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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.
Deep Learning based Super-Resolution for Medical Volume Visualization with Direct Volume Rendering
Modern-day display systems demand high-quality rendering.
Robust and fully automated segmentation of mandible from CT scans
Mandible bone segmentation from computed tomography (CT) scans is challenging due to mandible's structural irregularities, complex shape patterns, and lack of contrast in joints.
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