Geometric Uncertainty in Patient-Specific Cardiovascular Modeling with Convolutional Dropout Networks
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We propose a novel approach to generate samples from the conditional distribution of patient-specific cardiovascular models given a clinically aquired image volume. A convolutional neural network architecture with dropout layers is first trained for vessel lum... ...
