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High-Resolution Maps of Left Atrial Displacements and Strains Estimated with 3D CINE MRI and Unsupervised Neural Networks

• Authors : Galazis, Christoforos; Shepperd, Samuel; Brouwer, Emma

Subjects: Computer Science - Computer Vision and Pattern Recognition; Computer Science - Artificial Intelligence

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Physics-informed self-supervised deep learning reconstruction for accelerated first-pass perfusion cardiac MRI

• Authors : Martín-González, Elena; Alskaf, Ebraham; Chiribiri, Amedeo

Subjects: Electrical Engineering and Systems Science - Image and Video Processing; Computer Science - Machine Learning; Physics - Medical Physics

• Source: In: Machine Learning for Medical Image Reconstruction. MLMIR 2021. Lecture Notes in Computer Science, vol 12964. Springer, Cham (2021)

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Machine learning outcome prediction using stress perfusion cardiac magnetic resonance reports and natural language processing of electronic health records

• Authors : Alskaf, Ebraham; Frey, Simon M.; Scannell, Cian M.

Subjects: Cardiac magnetic resonance; Coronary artery disease; Electronic health records

• Source: Alskaf , E , Frey , S M , Scannell , C M , Suinesiaputra , A , Vilic , D , Dinu , V , Masci , P G , Perera , D , Young , A & Chiribiri , A 2024 , ' Machine learning

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High-resolution quantification of stress perfusion defects by cardiac magnetic resonance

• Authors : Scannell, Cian M; Crawley, Richard; Alskaf, Ebraham

• Source: European Heart Journal - Imaging Methods and Practice ; ISSN 2755-9637

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Left atrial ejection fraction estimation using SEGANet for fully automated segmentation of CINE MRI

• Authors : Lourenço, Ana; Kerfoot, Eric; Dibblin, Connor

Subjects: Electrical Engineering and Systems Science - Image and Video Processing

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AI-AIF: artificial intelligence-based arterial input function for quantitative stress perfusion cardiac magnetic resonance

• Authors : Scannell, Cian; Alskaf, Ebraham; Sharrack, Noor

Subjects: Arterial input function; Artificial intelligence; Cardiac magnetic resonance

• Source: Scannell , C , Alskaf , E , Sharrack , N , Rezavi , R , Ourselin , S , Young , A , Plein , S & Chiribiri , A 2023 , ' AI-AIF: artificial intelligence-based arterial

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High-Resolution Free-Breathing Quantitative First-Pass Perfusion Cardiac MR Using Dual-Echo Dixon With Spatio-Temporal Acceleration

• Authors : Tourais, Joao; Scannell, Cian M.; Schneider, Torben

Subjects: myocardial perfusion; high-resolution; free-breathing

• Source: Frontiers in Cardiovascular Medicine. 9

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The deep SECRET to accelerated first-pass perfusion cardiac MRI

• Authors : Martín-González, Elena; Alskaf, Ebraham; Chiribiri, Amedeo

Subjects: cardiovascular MR; deep learning; image reconstruction

• Source: International Society for Magnetic Resonance in Medicine 2022 299

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Brief Research Report: Quantitative Analysis of Potential Coronary Microvascular Disease in Suspected Long-COVID Syndrome

• Authors : Doeblin, Patrick; Steinbeis, Fridolin; Scannell, Cian M. ...

Subjects: Cardiology and Cardiovascular Medicine

• Source: Frontiers in Cardiovascular Medicine ; volume 9 ; ISSN 2297-055X

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Deep learning applications in myocardial perfusion imaging, a systematic review and meta-analysis

• Authors : Alskaf, Ebraham; Dutta, Utkarsh; Scannell, Cian M.

Subjects: Cardiac magnetic resonance; Coronary artery disease; Deep learning

• Source: Alskaf , E , Dutta , U , Scannell , C M & Chiribiri , A 2022 , ' Deep learning applications in myocardial perfusion imaging, a systematic review and meta-analysis ' ,

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