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Prediction of inappropriate pre-hospital transfer of patients with suspected cardiovascular emergency diseases using machine learning: a retrospective observational study.

, , , , , и . BMC Medical Informatics Decis. Mak., 23 (1): 56 (декабря 2023)

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Accelerated Cardiac Diffusion Tensor Imaging Using Joint Low-Rank and Sparsity Constraints., , , , , , , и . IEEE Trans. Biomed. Eng., 65 (10): 2219-2230 (2018)Deep Learning Cross-Phase Style Transfer for Motion Artifact Correction in Coronary Computed Tomography Angiography., , , , и . IEEE Access, (2020)Geodesic Distance Algorithm for Extracting the Ascending Aorta from 3D CT Images., , , , , и . Comput. Math. Methods Medicine, (2016)Prediction of inappropriate pre-hospital transfer of patients with suspected cardiovascular emergency diseases using machine learning: a retrospective observational study., , , , , и . BMC Medical Informatics Decis. Mak., 23 (1): 56 (декабря 2023)Coronary luminal and wall mask prediction using convolutional neural network., , , , , , , , , и . ISBI, стр. 1049-1052. IEEE, (2017)Generative adversarial network with radiomic feature reproducibility analysis for computed tomography denoising., , , , , , , , , и . Comput. Biol. Medicine, (июня 2023)Nonrigid 2D registration of fluoroscopic coronary artery image sequence with propagated deformation field., , , , , и . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, том 10137 из SPIE Proceedings, стр. 101371W. SPIE, (2017)Fully Automatic Segmentation of Coronary Arteries Based on Deep Neural Network in Intravascular Ultrasound Images., , , , , и . CVII-STENT/LABELS@MICCAI, том 11043 из Lecture Notes in Computer Science, стр. 161-168. Springer, (2018)Automatic Segmentation of LV and RV in Cardiac MRI., , , , и . STACOM@MICCAI, том 10663 из Lecture Notes in Computer Science, стр. 161-169. Springer, (2017)Deep Learning on Multiphysical Features and Hemodynamic Modeling for Abdominal Aortic Aneurysm Growth Prediction., , , , , , и . IEEE Trans. Medical Imaging, 42 (1): 196-208 (2023)