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Guided Training of NeRFs for Medical Volume Rendering
Neural Radiance Fields (NeRF) trained on pre-rendered photorealistic images represent complex medical data in a fraction of the size, while interactive applications synthesize novel views directly from the neural networks. We demonstrate a practical implementation of NeRFs for high resolution CT volume data, using differentiable rendering for training view selection.
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