Zafer İşcan
Zitiert von
Zitiert von
Classification of electroencephalogram signals with combined time and frequency features
Z Iscan, Z Dokur, T Demiralp
Expert Systems with Applications 38 (8), 10499-10505, 2011
Test–retest reliability of freesurfer measurements within and between sites: Effects of visual approval process
Z Iscan, TB Jin, A Kendrick, B Szeglin, H Lu, M Trivedi, M Fava, ...
Human Brain Mapping 36 (9), 3472–3485, 2015
Tumor detection by using Zernike moments on segmented magnetic resonance brain images
Z Iscan, Z Dokur, T Ölmez
Expert systems with applications 37 (3), 2540-2549, 2010
Steady state visual evoked potential (SSVEP) based brain-computer interface (BCI) performance under different perturbations
Z İşcan, VV Nikulin
PloS one 13 (1), e0191673, 2018
Pre-stimulus alpha oscillations and inter-subject variability of motor evoked potentials in single-and paired-pulse TMS paradigms
Z Iscan, M Nazarova, T Fedele, E Blagovechtchenski, VV Nikulin
Frontiers in human neuroscience 10, 504, 2016
Medical image segmentation with transform and moment based features and incremental supervised neural network
Z Iscan, A Yüksel, Z Dokur, M Korürek, T Ölmez
Digital Signal Processing 19 (5), 890-901, 2009
Ultrasound image segmentation by using wavelet transform and self-organizing neural network
Z Iscan, MN Kurnaz, Z Dokur, T Olmez
Neural Information Processing-Letters and Reviews 10 (8-9), 183-191, 2006
Long-range temporal correlations in the amplitude of alpha oscillations predict and reflect strength of intracortical facilitation: combined TMS and EEG study
T Fedele, E Blagovechtchenski, M Nazarova, Z Iscan, V Moiseeva, ...
Neuroscience 331, 109-119, 2016
A novel steady-state visually evoked potential-based brain–computer interface design: character plotter
Z İşcan, Z Dokur
Biomedical Signal Processing and Control 10, 145-152, 2014
A positron emission tomography study of the serotonergic system in relation to anxiety in depression
Z Iscan, G Rakesh, S Rossano, J Yang, M Zhang, J Miller, GM Sullivan, ...
European Neuropsychopharmacology 27 (10), 1011-1021, 2017
Classification of EEG in a steady state visual evoked potential based brain computer interface experiment
Z İşcan, Ö Özkaya, Z Dokur
Adaptive and Natural Computing Algorithms: 10th International Conference …, 2011
Segmentation of medical images by using wavelet transform and incremental self-organizing map
Z Dokur, Z Iscan, T Ölmez
MICAI 2006: Advances in Artificial Intelligence: 5th Mexican International …, 2006
Mlsp competition, 2010: description of second place method
Z Iscan
2010 IEEE International Workshop on Machine Learning for Signal Processing …, 2010
Detection of P300 wave from EEG data for brain-computer interface applications
Z Iscan
Pattern Recognition and Image Analysis 21, 481-485, 2011
Retrospective correction of near field effect of X-ray source in radiographic images by using genetic algorithms
M Korürek, A Yüksel, Z Iscan, Z Dokur, T Ölmez
Expert Systems with Applications 37 (3), 1946-1954, 2010
Oscillatory source tensor discriminant analysis (ostda): a regularized tensor pipeline for ssvep-based bci systems
T Jorajuría, MJ Idaji, Z İşcan, M Gómez, VV Nikulin, C Vidaurre
Neurocomputing 492, 664-675, 2022
Pre-stimulus theta power is correlated with variation of motor evoked potential latency: a single-pulse TMS study
Z İşcan, A Schurger, M Vernet, JD Sitt, A Valero-Cabré
Experimental Brain Research 236, 3003-3014, 2018
Movement-preceding neural activity under parametrically varying levels of time pressure
B Trovò, Y Visser, Z İşcan, A Schurger
BioRxiv, 2021.04. 29.441753, 2021
Development of Classification Methods for Electroencephalogram Based Brain Computer Interfaces
Z İşcan
Fen Bilimleri Enstitüsü, 2012
Improved incremental self-organizing map for the segmentation of ultrasound images
Z İşcan, Z Dokur, T Ölmez
Mathematical Methods in Engineering, 293-302, 2007
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