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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)

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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)MULTI-X, a State-of-the-Art Cloud-Based Ecosystem for Biomedical Research., , , and . BIBM, page 1726-1733. IEEE Computer Society, (2018)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)Automatic Assessment of Full Left Ventricular Coverage in Cardiac Cine Magnetic Resonance Imaging with Fisher-Discriminative 3D CNN., , , , , , , and . CoRR, (2018)Effect of Statistically Derived Fiber Models on the Estimation of Cardiac Electrical Activation., , , , , and . IEEE Trans. Biomed. Eng., 61 (11): 2740-2748 (2014)Multi-Input and Dataset-Invariant Adversarial Learning (MDAL) for Left and Right-Ventricular Coverage Estimation in Cardiac MRI., , , , , and . MICCAI (2), volume 11071 of Lecture Notes in Computer Science, page 481-489. Springer, (2018)Reusability of Statistical Shape Models for the Segmentation of Severely Abnormal Hearts., , , , , , and . STACOM, volume 8896 of Lecture Notes in Computer Science, page 257-264. Springer, (2014)Automatic Initialization and Quality Control of Large-Scale Cardiac MRI Segmentations., , , , , and . Med Image Anal., (January 2018)