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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. Rauseo E, et al. Front Cardiovasc Med. 2022 Feb 15;8:816985. doi: 10.3389/fcvm.2021.816985. eCollection 2021. Front Cardiovasc Med. 2022. PMID: 35242820 Free PMC article.
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. Raisi-Estabragh Z, et al. Among authors: rauseo e. Aging Clin Exp Res. 2021 Apr;33(4):1133-1144. doi: 10.1007/s40520-021-01808-z. Epub 2021 Mar 8. Aging Clin Exp Res. 2021. PMID: 33683678 Free PMC article.
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. Abdulkareem M, et al. Among authors: rauseo e. Front Cardiovasc Med. 2022 Jul 27;9:894503. doi: 10.3389/fcvm.2022.894503. eCollection 2022. Front Cardiovasc Med. 2022. PMID: 36051279 Free PMC article.