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Efficient Neural Representation of Volumetric Data using Coordinate-Based Networks
We compare different encoding schemes and demonstrate the superiority of multi-resolution hash encoding in terms of compression quality and training efficiency.
Reference Based Color Transfer for Medical Volume Rendering
The proposed framework in our research starts with performing color transfer by finding deep semantic correspondence between two medical images: a colored reference image, and a monochromatic CT scan or an MRI image.
Deep Learning based Super-Resolution for Medical Volume Visualization with Direct Volume Rendering
Modern-day display systems demand high-quality rendering.
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