mlsanityData to 7 Oct 2026

The Temple University Hospital Seizure Detection Corpus

arXiv 1801.08085 ↗First posted 3 Jan 2018q-bio.QM eess.SP q-bio.NCcited by 80

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Abstract (arXiv)

We introduce the TUH EEG Seizure Corpus (TUSZ), which is the largest open source corpus of its type, and represents an accurate characterization of clinical conditions. In this paper, we describe the techniques used to develop TUSZ, evaluate their effectiveness, and present some descriptive statistics on the resulting corpus.

Key facts. Cited by 80 papers in the map (data through 7 Oct 2026). First posted on arXiv 3 Jan 2018.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 3; 2022: 12; 2023: 7; 2024: 13; 2025: 20; 2026: 25.

80 papers.

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  1. 2021Combining Recurrent, Convolutional, and Continuous-time Models with Linear State-Space Layerscited by 607
  2. 2022Hungry Hungry Hippos: Towards Language Modeling with State Space Modelscited by 495
  3. 2024Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCIcited by 311
  4. 2021Self-Supervised Graph Neural Networks for Improved Electroencephalographic Seizure Analysiscited by 75
  5. 2022Modeling Multivariate Biosignals With Graph Neural Networks and Structured State Space Modelscited by 29
  6. 2022Self-Supervised Learning for Anomalous Channel Detection in EEG Graphs: Application to Seizure Analysiscited by 28
  7. 2023MBrain: A Multi-channel Self-Supervised Learning Framework for Brain Signalscited by 26
  8. 2024Self-supervised Learning for Electroencephalogram: A Systematic Surveycited by 19
  9. 2023Graph Anomaly Detection in Time Series: A Surveycited by 18
  10. 2024SzCORE: A Seizure Community Open-source Research Evaluation framework for the validation of EEG-based automated seizure detection algorithmscited by 16
  11. 2024MedualTime: A Dual-Adapter Language Model for Medical Time Series-Text Multimodal Learningcited by 11
  12. 2024REST: Efficient and Accelerated EEG Seizure Analysis through Residual State Updatescited by 11
38 more
  1. 2025NeurIPT: Foundation Model for Neural Interfacescited by 9
  2. 2022Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Settingcited by 8
  3. 2023Concept-based explainability for an EEG transformer modelcited by 8
  4. 2025EvoBrain: Dynamic Multi-Channel EEG Graph Modeling for Time-Evolving Brain Networkscited by 8
  5. 2025THD-BAR: Topology Hierarchical Derived Brain Autoregressive Modeling for EEG Generic Representationscited by 7
  6. 2024Dynamic GNNs for Precise Seizure Detection and Classification from EEG Datacited by 6
  7. 2024EEG-Language Pretraining for Highly Label-Efficient Clinical Phenotypingcited by 6
  8. 2026LLM as Clinical Graph Structure Refiner: Enhancing Representation Learning in EEG Seizure Diagnosiscited by 6
  9. 2022A Meta-GNN approach to personalized seizure detection and classificationcited by 5
  10. 2026NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfacescited by 5
  11. 2022Avoiding Post-Processing with Event-Based Detection in Biomedical Signalscited by 4
  12. 2022Domain Adaptation and Generalization on Functional Medical Images: A Systematic Surveycited by 4
  13. 2023Towards trustworthy seizure onset detection using workflow notescited by 4
  14. 2025Large Language Models for EEG: A Comprehensive Survey and Taxonomycited by 4
  15. 2025NeuroRVQ: Multi-Scale Biosignal Tokenization for Generative Foundation Modelscited by 4
  16. 2022Low Latency Real-Time Seizure Detection Using Transfer Deep Learningcited by 3
  17. 2022Improving self-supervised pretraining models for epileptic seizure detection from EEG datacited by 3
  18. 2022TRUST-LAPSE: An Explainable and Actionable Mistrust Scoring Framework for Model Monitoringcited by 3
  19. 2023Contaminated Multivariate Time-Series Anomaly Detection with Spatio-Temporal Graph Conditional Diffusion Modelscited by 3
  20. 2023Open-Set Multivariate Time-Series Anomaly Detectioncited by 3
  21. 2024CrossPT-EEG: A Benchmark for Cross-Participant and Cross-Time Generalization of EEG-based Visual Decodingcited by 3
  22. 2025Deep Learning-Powered Electrical Brain Signals Analysis: Advancing Neurological Diagnosticscited by 3
  23. 2025BioSerenity-E1: a self-supervised EEG model for medical applicationscited by 3
  24. 2025SingLEM: Single-Channel Large EEG Modelcited by 3
  25. 2026ODEBrain: Continuous-Time EEG Graph for Modeling Dynamic Brain Networkscited by 3
  26. 2026Optimizing EEG Graph Structure for Seizure Detection: An Information Bottleneck and Self-Supervised Learning Approachcited by 3
  27. 2022Wavelet-Based Multi-Class Seizure Type Classification Systemcited by 2
  28. 2022MP-SeizNet: A Multi-Path CNN Bi-LSTM Network for Seizure-Type Classification Using EEGcited by 2
  29. 2024Multi-Branch Mutual-Distillation Transformer for EEG-Based Seizure Subtype Classificationcited by 2
  30. 2025MedSpaformer: a Transferable Transformer with Multi-granularity Token Sparsification for Medical Time Series Classificationcited by 2
  31. 2025Large EEG-U-Transformer for Time-Step Level Detection Without Pre-Trainingcited by 2
  32. 2025Mentality: A Mamba-based Approach towards Foundation Models for EEGcited by 2
  33. 2025DistilCLIP-EEG: Enhancing Epileptic Seizure Detection Through Multi-modal Learning and Knowledge Distillationcited by 2
  34. 2026KAST-BAR: Knowledge-Anchored Semantically-Dynamic Topology Brain Autoregressive Modeling for Universal Neural Interpretationcited by 2
  35. 2023Brain Age Revisited: Investigating the State vs. Trait Hypotheses of EEG-derived Brain-Age Dynamics with Deep Learningcited by 1
  36. 2024An Unobtrusive and Lightweight Ear-worn System for Continuous Epileptic Seizure Detectioncited by 1
  37. 2025Automated Detection of Epileptic Spikes and Seizures Incorporating a Novel Spatial Clustering Priorcited by 1
  38. 2025Advancing Brainwave Modeling with a Codebook-Based Foundation Modelcited by 1

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