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  1. diffct diffct Public

    An CUDA-based library for computed tomography (CT) reconstruction with differentiable operators.

    Python 12

  2. Filter2Noise Filter2Noise Public

    Official code for the paper "Filter2Noise: Interpretable Self-Supervised Single-Image Denoising for Low-Dose CT with Attention-Guided Bilateral Filtering"

    Python 14 3

  3. Eagle_Loss Eagle_Loss Public

    Official code for the paper "EAGLE: An Edge-Aware Gradient Localization Enhanced Loss for CT Image Reconstruction".

    Python 36 4

  4. Trainable-Fourier-Series Trainable-Fourier-Series Public

    Official Code for the paper "Data-Driven Filter Design in FBP: Transforming CT Reconstruction with Trainable Fourier Series".

    Python 7 1

  5. AutoCitation AutoCitation Public

    An LLM agent that helps you find real citations for your content.

    Python 24 4

  6. convnext_perceptual_loss convnext_perceptual_loss Public

    This package introduces a perceptual loss implementation based on the modern ConvNeXt architecture.

    Python 22