DeepCor-Denoising
A deep-learning based fMRI denoising tool using Contrastive Variational Autoencoders (CVAEs).
A deep-learning based fMRI denoising tool using Contrastive Variational Autoencoders (CVAEs).
DeepCor is a state-of-the-art fMRI denoising tool designed to enhance the quality of task-based and resting-state fMRI data. By leveraging Contrastive Variational Autoencoders (CVAEs), DeepCor effectively separates neural signals from noise, providing researchers with cleaner data for more accurate analysis.
Based on the CVAE architecture (Abid & Zou, 2019), DeepCor represents a significant step forward in neuroimaging data preprocessing.
The latest version of DeepCor is available as a Python toolbox. It supports GPU acceleration for faster processing.
Try DeepCor immediately without local installation using our Google Colab notebook. Ideal for testing and small datasets.
Access the original research code used in our initial publications. Useful for reproducibility.
