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Manuscripts on this dataset

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    Manuscripts on this dataset, "ds004100"
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    1. Z Yu, B Yang, P Wei, H Xu, Y Shan, X Fan, Critical biomarkers for responsive deep brain stimulation and responsive focal cortex stimulation in epilepsy field, Fundamental Research, 2024, Cited by 0, https://www.sciencedirect.com/science/article/pii/S2667325824002656
    2. Z Liang, G Zhao, Y Zhang, W Sun, J Lin, Suppressing seizure via optimal electrical stimulation to the hub of epileptic brain network, arXiv preprint arXiv:2406.09989, 2024, Cited by 0, https://arxiv.org/abs/2406.09989
    3. C Fang, X Li, M Na, W Jiang, Y He, A Wei, Epilepsy lesion localization method based on brain function network, Frontiers in Human Neuroscience, 2024, Cited by 1, https://www.frontiersin.org/journals/human-neuroscience/articles/10.3389/fnhum.2024.1431153/full
    4. SS Balaji, KK Parhi, Seizure onset zone (SOZ) identification using effective brain connectivity of epileptogenic networks, Journal of Neural Engineering, 2024, Cited by 0, https://iopscience.iop.org/article/10.1088/1741-2552/ad5938/meta
    5. H Karimi-Rouzbahani, A McGonigal, Directionality of neural activity in and out of the seizure onset zone in focal epilepsy, medRxiv, 2024, Cited by 0, https://www.medrxiv.org/content/10.1101/2024.08.10.24311802.abstract
    6. 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
    7. MA Pinto Orellana, B Lopour, Connectivity of high-frequency bursts as SOZ localization biomarker, Frontiers in Network Physiology, 2024, Cited by 0, https://www.frontiersin.org/journals/network-physiology/articles/10.3389/fnetp.2024.1441998/pdf?isPublishedV2=false
    8. S Zhou, P Zhang, H Chen, Latent Prototype-Based Clustering: A Novel Exploratory Electroencephalography Analysis Approach, Sensors (Basel, Switzerland), 2024, Cited by 0, https://pmc.ncbi.nlm.nih.gov/articles/PMC11314966/
    9. H Karimi-Rouzbahani, A McGonigal, Generalisability of epileptiform patterns across time and patients, Scientific Reports, 2024, Cited by 6, https://www.nature.com/articles/s41598-024-56990-7
    10. M Cespedes Tenorio, Data Preprocessing and Machine Learning for Intracranial Electroencephalography, 2024, Cited by 0, https://ir.lib.uwo.ca/etd/10223/
    11. K Tyner, Multimodal Investigations for the Identification of Surgically Relevant Brain Areas, 2024, Cited by 0, https://digitalcommons.unmc.edu/etd/819/
    12. S Zhou, H Cai, H Chen, L Ye, A Comparative Study of Causality Detection Methods in Root Cause Diagnosis: From Industrial Processes to Brain Networks, Sensors, 2024, Cited by 0, https://www.mdpi.com/1424-8220/24/15/4908
    13. JM Bernabei, A Li, AY Revell, RJ Smith, Quantitative approaches to guide epilepsy surgery from intracranial EEG, Brain, 2023, Cited by 46, https://academic.oup.com/brain/article-abstract/146/6/2248/6979879
    14. M Sun, S Zhou, Epileptogenic Foci Localization with Intracranial EEG Using Effective Connectivity Network Based on Phase Transfer Entropy, 2023 12th International Conference on System Modeling \& Advancement in Research Trends (SMART), 2023, Cited by 0, https://ieeexplore.ieee.org/abstract/document/10428232/
    15. P Zhang, S Zhou, Detecting Epileptic Seizures from iEEG with Spectral Envelope Analysis and Deep CNNs, 2023 Global Conference on Information Technologies and Communications (GCITC), 2023, Cited by 0, https://ieeexplore.ieee.org/abstract/document/10425938/
    16. J Mathew, N Sivakumaran, Variational mode decomposition based moment fusion for the detection of seizure types from the scalp EEG measurements, IEEE Transactions on Instrumentation and Measurement, 2023, Cited by 2, https://ieeexplore.ieee.org/abstract/document/10285511/
    17. JM Bernabei, A Li, AY Revell, RJ Smith, HUP iEEg epilepsy dataset. OpenNeuro, Cited by 1

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