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 *

193 related articles for article (PubMed ID: 36433407)

  • 1. Review and Evaluation of Eye Movement Event Detection Algorithms.
    Birawo B; Kasprowski P
    Sensors (Basel); 2022 Nov; 22(22):. PubMed ID: 36433407
    [TBL] [Abstract][Full Text] [Related]  

  • 2. One algorithm to rule them all? An evaluation and discussion of ten eye movement event-detection algorithms.
    Andersson R; Larsson L; Holmqvist K; Stridh M; Nyström M
    Behav Res Methods; 2017 Apr; 49(2):616-637. PubMed ID: 27193160
    [TBL] [Abstract][Full Text] [Related]  

  • 3. gazeNet: End-to-end eye-movement event detection with deep neural networks.
    Zemblys R; Niehorster DC; Holmqvist K
    Behav Res Methods; 2019 Apr; 51(2):840-864. PubMed ID: 30334148
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Using machine learning to detect events in eye-tracking data.
    Zemblys R; Niehorster DC; Komogortsev O; Holmqvist K
    Behav Res Methods; 2018 Feb; 50(1):160-181. PubMed ID: 28233250
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Predictive Model for Dyslexia from Fixations and Saccadic Eye Movement Events.
    Jothi Prabha A; Bhargavi R
    Comput Methods Programs Biomed; 2020 Oct; 195():105538. PubMed ID: 32526535
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Head movement compensation and multi-modal event detection in eye-tracking data for unconstrained head movements.
    Larsson L; Schwaller A; Nyström M; Stridh M
    J Neurosci Methods; 2016 Dec; 274():13-26. PubMed ID: 27693470
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Deep-SAGA: a deep-learning-based system for automatic gaze annotation from eye-tracking data.
    Deane O; Toth E; Yeo SH
    Behav Res Methods; 2023 Apr; 55(3):1372-1391. PubMed ID: 35650384
    [TBL] [Abstract][Full Text] [Related]  

  • 8. REMoDNaV: robust eye-movement classification for dynamic stimulation.
    Dar AH; Wagner AS; Hanke M
    Behav Res Methods; 2021 Feb; 53(1):399-414. PubMed ID: 32710238
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Human-level saccade detection performance using deep neural networks.
    Bellet ME; Bellet J; Nienborg H; Hafed ZM; Berens P
    J Neurophysiol; 2019 Feb; 121(2):646-661. PubMed ID: 30565968
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 1D CNN with BLSTM for automated classification of fixations, saccades, and smooth pursuits.
    Startsev M; Agtzidis I; Dorr M
    Behav Res Methods; 2019 Apr; 51(2):556-572. PubMed ID: 30411227
    [TBL] [Abstract][Full Text] [Related]  

  • 11. An adaptive algorithm for fixation, saccade, and glissade detection in eyetracking data.
    Nyström M; Holmqvist K
    Behav Res Methods; 2010 Feb; 42(1):188-204. PubMed ID: 20160299
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Sampling rate influences saccade detection in mobile eye tracking of a reading task.
    Leube A; Rifai K; Rifai K
    J Eye Mov Res; 2017 Jun; 10(3):. PubMed ID: 33828659
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Combining Implicit and Explicit Feature Extraction for Eye Tracking: Attention Classification Using a Heterogeneous Input.
    Vortmann LM; Putze F
    Sensors (Basel); 2021 Dec; 21(24):. PubMed ID: 34960295
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Unsupervised parsing of gaze data with a beta-process vector auto-regressive hidden Markov model.
    Houpt JW; Frame ME; Blaha LM
    Behav Res Methods; 2018 Oct; 50(5):2074-2096. PubMed ID: 29076106
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Is human classification by experienced untrained observers a gold standard in fixation detection?
    Hooge ITC; Niehorster DC; Nyström M; Andersson R; Hessels RS
    Behav Res Methods; 2018 Oct; 50(5):1864-1881. PubMed ID: 29052166
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Primate eye tracking with carbon-nanotube-paper-composite based capacitive sensors and machine learning algorithms.
    Li T; Sakthivelpathi V; Qian Z; Soetedjo R; Chung JH
    J Neurosci Methods; 2024 Oct; 410():110249. PubMed ID: 39151657
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A data-driven algorithm for offline pupil signal preprocessing and eyeblink detection in low-speed eye-tracking protocols.
    Pedrotti M; Lei S; Dzaack J; Rötting M
    Behav Res Methods; 2011 Jun; 43(2):372-83. PubMed ID: 21302023
    [TBL] [Abstract][Full Text] [Related]  

  • 18. The Neyman Pearson detection of microsaccades with maximum likelihood estimation of parameters.
    Zhu H; Salcudean S; Rohling R
    J Vis; 2019 Nov; 19(13):17. PubMed ID: 31752016
    [TBL] [Abstract][Full Text] [Related]  

  • 19. An electrooculogram-based binary saccade sequence classification (BSSC) technique for augmentative communication and control.
    Keegan J; Burke E; Condron J
    Annu Int Conf IEEE Eng Med Biol Soc; 2009; 2009():2604-7. PubMed ID: 19965222
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Automated classification and scoring of smooth pursuit eye movements in the presence of fixations and saccades.
    Komogortsev OV; Karpov A
    Behav Res Methods; 2013 Mar; 45(1):203-15. PubMed ID: 22806708
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.