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Enlargement, subdivision and individualization of statistical shape models: Application to 3D medical image segmentation.

. Pompeu Fabra University, Spain, (2017)

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Johannes Marcour

Hans-Ernst Marcolin

Monika Marcotty

Carlos Javier Marcos Navas

Massimiliano Marcon

 

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Image Quality Assessment for Population Cardiac Magnetic Resonance Imaging., , , , , и . Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, Springer, (2019)Enlargement, subdivision and individualization of statistical shape models: Application to 3D medical image segmentation.. Pompeu Fabra University, Spain, (2017)3D Cardiac Shape Prediction with Deep Neural Networks: Simultaneous Use of Images and Patient Metadata., , , , , , и . MICCAI (2), том 11765 из Lecture Notes in Computer Science, стр. 586-594. Springer, (2019)An Algorithm for the Segmentation of Highly Abnormal Hearts Using a Generic Statistical Shape Model., , , , , , и . IEEE Trans. Med. Imaging, 35 (3): 845-859 (2016)Automatic Assessment of Full Left Ventricular Coverage in Cardiac Cine Magnetic Resonance Imaging with Fisher-Discriminative 3D CNN., , , , , , , и . CoRR, (2018)A framework for the merging of pre-existing and correspondenceless 3D statistical shape models., , , , и . Medical Image Anal., 18 (7): 1044-1058 (2014)Statistical Personalization of Ventricular Fiber Orientation Using Shape Predictors., , , , , и . IEEE Trans. Med. Imaging, 33 (4): 882-890 (2014)Missing Slice Imputation in Population CMR Imaging via Conditional Generative Adversarial Nets., , , , , , и . MICCAI (2), том 11765 из Lecture Notes in Computer Science, стр. 651-659. Springer, (2019)MULTI-X, a State-of-the-Art Cloud-Based Ecosystem for Biomedical Research., , , и . BIBM, стр. 1726-1733. IEEE Computer Society, (2018)Effect of Statistically Derived Fiber Models on the Estimation of Cardiac Electrical Activation., , , , , и . IEEE Trans. Biomed. Eng., 61 (11): 2740-2748 (2014)