BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

151 related articles for article (PubMed ID: 28269938)

  • 1. Multi-modal Patient Cohort Identification from EEG Report and Signal Data.
    Goodwin TR; Harabagiu SM
    AMIA Annu Symp Proc; 2016; 2016():1794-1803. PubMed ID: 28269938
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Active deep learning for the identification of concepts and relations in electroencephalography reports.
    Maldonado R; Harabagiu SM
    J Biomed Inform; 2019 Oct; 98():103265. PubMed ID: 31470094
    [TBL] [Abstract][Full Text] [Related]  

  • 3. The Role of a Deep-Learning Method for Negation Detection in Patient Cohort Identification from Electroencephalography Reports.
    Taylor SJ; Harabagiu SM
    AMIA Annu Symp Proc; 2018; 2018():1018-1027. PubMed ID: 30815145
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Recording human electrocorticographic (ECoG) signals for neuroscientific research and real-time functional cortical mapping.
    Hill NJ; Gupta D; Brunner P; Gunduz A; Adamo MA; Ritaccio A; Schalk G
    J Vis Exp; 2012 Jun; (64):. PubMed ID: 22782131
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals.
    Acharya UR; Oh SL; Hagiwara Y; Tan JH; Adeli H
    Comput Biol Med; 2018 Sep; 100():270-278. PubMed ID: 28974302
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A novel multi-modal machine learning based approach for automatic classification of EEG recordings in dementia.
    Ieracitano C; Mammone N; Hussain A; Morabito FC
    Neural Netw; 2020 Mar; 123():176-190. PubMed ID: 31884180
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Localization of deep brain activity with scalp and subdural EEG.
    Fahimi Hnazaee M; Wittevrongel B; Khachatryan E; Libert A; Carrette E; Dauwe I; Meurs A; Boon P; Van Roost D; Van Hulle MM
    Neuroimage; 2020 Dec; 223():117344. PubMed ID: 32898677
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Deep Learning Enabled Automatic Abnormal EEG Identification.
    Roy S; Kiral-Kornek I; Harrer S
    Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():2756-2759. PubMed ID: 30440972
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Intracranial volume conduction of cortical spikes and sleep potentials recorded with deep brain stimulating electrodes.
    Wennberg RA; Lozano AM
    Clin Neurophysiol; 2003 Aug; 114(8):1403-18. PubMed ID: 12888022
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Noninvasive Detection of Hippocampal Epileptiform Activity on Scalp Electroencephalogram.
    Abou Jaoude M; Jacobs CS; Sarkis RA; Jing J; Pellerin KR; Cole AJ; Cash SS; Westover MB; Lam AD
    JAMA Neurol; 2022 Jun; 79(6):614-622. PubMed ID: 35499837
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A novel biomedical image indexing and retrieval system via deep preference learning.
    Pang S; Orgun MA; Yu Z
    Comput Methods Programs Biomed; 2018 May; 158():53-69. PubMed ID: 29544790
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Modeling and interpretation of scalp-EEG and depth-EEG signals during interictal activity.
    Cosandier-Rimélé D; Badier JM; Chauvel P; Wendling F
    Annu Int Conf IEEE Eng Med Biol Soc; 2007; 2007():4277-80. PubMed ID: 18002947
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Development of Expert-Level Automated Detection of Epileptiform Discharges During Electroencephalogram Interpretation.
    Jing J; Sun H; Kim JA; Herlopian A; Karakis I; Ng M; Halford JJ; Maus D; Chan F; Dolatshahi M; Muniz C; Chu C; Sacca V; Pathmanathan J; Ge W; Dauwels J; Lam A; Cole AJ; Cash SS; Westover MB
    JAMA Neurol; 2020 Jan; 77(1):103-108. PubMed ID: 31633740
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Automated EEG signal analysis for identification of epilepsy seizures and brain tumour.
    Sharanreddy M; Kulkarni PK
    J Med Eng Technol; 2013 Nov; 37(8):511-9. PubMed ID: 24116656
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A review of signal processing and machine learning techniques for interictal epileptiform discharge detection.
    Abdi-Sargezeh B; Shirani S; Sanei S; Took CC; Geman O; Alarcon G; Valentin A
    Comput Biol Med; 2024 Jan; 168():107782. PubMed ID: 38070202
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Detection of interictal spikes and artifactual data through orthogonal transformations.
    Adjouadi M; Cabrerizo M; Ayala M; Sanchez D; Yaylali I; Jayakar P; Barreto A
    J Clin Neurophysiol; 2005; 22(1):53-64. PubMed ID: 15689714
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Identification and classification of epileptic EEG signals using invertible constant-
    Eltrass AS; Tayel MB; El-Qady AF
    J Neural Eng; 2022 Dec; 19(6):. PubMed ID: 36541556
    [No Abstract]   [Full Text] [Related]  

  • 18. Inferring Clinical Correlations from EEG Reports with Deep Neural Learning.
    Goodwin TR; Harabagiu SM
    AMIA Annu Symp Proc; 2017; 2017():770-779. PubMed ID: 29854143
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Investigating social cognition in infants and adults using dense array electroencephalography ((d)EEG).
    Akano AJ; Haley DW; Dudek J
    J Vis Exp; 2011 Jun; (52):. PubMed ID: 21730950
    [TBL] [Abstract][Full Text] [Related]  

  • 20. EEG-based outcome prediction after cardiac arrest with convolutional neural networks: Performance and visualization of discriminative features.
    Jonas S; Rossetti AO; Oddo M; Jenni S; Favaro P; Zubler F
    Hum Brain Mapp; 2019 Nov; 40(16):4606-4617. PubMed ID: 31322793
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.