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Motion artifact recognition and quantification in coronary CT angiography using convolutional neural networks.

, , , , , , and . Medical Image Anal., (2019)

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Motion compensated iterative reconstruction of a region of interest in cardiac cone-beam CT., , , , , and . Comput. Medical Imaging Graph., 34 (2): 149-159 (2010)Motion estimation and correction in cardiac CT angiography images using convolutional neural networks., , , , , , and . Comput. Medical Imaging Graph., (2019)Automatic phase point determination for cardiac CT imaging., , , , and . Medical Imaging: Image Processing, volume 5370 of SPIE Proceedings, SPIE, (2004)Deep-learning-based CT motion artifact recognition in coronary arteries., , , , , , and . Medical Imaging: Image Processing, volume 10574 of SPIE Proceedings, page 1057416. SPIE, (2018)3D Reconstruction of Coronary Stents in Vivo Based on Motion Compensated X-Ray Angiograms., , , , , , , , and . MICCAI (2), volume 4191 of Lecture Notes in Computer Science, page 177-184. Springer, (2006)Perfomance of image-intensifier equipped X-ray systems for-three-dimensional imaging., , , , , , , , and . CARS, volume 1256 of International Congress Series, page 187-192. Elsevier, (2003)Abstract: Does Bone Suppression and Lung Detection Improve Chest Disease Classification?, , , , , , , , and . Bildverarbeitung für die Medizin, page 184. Springer Vieweg, (2019)Technology Failure Analysis: Understanding Why A Diabetes Management Tool Developed for A Personal Digital Assistant (PDA) Didn't Work in a Randomized Control Trial., , , , and . AMIA, AMIA, (2003)Motion-Compensated and Gated Cone Beam Filtered Back-Projection for 3-D Rotational X-Ray Angiography., , , and . IEEE Trans. Medical Imaging, 25 (7): 898-906 (2006)Learning metal artifact reduction in cardiac CT images with moving pacemakers., , , , and . Medical Image Anal., (2020)