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Manuscripts on this dataset

  1. CMS Manager

    Manuscripts on this dataset, "ds003029"

  2. CMS Manager

    1. 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, 2024, Cited by 0, https://www.researchsquare.com/article/rs-3930495/latest
    2. 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 0, https://www.sciencedirect.com/science/article/pii/S2095809924000419
    3. 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
    4. JM Bernabei, A Li, AY Revell, RJ Smith, Quantitative approaches to guide epilepsy surgery from intracranial EEG, Brain, 2023, Cited by 18, https://academic.oup.com/brain/article-abstract/146/6/2248/6979879
    5. 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 6, https://link.springer.com/article/10.1007/s00034-023-02423-1
    6. 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 4, https://ieeexplore.ieee.org/abstract/document/9904821/
    7. 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 1, https://www.frontiersin.org/journals/neurology/articles/10.3389/fneur.2021.741450
    8. J Berezutskaya, MJ Vansteensel, EJ Aarnoutse, Open multimodal iEEG-fMRI dataset from naturalistic stimulation with a short audiovisual film, Scientific Data, 2022, Cited by 13, https://www.nature.com/articles/s41597-022-01173-0
    9. 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 74, https://www.nature.com/articles/s41593-021-00901-w
    10. 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
    11. J Moreno 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 Refractaria, 2021, Cited by 0, https://bibliotecadigital.udea.edu.co/handle/10495/24312
    12. 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
    13. A Li, C Huynh, Z Fitzgerald, I Cajigas, D Brusko, J Jagid, epilepsy-iEEG-multicenter-dataset (2020), Cited by 3
    14. A Li, S Inati, K Zaghloul, N Crone, W Anderson, Epilepsy-ieeg-multicenter-dataset, Cited by 2

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