SOTAVerified

Seizure prediction

Papers

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Showing 1–50 of 57 papers

TitleStatusHype
Attention-based Graph ResNet for Motor Intent Detection from Raw EEG signalsCode2
Seizure Detection and Prediction by Parallel Memristive Convolutional Neural NetworksCode1
Interpretable EEG seizure prediction using a multiobjective evolutionary algorithmCode1
Searching for waveforms on spatially-filtered epileptic ECoGCode0
A library of quantitative markers of seizure severityCode0
Predicting epileptic seizures using nonnegative matrix factorizationCode0
A personalized and evolutionary algorithm for interpretable EEG epilepsy seizure predictionCode0
Learning Optimized Risk ScoresCode0
SlimSeiz: Efficient Channel-Adaptive Seizure Prediction Using a Mamba-Enhanced NetworkCode0
C^2SP-Net: Joint Compression and Classification Network for Epilepsy Seizure Prediction—0
Cloud-based Deep Learning of Big EEG Data for Epileptic Seizure Prediction—0
Coherent False Seizure Prediction in Epilepsy, Coincidence or Providence?—0
Comparative Analysis of Epileptic Seizure Prediction: Exploring Diverse Pre-Processing Techniques and Machine Learning Models—0
Convolutional Neural Networks for Epileptic Seizure Prediction—0
Data Augmentation for Seizure Prediction with Generative Diffusion Model—0
Online Learning Koopman operator for closed-loop electrical neurostimulation in epilepsy—0
Demo: Multi-Modal Seizure Prediction System—0
Developing Quantum Annealer Driven Data Discovery—0
EEG-Based Epileptic Seizure Prediction Using Temporal Multi-Channel Transformers—0
Epilepsy Seizure Detection and Prediction using an Approximate Spiking Convolutional Transformer—0
Epileptic Seizure Prediction: A Semi-Dilated Convolutional Neural Network Architecture—0
Epileptic seizure prediction using Pearson's product-moment correlation coefficient of a linear classifier from generalized Gaussian modeling—0
Epileptic Seizure Risk Assessment by Multi-Channel Imaging of the EEG—0
EpilNet: A Novel Approach to IoT based Epileptic Seizure Prediction and Diagnosis System using Artificial Intelligence—0
Focal onset seizure prediction using convolutional networks—0
Future-Guided Learning: A Predictive Approach To Enhance Time-Series Forecasting—0
Human Intracranial EEG Quantitative Analysis and Automatic Feature Learning for Epileptic Seizure Prediction—0
Machine Learning for Predicting Epileptic Seizures Using EEG Signals: A Review—0
Multi-Channel Vision Transformer for Epileptic Seizure Prediction—0
Multi-classification of High-Frequency Oscillations Using iEEG Signals and Deep Learning Models—0
Path Signatures for Seizure Forecasting—0
Patient-independent Epileptic Seizure Prediction using Deep Learning Models—0
Patient-Specific Seizure Prediction Using Single Seizure Electroencephalography Recording—0
Preictal Period Optimization for Deep Learning-Based Epileptic Seizure Prediction—0
Pre-Ictal Seizure Prediction Using Personalized Deep Learning—0
Random Forest classifier for EEG-based seizure prediction—0
RRAM-Based Bio-Inspired Circuits for Mobile Epileptic Correlation Extraction and Seizure Prediction—0
SeizNet: An AI-enabled Implantable Sensor Network System for Seizure Prediction—0
Seizure Prediction Using Bidirectional LSTM—0
Seizure prediction with long-term iEEG recordings: What can we learn from data nonstationarity?—0
Time series segmentation for recognition of epileptiform patterns recorded via Microelectrode Arrays in vitro—0
Semi-supervised Seizure Prediction with Generative Adversarial Networks—0
Shift-invariant waveform learning on epileptic ECoG—0
SPIRIT: Low Power Seizure Prediction using Unsupervised Online-Learning and Zoom Analog Frontends—0
SplitSEE: A Splittable Self-supervised Framework for Single-Channel EEG Representation Learning—0
Supervised and Unsupervised Deep Learning Approaches for EEG Seizure Prediction—0
Time Scale Network: A Shallow Neural Network For Time Series Data—0
A Generalised Seizure Prediction with Convolutional Neural Networks for Intracranial and Scalp Electroencephalogram Data Analysis—0
Unveiling Intractable Epileptogenic Brain Networks with Deep Learning Algorithms: A Novel and Comprehensive Framework for Scalable Seizure Prediction with Unimodal Neuroimaging Data in Pediatric Patients—0
A Generative Model to Synthesize EEG Data for Epileptic Seizure Prediction—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CNN+FCNAUC0.84—Unverified
2CNNAUC0.59—Unverified