Cross-component video artifact filtering experiment for Vapoursynth.
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Updated
Sep 18, 2017 - C
Cross-component video artifact filtering experiment for Vapoursynth.
A test script for ARCNN powered by PyTorch.
ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction
MWF-based EEG artifact removal in MATLAB
Matlab modules for removal of periodic artifacts, even when non-stationary and non-sinusoidal. Developed with application for tACS-EEG in mind.
Stimulation Artifact Removal
Detect EEG artifacts, outliers, or anomalies using supervised machine learning.
Python modules for removal of periodic artifacts, even when non-stationary and non-sinusoidal. Developed with application for tACS-EEG in mind.
Periodic artifact removal algorithms that can remove periodic artifacts in the presence of unknown phase shifts and with applications to deep brain stimulation.
sharing code and data for artifact removal in EEG
Python port of the PARRM algorithm for removing periodic artefacts from signals.
Algorithms and evaluation toolkit for removing strong cardiac interference from surface EMG measurements
JPEG artifacts removal based on quantization coefficients.
computational-pathology-pipeline
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