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Subkash2206 / spectral-aliasing-cnns

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A spectral analysis framework for studying aliasing in strided CNNs. Defines the Alias Violation Ratio (AVR) and Shift Instability Score (SIS) to quantify Nyquist violations and their relationship to prediction instability.

computer-vision deep-learning signal-processing pytorch resnet convolutional-neural-networks spectral-analysis frequency-analysis fourier-transform anti-aliasing aliasing nyquist-theorem shift-invariance blurpool
  • Updated Mar 16, 2026
  • Python

Subkash2206 / aliasing-tumor-boundaries

Star 2

Quantifying Nyquist-Shannon violations in CNN segmentation encoders and recovering clinical tumor boundary precision (+17.1% BF1) using BlurPool anti-aliasing. Statistically validated on BraTS 2021 with ResNet, VGG, and EfficientNet backbones. Pearson r = -0.865.

computer-vision deep-learning signal-processing pytorch medical-imaging resnet-50 brain-tumor-segmentation monai brats2021 boundary-f1 blurpool spectral-aliasing nyquist-shannon
  • Updated Mar 31, 2026
  • Python

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