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Patient Metadata-Constrained Shape Models for Cardiac Image Segmentation.

, , , , , and . STACOM@MICCAI, volume 9534 of Lecture Notes in Computer Science, page 98-107. Springer, (2015)

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Image Quality Assessment for Population Cardiac Magnetic Resonance Imaging., , , , , and . Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, Springer, (2019)3D Cardiac Shape Prediction with Deep Neural Networks: Simultaneous Use of Images and Patient Metadata., , , , , , and . MICCAI (2), volume 11765 of Lecture Notes in Computer Science, page 586-594. Springer, (2019)Enlargement, subdivision and individualization of statistical shape models: Application to 3D medical image segmentation.. Pompeu Fabra University, Spain, (2017)A framework for the merging of pre-existing and correspondenceless 3D statistical shape models., , , , and . Medical Image Anal., 18 (7): 1044-1058 (2014)Statistical Personalization of Ventricular Fiber Orientation Using Shape Predictors., , , , , and . IEEE Trans. Med. Imaging, 33 (4): 882-890 (2014)Automatic Assessment of Full Left Ventricular Coverage in Cardiac Cine Magnetic Resonance Imaging with Fisher-Discriminative 3D CNN., , , , , , , and . CoRR, (2018)An Algorithm for the Segmentation of Highly Abnormal Hearts Using a Generic Statistical Shape Model., , , , , , and . IEEE Trans. Med. Imaging, 35 (3): 845-859 (2016)Missing Slice Imputation in Population CMR Imaging via Conditional Generative Adversarial Nets., , , , , , and . MICCAI (2), volume 11765 of Lecture Notes in Computer Science, page 651-659. Springer, (2019)MULTI-X, a State-of-the-Art Cloud-Based Ecosystem for Biomedical Research., , , and . BIBM, page 1726-1733. IEEE Computer Society, (2018)Accurate Segmentation of Vertebral Bodies and Processes Using Statistical Shape Decomposition and Conditional Models., , , , , and . IEEE Trans. Medical Imaging, 34 (8): 1627-1639 (2015)