These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

595 related articles for article (PubMed ID: 33542859)

  • 1. A Deep Convolutional Neural Network Method to Detect Seizures and Characteristic Frequencies Using Epileptic Electroencephalogram (EEG) Data.
    Rashed-Al-Mahfuz M; Moni MA; Uddin S; Alyami SA; Summers MA; Eapen V
    IEEE J Transl Eng Health Med; 2021; 9():2000112. PubMed ID: 33542859
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Automatic seizure detection using three-dimensional CNN based on multi-channel EEG.
    Wei X; Zhou L; Chen Z; Zhang L; Zhou Y
    BMC Med Inform Decis Mak; 2018 Dec; 18(Suppl 5):111. PubMed ID: 30526571
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Automatic seizure detection and classification using super-resolution superlet transform and deep neural network -A preprocessing-less method.
    Tripathi PM; Kumar A; Kumar M; Komaragiri RS
    Comput Methods Programs Biomed; 2023 Oct; 240():107680. PubMed ID: 37459774
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Epileptic Seizure Detection with Hybrid Time-Frequency EEG Input: A Deep Learning Approach.
    Pan Y; Zhou X; Dong F; Wu J; Xu Y; Zheng S
    Comput Math Methods Med; 2022; 2022():8724536. PubMed ID: 35211188
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Classification of EEG signals using neural network and logistic regression.
    Subasi A; Erçelebi E
    Comput Methods Programs Biomed; 2005 May; 78(2):87-99. PubMed ID: 15848265
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Optimized deep neural network architecture for robust detection of epileptic seizures using EEG signals.
    Hussein R; Palangi H; Ward RK; Wang ZJ
    Clin Neurophysiol; 2019 Jan; 130(1):25-37. PubMed ID: 30472579
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Detection of Epileptic Seizure Using Pretrained Deep Convolutional Neural Network and Transfer Learning.
    Nogay HS; Adeli H
    Eur Neurol; 2020; 83(6):602-614. PubMed ID: 33423031
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A medium-weight deep convolutional neural network-based approach for onset epileptic seizures classification in EEG signals.
    Nemati N; Meshgini S
    Brain Behav; 2022 Nov; 12(11):e2763. PubMed ID: 36196623
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Early prediction of epileptic seizures using a long-term recurrent convolutional network.
    Wei X; Zhou L; Zhang Z; Chen Z; Zhou Y
    J Neurosci Methods; 2019 Nov; 327():108395. PubMed ID: 31408651
    [TBL] [Abstract][Full Text] [Related]  

  • 10. An automated detection of epileptic seizures EEG using CNN classifier based on feature fusion with high accuracy.
    Chen W; Wang Y; Ren Y; Jiang H; Du G; Zhang J; Li J
    BMC Med Inform Decis Mak; 2023 May; 23(1):96. PubMed ID: 37217878
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Epileptic-Net: An Improved Epileptic Seizure Detection System Using Dense Convolutional Block with Attention Network from EEG.
    Islam MS; Thapa K; Yang SH
    Sensors (Basel); 2022 Jan; 22(3):. PubMed ID: 35161475
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A channel independent generalized seizure detection method for pediatric epileptic seizures.
    Chakrabarti S; Swetapadma A; Pattnaik PK
    Comput Methods Programs Biomed; 2021 Sep; 209():106335. PubMed ID: 34390934
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Epileptic seizure detection in EEG signal using machine learning techniques.
    Jaiswal AK; Banka H
    Australas Phys Eng Sci Med; 2018 Mar; 41(1):81-94. PubMed ID: 29264792
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Epileptic Seizure Recognition Using Reduced Deep Convolutional Stack Autoencoder and Improved Kernel RVFLN From EEG Signals.
    Sahani M; Rout SK; Dash PK
    IEEE Trans Biomed Circuits Syst; 2021 Jun; 15(3):595-605. PubMed ID: 34156948
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Epileptic seizure detection: a comparative study between deep and traditional machine learning techniques.
    Sahu R; Dash SR; Cacha LA; Poznanski RR; Parida S
    J Integr Neurosci; 2020 Mar; 19(1):1-9. PubMed ID: 32259881
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Classification of epileptic EEG recordings using signal transforms and convolutional neural networks.
    San-Segundo R; Gil-Martín M; D'Haro-Enríquez LF; Pardo JM
    Comput Biol Med; 2019 Jun; 109():148-158. PubMed ID: 31055181
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A novel epileptic seizure prediction method based on synchroextracting transform and 1-dimensional convolutional neural network.
    Ra JS; Li T; YanLi
    Comput Methods Programs Biomed; 2023 Oct; 240():107678. PubMed ID: 37418802
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Enhanced Feature Extraction-based CNN Approach for Epileptic Seizure Detection from EEG Signals.
    Dhar P; Garg VK; Rahman MA
    J Healthc Eng; 2022; 2022():3491828. PubMed ID: 35340257
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Combining EEG Features and Convolutional Autoencoder for Neonatal Seizure Detection.
    Wang Y; Yuan S; Liu JX; Hu W; Jia Q; Xu F
    Int J Neural Syst; 2024 Aug; 34(8):2450040. PubMed ID: 38753012
    [TBL] [Abstract][Full Text] [Related]  

  • 20. EEG based multi-class seizure type classification using convolutional neural network and transfer learning.
    Raghu S; Sriraam N; Temel Y; Rao SV; Kubben PL
    Neural Netw; 2020 Apr; 124():202-212. PubMed ID: 32018158
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 30.