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Research
  1. Queen Mary University of London
  2. Research
  3. Publications

Publications: Dr Elisa Rauseo

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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 ,
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 . 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 . 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 . 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 )
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 )
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
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 ,
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 ,
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