ipis-mjkim / caueeg-ceednet
This repository is the official implementation of "Deep learning-based EEG analysis to classify mild cognitive impairment for early detection of dementia: algorithms and benchmarks" from the CNIR (CAU NeuroImaging Research) team.
☆24Updated last year
Alternatives and similar repositories for caueeg-ceednet:
Users that are interested in caueeg-ceednet are comparing it to the libraries listed below
- CAUEEG: Chung-Ang University Hospital EEG dataset for automatic EEG diagnosis research☆18Updated last year
- Package for bimodal training of deep neural networks on neurological data. Pypi: https://pypi.org/project/BiModNeuroCNN/☆11Updated 3 years ago
- code for LMDA☆71Updated last year
- [Sensors 2024] Mental State Recognition by Analyzing Multimodal EEG-fNIRS via CNN☆16Updated 8 months ago
- Official code repository for the paper 'EEGPT: Pretrained Transformer for Universal and Reliable Representation of EEG Signals' [NIPS 202…☆85Updated 4 months ago
- The codes that I implemented during my B.Sc. project.☆22Updated 3 years ago
- Deep learning model for EEG artifact removal☆66Updated 2 years ago
- ☆16Updated last year
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆65Updated 7 months ago
- Deep Learning pipeline for motor-imagery classification.☆59Updated 3 years ago
- EEGdenoiseNet, a benchmark dataset, that is suited for training and testing deep learning-based EEG denoising models, as well as for comp…☆180Updated last year
- NeurIPS2023 - A generic biosignal learning framework. Large EEG pre-trained models.☆105Updated last year
- Using Stable Diffusion on the DEAP Dataset to argument new data and improve classification☆19Updated last year
- [Arxiv] NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep Stage Classification Using Single-Channel EEG☆47Updated 2 weeks ago
- JMIR AI'23: EEG dataset processing and EEG Self-supervised Learning☆44Updated last year
- Towards Domain Free Transformer for Generalized EEG Pre-training☆26Updated last year
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆35Updated last year
- Pytorch implementation of EEGNet.☆44Updated 2 years ago
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆41Updated 3 months ago
- KDD24 - EEG2Rep: Enhancing Self-supervised EEG Representation Through Informative Masked Inputs☆53Updated 3 weeks ago
- [ACM MM 2023] Multimodal Adaptive Emotion Transformer with Flexible Modality Inputs on A Novel Dataset with Continuous Labels☆40Updated 4 months ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆61Updated 3 months ago
- ☆70Updated 3 months ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆121Updated last year
- ☆33Updated last year
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆41Updated 2 years ago
- EEG-Based Emotion Recognition☆47Updated 8 months ago
- ☆28Updated 7 months ago
- ☆14Updated 4 months ago
- MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding☆23Updated 5 months ago