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 | 244 | 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 | 158 | 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 | 121 | 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 | 120 | 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 | 55 | 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 | 52 | 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 | 38 | 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 | 29 | 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 | 27 | 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 | 14 | 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 | 13 | 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 | 10 | 2006 |
Detection of P300 wave from EEG data for brain-computer interface applications Z Iscan Pattern Recognition and Image Analysis 21, 481-485, 2011 | 9 | 2011 |
Mlsp competition, 2010: description of second place method Z Iscan 2010 IEEE International Workshop on Machine Learning for Signal Processing …, 2010 | 9 | 2010 |
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 | 7 | 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 | 5 | 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 | 5 | 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 | 3 | 2021 |
Development of Classification Methods for Electroencephalogram Based Brain Computer Interfaces Z İşcan Fen Bilimleri Enstitüsü, 2012 | 2 | 2012 |
Metin Madenciliğinde Büyüyen Öz-Düzenlemeli Harita Ağlarının Kullanımı Z İşcan Akademik Bilişim, 2011 | 2 | 2011 |