computational-pathology-pipeline
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Updated
Mar 15, 2024 - Python
computational-pathology-pipeline
JPEG artifacts removal based on quantization coefficients.
Algorithms and evaluation toolkit for removing strong cardiac interference from surface EMG measurements
Python port of the PARRM algorithm for removing periodic artefacts from signals.
sharing code and data for artifact removal in EEG
Periodic artifact removal algorithms that can remove periodic artifacts in the presence of unknown phase shifts and with applications to deep brain stimulation.
Python modules for removal of periodic artifacts, even when non-stationary and non-sinusoidal. Developed with application for tACS-EEG in mind.
Detect EEG artifacts, outliers, or anomalies using supervised machine learning.
Stimulation Artifact Removal
Matlab modules for removal of periodic artifacts, even when non-stationary and non-sinusoidal. Developed with application for tACS-EEG in mind.
MWF-based EEG artifact removal in MATLAB
ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction
A test script for ARCNN powered by PyTorch.
Cross-component video artifact filtering experiment for Vapoursynth.
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