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EEG
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Electroencephalography epilepsy
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Channel-Imposed Fusion: A Simple yet Effective Method for Medical Time Series Classification
Neuro2Semantic: A Transfer Learning Framework for Semantic Reconstruction of Continuous Language from Human Intracranial EEG
M3ANet: Multi-scale and Multi-Modal Alignment Network for Brain-Assisted Target Speaker Extraction
Getting More from Less: Transfer Learning Improves Sleep Stage Decoding Accuracy in Peripheral Wearable Devices
Category-aware EEG image generation based on wavelet transform and contrast semantic loss
From Theory to Application: Fine-Tuning Large EEG Model with Real-World Stress Data
EAD: An EEG Adapter for Automated Classification
Dual-Task Graph Neural Network for Joint Seizure Onset Zone Localization and Outcome Prediction using Stereo EEG
The Study of Human Preference Based on Integrated Analysis of N1 and LPP Components
A Feasibility Study of Task-Based fMRI at 0.55 T
Capturing Aperiodic Temporal Dynamics of EEG Signals through Stochastic Fluctuation Modeling
Multi-Modal Spectral Parametrization Method (MMSPM) for analyzing EEG activity with distinct scaling regimes
Advancing Brainwave Modeling with a Codebook-Based Foundation Model
Study of Brain Connectivity by Multichannel EEG Quaternion Principal Component Analysis for Alzheimer Disease Classification
EEG-Based Inter-Patient Epileptic Seizure Detection Combining Domain Adversarial Training with CNN-BiLSTM Network
Multi-modal Integration Analysis of Alzheimer's Disease Using Large Language Models and Knowledge Graphs
EEG-to-Text Translation: A Model for Deciphering Human Brain Activity
QSVM-QNN: Quantum Support Vector Machine Based Quantum Neural Network Learning Algorithm for Brain-Computer Interfacing Systems
A Direct Comparison of Simultaneously Recorded Scalp, Around-Ear, and In-Ear EEG for Neural Selective Auditory Attention Decoding to Speech
Riemannian Flow Matching for Brain Connectivity Matrices via Pullback Geometry
The role of data partitioning on the performance of EEG-based deep learning models in supervised cross-subject analysis: a preliminary study
SzCORE as a benchmark: report from the seizure detection challenge at the 2025 AI in Epilepsy and Neurological Disorders Conference
ViEEG: Hierarchical Neural Coding with Cross-Modal Progressive Enhancement for EEG-Based Visual Decoding
BrainOmni: A Brain Foundation Model for Unified EEG and MEG Signals
Bridging BCI and Communications: A MIMO Framework for EEG-to-ECoG Wireless Channel Modeling
Covariance Density Neural Networks
Spec2VolCAMU-Net: A Spectrogram-to-Volume Model for EEG-to-fMRI Reconstruction based on Multi-directional Time-Frequency Convolutional Attention Encoder and Vision-Mamba U-Net
Evaluation in EEG Emotion Recognition: State-of-the-Art Review and Unified Framework
Addressing the Current Challenges of Quantum Machine Learning through Multi-Chip Ensembles
Robust Emotion Recognition via Bi-Level Self-Supervised Continual Learning
Automatic detection of abnormal clinical EEG: comparison of a finetuned foundation model with two deep learning models
Domain-Adversarial Anatomical Graph Networks for Cross-User Human Activity Recognition
ALFEE: Adaptive Large Foundation Model for EEG Representation
A brain-inspired generative model for EEG-based cognitive state identification
A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.