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Manuscripts on this dataset

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    Manuscripts on this dataset, "ds003029"

  2. CMS Manager

    1. L Ding, Q Zou, J Zhu, Y Wang, Dynamical intracranial EEG functional network controllability localizes the seizure onset zone and predicts the epilepsy surgical outcome, Journal of Neural Engineering, 2025, Cited by 0, https://iopscience.iop.org/article/10.1088/1741-2552/adba8d/meta
    2. AA Díaz-Montiel, R Zhang, M Lankarany, Optimal Graph Representations and Neural Networks for Seizure Detection Using Intracranial EEG Data, medRxiv, 2024, Cited by 0, https://www.medrxiv.org/content/10.1101/2024.12.28.24316703.abstract
    3. X Mootoo, AA Díaz-Montiel, M Lankarany, Stochastic Sparse Sampling: A Framework for Variable-Length Medical Time Series Classification, arXiv preprint arXiv:2410.06412, 2024, Cited by 1, https://arxiv.org/abs/2410.06412
    4. T Yan, M Zhang, H Chen, S Wan, K Shang, H Zhang, EEG opto-processor: epileptic seizure detection using diffractive photonic computing units, Engineering, 2024, Cited by 2, https://www.sciencedirect.com/science/article/pii/S2095809924000419
    5. L Sun, C Feng, E Zhang, H Chen, W Jin, J Zhu, L Yu, High-performance prediction of epilepsy surgical outcomes based on the genetic neural networks and hybrid iEEG marker, Scientific Reports, 2024, Cited by 0, https://www.nature.com/articles/s41598-024-56827-3
    6. SS Balaji, KK Parhi, Seizure onset zone (SOZ) identification using effective brain connectivity of epileptogenic networks, Journal of neural engineering, 2024, Cited by 2, https://iopscience.iop.org/article/10.1088/1741-2552/ad5938/meta
    7. T Yan, M Zhang, H Chen, S Wan, K Shang, 脑电信号光子处理器——基于衍射光子计算单元的癫痫发作检测, Engineering, 2024, Cited by 0, https://www.engineering.org.cn/engi/CN/abstract/abstract38542.shtml
    8. A Li, S Inati, K Zaghloul, N Crone, W Anderson, Epilepsy-ieeg-multicenter-dataset, 2023, Cited by 4, https://scholarship.miami.edu/esploro/outputs/dataset/Epilepsy-iEEG-Multicenter-Dataset/991032185013402976?institution=01UOML_INST
    9. AA Díaz-Montiel, M Lankarany, Graph representations of iEEG data for seizure detection with graph neural networks, bioRxiv, 2023, Cited by 0, https://www.biorxiv.org/content/10.1101/2023.06.02.543277.abstract
    10. JM Bernabei, A Li, AY Revell, RJ Smith, Quantitative approaches to guide epilepsy surgery from intracranial EEG, Brain, 2023, Cited by 57, https://academic.oup.com/brain/article-abstract/146/6/2248/6979879
    11. S Majzoub, A Fahmy, F Sibai, M Diab, Epilepsy detection with multi-channel EEG signals utilizing Alexnet, Circuits, Systems, and Signal Processing, 2023, Cited by 11, https://link.springer.com/article/10.1007/s00034-023-02423-1
    12. M Müller, M Dekkers, R Wiest, K Schindler, More than spikes: on the added value of non-linear intracranial EEG analysis for surgery planning in temporal lobe epilepsy, Frontiers in neurology, 2022, Cited by 3, https://www.frontiersin.org/articles/10.3389/fneur.2021.741450/full
    13. Z Liang, Z Luo, K Liu, J Qiu, Q Liu, Online learning Koopman operator for closed-loop electrical neurostimulation in epilepsy, IEEE Journal of Biomedical and Health Informatics, 2022, Cited by 18, https://ieeexplore.ieee.org/abstract/document/9904821/
    14. J Berezutskaya, MJ Vansteensel, EJ Aarnoutse, Open multimodal iEEG-fMRI dataset from naturalistic stimulation with a short audiovisual film, Scientific Data, 2022, Cited by 29, https://www.nature.com/articles/s41597-022-01173-0
    15. M Fabietti, M Mahmud, A Lotfi, Anomaly detection in invasively recorded neuronal signals using deep neural network: effect of sampling frequency, International Conference on Applied Intelligence and Informatics, 2021, Cited by 8, https://link.springer.com/chapter/10.1007/978-3-030-82269-9_7
    16. A Li, C Huynh, Z Fitzgerald, I Cajigas, D Brusko, Neural fragility as an EEG marker of the seizure onset zone, Nature neuroscience, 2021, Cited by 123, https://www.nature.com/articles/s41593-021-00901-w
    17. JM Rada, Desarrollo de un Flujo de Procesamiento para el Análisis de Oscilaciones de Alta Frecuencia en Señales de EEG para el Apoyo en Cirugía de Epilepsia …, 2021, Cited by 0, https://bibliotecadigital.udea.edu.co/bitstream/10495/24312/1/MorenoJuliana_2021_DesarrolloFlujoProcesamiento.pdf
    18. A Li, Z Fitzgerald, I Cajigas, D Brusko, J Jagid, Nodal Fragility of Intracranial EEG Networks: Towards an EEG Fingerprint for the Epileptogenic Zone, bioRxiv, 2019, Cited by 1, https://www.biorxiv.org/content/biorxiv/early/2021/05/05/862797.full.pdf
    19. X Mootoo, AAD Montiel, M Lankarany, H Tabassum, T-VICReg: Self-Supervised Learning for Time Series with Partial Temporal Invariance, Noncontrastive and Augmentation-Free, Cited by 0, https://xaviermootoo.com/s/T_VICReg-xyjd.pdf
    20. A Li, C Huynh, Z Fitzgerald, I Cajigas, D Brusko, J Jagid, Epilepsy-iEEG-Multicenter-Dataset. 2021, Cited by 3
    21. X Mootoo, AAD Montiel, M Lankarany, Stochastic Sparse Sampling: A Framework for Local Explainability in Variable-Length Medical Time Series, NeurIPS Workshop on Time Series in the Age of Large Models, Cited by 0, https://openreview.net/forum?id=4dpbdz280d

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