Search Results for author:
Found 4 papers, 2 papers with code
SDF4CHD: Generative Modeling of Cardiac Anatomies with Congenital Heart Defects
Our approach has the potential to augment the image-segmentation pairs for rarer CHD types for cardiac segmentation and generate cohorts of CHD cardiac meshes for computational simulation.
Rapid model-guided design of organ-scale synthetic vasculature for biomanufacturing
We demonstrate rapid generation, simulation, and 3D printing of synthetic vasculature in complex geometries, from small tissue constructs to organ scale networks.
Geometric Uncertainty in Patient-Specific Cardiovascular Modeling with Convolutional Dropout Networks
We propose a novel approach to generate samples from the conditional distribution of patient-specific cardiovascular models given a clinically aquired image volume.
Dense Volume-to-Volume Vascular Boundary Detection
In this work, we present a novel 3D-Convolutional Neural Network (CNN) architecture called I2I-3D that predicts boundary location in volumetric data.
