Publications: DR Elisa Rauseo

Rauseo E, Bevis L, Chen X, Petersen SE, Mathur A, Slabaugh GG, Roney CH ( 2026 ) . Understanding the mechanisms of TAVI durability through computational modelling: a multidisciplinary review . European Heart Journal - Digital Health vol. 7 , ( 2 )

Naderi H, van Duijvenboden S, Ramírez J, Chadalavada S, Rauseo E, Aung N, Petersen SE, Munroe PB ( 2026 ) . Cardiac magnetic resonance characteristics and prognostic associations of hypertension-mediated left ventricular hypertrophy . European Heart Journal - Imaging Methods and Practice vol. 4 , ( 1 )

Cheng F, Tonko J, Rauseo E, Biniam Misghina S, Edgar Lopez Barrera C, Nemaire M, Vigmond E, Slabaugh G et al. . A Novel Ventricular Digital Twin: Modeling Transmural Scar Heterogeneity and Purkinje–Myocardial Junction . 2016 Computing in Cardiology Conference (CinC) . Conference: 2025 Computing in Cardiology Conference (CinC) vol. 52 ,

Bevis L, Karabelas E, Rauseo E, Khan Rayabat Khan A, Chen X, Burns R, Patel K, Bhatti Y et al. . A Standardised Pipeline for Patient-Specific Aortic Flow Modelling: Turbulent Flow Patterns in Transcatheter Aortic Valve Implantation Therapy . 2016 Computing in Cardiology Conference (CinC) . Conference: 2025 Computing in Cardiology Conference (CinC) vol. 52 ,

Biniam Misghina S, М. Zolotarev A, Rauseo E, Edgar Lopez Barrera C, Niederer S, Slabaugh G, Plank G, Aung N et al. . Towards Personalised Therapy in Atrial Fibrillation: The Role of Patient-Specific Fibrosis . 2016 Computing in Cardiology Conference (CinC) . Conference: 2025 Computing in Cardiology Conference (CinC) vol. 52 ,

Rauseo E, Salih AM, Cooper J, Abdulkareem M, Banerji CRS, Chadalavada S, Naderi H, Munroe PB et al. ( 2025 ) . Clinical Phenotypes in Hypertension: A Data-Driven Approach to Risk Stratification . Hypertension

Misghina S, Zolotarev A, Rauseo E, Barrera CE, Niederer SA, Slabaugh G, Plank G, Vigmond EJ et al. ( 2025 ) . In-silico insights into the role of patient-specific fibrosis in personalised therapy selection for atrial fibrillation . European Heart Journal vol. 46 , ( Supplement_1 )

Cheng F, Tonko J, Rauseo E, Misghina SB, Barrera CE, Vigmond EJ, Slabaugh G, Aung N et al. ( 2025 ) . The role of purkinje fibres in ventricular tachycardia susceptibility & dynamics: a biventricular digital twin study . European Heart Journal vol. 46 , ( Supplement_1 )

Chadalavada S, Salih A, Naderi H, Rauseo E, Cooper J, Duijvenboden SV, Chahal AA, Dabbagh GS et al. ( 2025 ) . Prospective electrocardiographic and cardiovascular magnetic resonance alterations in the UK Biobank coronavirus disease 2019 repeat imaging study . Journal of Cardiovascular Magnetic Resonance vol. 27 , ( 2 )

Misghina SB, Rauseo E, López-Barrera CE, Vigmond EJ, Slabaugh G, Aung N, Petersen SE, Munroe PB et al. ( 2025 ) . Advancing personalised treatment selection for atrial fibrillation: An in silico approach . Journal of Pharmacological and Toxicological Methods vol. 135 ,

Rauseo E, Salih A, Morcillo CI, Gkontra P, Aung N, Slabaugh GG, Lekadir K, Petersen SE ( 2025 ) . 6-017 Cardiac and cerebral ischaemic diseases: how vascular risk factors shape shared cardiac radiomics features . Conference: Imaginga190 - a191 .

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 )

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, Biniam Misghina S, Rauseo E, Edgar Lopez Barrera C, Plank G, Vigmond E, Loewe A, Karabelas E et al. . Development of a User-Friendly Pipeline for Constructing Atrial Models at Scale: Importance of the End-User for Clinical Uptake . 2016 Computing in Cardiology Conference (CinC) . Conference: 2024 Computing in Cardiology Conference (CinC) vol. 51 ,

Aung N, Nicholls HL, Chahal CAA, Khanji MY, Rauseo E, Chadalavada S, Petersen SE, Munroe PB et al. ( 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 . vol. 45 ,

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 . vol. 45 ,

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 . vol. 45 ,

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 )

Salih AM, Galazzo IB, Gkontra P, Rauseo E, Lee AM, Lekadir K, Radeva P, Petersen SE et al. ( 2024 ) . A review of evaluation approaches for explainable AI with applications in cardiology . Artificial Intelligence Review vol. 57 , ( 9 )

Chadalavada S, Fung K, Rauseo E, Lee AM, Khanji MY, Amir-Khalili A, Paiva J, Naderi H et al. ( 2024 ) . Myocardial Strain Measured by Cardiac Magnetic Resonance Predicts Cardiovascular Morbidity and Death . Journal of the American College of Cardiology vol. 84 , ( 7 ) 648 - 659 .

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 .

Aung N, Bartoli A, Rauseo E, Cortaredona S, Sanghvi MM, Fournel J, Ghattas B, Khanji MY et al. ( 2024 ) . Left Ventricular Trabeculations at Cardiac MRI: Reference Ranges and Association with Cardiovascular Risk Factors in UK Biobank . Radiology vol. 311 , ( 1 )

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 ,

Rauseo E, Abdulkareem M, Khan A, Cooper J, Lee AM, Aung N, Slabaugh GG, Petersen SE ( 2023 ) . Phenotyping left ventricular systolic dysfunction in asymptomatic individuals for improved risk stratification . European Heart Journal - Cardiovascular Imaging vol. 24 , ( 10 ) 1363 - 1373 .

Rauseo E, Salih A, Raisi-Estabragh Z, Aung N, Khanderia N, Slabaugh GG, Marshall CR, Neubauer S et al. ( 2023 ) . Ischemic Heart Disease and Vascular Risk Factors Are Associated With Accelerated Brain Aging . JACC Cardiovascular Imaging vol. 16 , ( 7 ) 905 - 915 .

Abdulkareem M, Brahier MS, Zou F, Rauseo E, Uchegbu I, Taylor A, Thomaides A, Bergquist PJ et al. ( 2022 ) . 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 vol. 23 , ( 12 )

Zugwitz D, Fung K, Aung N, Rauseo E, McCracken C, Cooper J, Messaoudi SE, Anderson RH et al. ( 2022 ) . Mitral Annular Disjunction Assessed Using CMR Imaging Insights From the UK Biobank Population Study . JACC Cardiovascular Imaging vol. 15 , ( 11 ) 1856 - 1866 .

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 ,

Salih A, Boscolo Galazzo I, Raisi-Estabragh Z, Rauseo E, Gkontra P, Petersen SE, Lekadir K, Altmann A et al. ( 2021 ) . Brain age estimation at tract group level and its association with daily life measures, cardiac risk factors and genetic variants . Scientific Reports vol. 11 , ( 1 )

Rauseo E, Morcillo CI, Raisi-Estabragh Z, Gkontra P, Aung N, Lekadir K, Petersen SE ( 2021 ) . New Imaging Signatures of Cardiac Alterations in Ischaemic Heart Disease and Cerebrovascular Disease Using CMR Radiomics . Frontiers in Cardiovascular Medicine vol. 8 ,

Fournel J, Bartoli A, Bendahan D, Guye M, Bernard M, Rauseo E, Khanji MY, Petersen SE et al. ( 2021 ) . Medical image segmentation automatic quality control: A multi-dimensional approach . Medical Image Analysis vol. 74 ,

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 JM, Khanji MY, 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 vol. 33 , ( 4 ) 1133 - 1144 .

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 ,

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 .