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Quality Control-Driven Image Segmentation Towards Reliable Automatic Image Analysis in Large-Scale Cardiovascular Magnetic Resonance Aortic Cine Imaging.

, , , , , , , , , , , , , , , , , , and . MICCAI (2), volume 11765 of Lecture Notes in Computer Science, page 750-758. Springer, (2019)

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Total Mapping Toolbox (TOMATO): An open source library for cardiac magnetic resonance parametric mapping., , , , , , , , , and 3 other author(s). SoftwareX, (2020)Deep neural network ensemble for on-the-fly quality control-driven segmentation of cardiac MRI T1 mapping., , , , , , , and . Medical Image Anal., (2021)Ensemble of Deep Convolutional Neural Networks with Monte Carlo Dropout Sampling for Automated Image Segmentation Quality Control and Robust Deep Learning Using Small Datasets., , , , , and . MIUA, volume 12722 of Lecture Notes in Computer Science, page 280-293. Springer, (2021)Quality Control-Driven Image Segmentation Towards Reliable Automatic Image Analysis in Large-Scale Cardiovascular Magnetic Resonance Aortic Cine Imaging., , , , , , , , , and 9 other author(s). MICCAI (2), volume 11765 of Lecture Notes in Computer Science, page 750-758. Springer, (2019)Deep ensemble learning-based quality control for automatic segmentation in cardiovascular magnetic resonance imaging.. University of Oxford, UK, (2020)British Library, EThOS.Deep learning with attention supervision for automated motion artefact detection in quality control of cardiac T1-mapping., , , , , , , , and . Artif. Intell. Medicine, (2020)