
Initial release of the Wavelet-Guided Convolutional Autoencoder (WGCAE) medical image compression framework. This repository includes: • data preprocessing scripts • WGCAE training pipeline • PSNR and SSIM evaluation metrics • statistical significance testing • automatic reproduction of Table 1 results • one-click experiment pipeline Run the full experiment using: python run_full_experiment_fixed.py
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
