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Automatic image-based tracking of gadolinium-filled balloon wedge catheters for MRI-guided cardiac catheterization using deep learning.

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第一作者： Alexander Paul,Neofytou

第一单位： School of Biomedical Engineering and Imaging Sciences, Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom.

作者： Alexander Paul,Neofytou ^[1] ; Grzegorz Tomasz,Kowalik ^[1] ; Rohini,Vidya Shankar ^[1] ; Li,Huang ^[1] ; Tracy,Moon ^[2] ; Nina,Mellor ^[2] ; Reza,Razavi ^[1] ; Radhouene,Neji ^[3] ; Kuberan,Pushparajah ^[4] ; Sébastien,Roujol ^[1]

作者单位： School of Biomedical Engineering and Imaging Sciences, Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom. ^[1] Department of Paediatric Cardiology, Evelina London Children's Hospital, London, United Kingdom. ^[2] School of Biomedical Engineering and Imaging Sciences, Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom.;MR Research Collaborations, Siemens Healthcare Limited, Camberley, United Kingdom. ^[3] School of Biomedical Engineering and Imaging Sciences, Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom.;Department of Paediatric Cardiology, Evelina London Children's Hospital, London, United Kingdom. ^[4]

关键词 AI MRI-guidance cardiac catheterization device tracking real-time

DOI 10.3389/fcvm.2023.1233093

PMID 37745095

发布时间 2023-09-26

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Automatic image-based tracking of gadolinium-filled balloon wedge catheters for MRI-guided cardiac catheterization using deep learning.

Frontiers in cardiovascular medicine

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Automatic image-based tracking of gadolinium-filled balloon wedge catheters for MRI-guided cardiac catheterization using deep learning.

Frontiers in cardiovascular medicine

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Frontiers in cardiovascular medicine

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