rauseo E, Abdulkareem M, Khan A, Cooper J, Lee A, Aung N, Slabaugh GG, Petersen S . Phenotyping Left Ventricular Systolic Dysfunction In Asymptomatic Individuals For Improved Risk Stratification . European Heart Journal - Cardiovascular Imaging

Petersen S, Abdulkareem M, Lee A, Uchegbu I, Rauseo E . Quantification of Epicardial Adipose Tissue Volume and Attenuation for Cardiac CT Scans using Deep Learning in a Single Multi-task Framework . Reviews in Cardiovascular Medicine