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Dr. Öğr. Üyesi Zafer İşcan

Bahçeşehir Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi

Elektrik-Elektronik Mühendisliği Bölümü

MAKALELER

  1. İşcan, Z., Schurger A., Vernet M., Sitt J. D., Valero-Cabré A., 2018. Pre-stimulus theta power is correlated with variation of motor evoked potential latency: a single-pulse TMS study, Experimental Brain Research, DOI: 10.1007/s00221-018-5359-3.
  2. İşcan, Z. and Nikulin V. V., 2018. Steady state visual evoked potential (SSVEP) based brain-computer interface (BCI) performance under different perturbations, PLoS ONE, 13(1): e0191673.
  3. İşcan, Z. Rakesh, G., Rossano, S., Yang, J., Zhang, M., Miller, J., Sullivan, G. M., Sharma, P., McClure, M., Oquendo, M. A., Mann, J. J., Parsey, R. V., DeLorenzo, C., 2017. A positron emission tomography study of the serotonergic system in relation to anxiety in depression, European Neuropsychopharmacology, vol. 27, no. 10, pp. 1011-1021.
  4. İşcan, Z., Nazarova M., Fedele T., Blagovechtchenski E., Nikulin V. V., 2016. Pre-stimulus Alpha Oscillations and Inter-subject Variability of Motor Evoked Potentials in Single- and Paired-Pulse TMS Paradigms, Frontiers in Human Neuroscience, 10:504.
  5. Fedele, T., Blagovechtchenski, E., Nazarova, M., İşcan, Z., Moiseeva, V., Nikulin, V. V., 2016. Long-Range Temporal Correlations in the amplitude of alpha oscillations predict and reflect strength of intracortical facilitation: Combined TMS and EEG study, Neuroscience, vol. 331, pp. 109-119.
  6. İşcan, Z., Jin, T. B., Kendrick, A., Szeglin, B., Lu, H., Trivedi, M., Fava, M., McGrath, P. J., Weissman, M., Kurian, B. T., Adams, P., Weyandt, S., Toups, M., Carmody, T., McInnis, M., Cusin, C., Cooper, C., Oquendo, M. A., Parsey, R. V., DeLorenzo, C., 2015. Test–retest reliability of freesurfer measurements within and between sites: Effects of visual approval process, Human Brain Mapping, vol. 36, no. 9, pp.3472–3485.
  7.  İşcan, Z. and Dokur, Z., 2015. Classification of steady state visual evoked potentials by Multi-Class T-Weight Method, Pattern Recognition and Image Analysis, vol. 25, no. 2, pp. 321-326.
  8. İşcan, Z. and Dokur, Z., 2014. A Novel Steady-State Visually Evoked Potential-Based Brain-Computer Interface Design: Character Plotter, Biomedical Signal Processing and Control, vol. 10. pp. 145-152
  9. İşcan, Z., Dokur, Z. and Demiralp, T., 2011. Classification of electroencephalogram signals with combined time and frequency features, Expert Systems with Applications, vol. 38, no. 8, pp. 10499–10505.
  10. İşcan, Z., Özkaya, Ö. and Dokur, Z., 2011. Classification of EEG in A Steady State Visual Evoked Potential Based Brain Computer Interface Experiment, Lecture Notes in Computer Science, Part 2, vol. 6594, pp. 81-88.
  11. İşcan, Z., 2011. Detection of P300 Wave From EEG Data For Brain-Computer Interface Applications. Pattern Recognition and Image Analysis, vol. 21, no. 3, pp. 481–485.
  12.  İşcan, Z., Dokur Z. and Ölmez, T., 2010. Tumor detection by using Zernike moments on segmented magnetic resonance brain images, Expert Systems with Applications, vol. 37, no. 3, pp. 2540–2549.
  13. Korürek, M., Yüksel, A., İşcan, Z., Dokur, Z. and Ölmez, T., 2010. Retrospective correction of near field effect of X-ray source in radiographic images by using genetic algorithms, Expert Systems with Applications, vol.37, no. 3, pp. 1946-1954.
  14.  İşcan, Z., Yüksel, A., Dokur, Z., Korürek M. and Ölmez, T., 2009. Medical image segmentation with transform and moment based features and incremental supervised neural network, Digital Signal Processing, vol. 19, no. 5, pp. 890-901.
  15. Dokur, Z., İşcan Z. and Ölmez, T., 2006. Segmentation of Medical Images Using Wavelet Transform and Incremental Self-Organizing Map, Lecture Notes in Artificial Intelligence, 4293, pp. 800-809.
  16. İşcan, Z., Kurnaz, M. N., Dokur Z. and Ölmez, T., 2006. Ultrasound Image Segmentation by Using Wavelet Transform and Self-Organizing Neural Network, Neural Information Processing – Letters and Reviews, vol. 10, nos. 8-9, pp. 183-191.

KONFERANS BİLDİRİLERİ

  1. İşcan, Z., 2015. Classification Using Angle and Radius of Feature Vector, Proceedings of IPCV'15, International Conference on Image Processing, Computer Vision, and Pattern Recognition, Las Vegas, Nevada, U.S.A., July 27-30, pp. 258-264.
  2.  İşcan, Z. and Dokur, Z., 2011. Improved T-Weight Method in Classification of Slow Cortical Potentials, Proceedings of 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, Barcelona, Spain, October 26 – 29.
  3. İşcan, Z., 2011. Metin Madenciliğinde Büyüyen Öz-Düzenlemeli Harita Ağlarının Kullanımı, AB’ 2011: Akademik Bilişim Konferansı, Malatya, 02-04 Şubat, Bildiri No: 106.
  4. İşcan, Z., 2010. MLSP 2010 EEG Sınıflama Yarışması ve Kullanılan Yöntem, ELECO’2010: Elektrik-Elektronik ve Bilgisayar Mühendisliği Sempozyumu, Bursa, 02-05 Aralık, Bildiri No: 1532.
  5. İşcan, Z., 2010. MLSP Competition, 2010: Description of Second Place Method. In MLSP’10. Proceedings of IEEE International Workshop on Machine Learning for Signal Processing, Kittila, Finland, August 29 - September 1, pp. 114-115.
  6. İşcan, Z., 2010. Karakter Tanıma ile Anket Değerlendirme, SİU 2010 - IEEE 18. Sinyal İşleme ve İletişim Uygulamaları Kurultayı, Bildiri Kitabı,Diyarbakır, 22-24 Nisan, pp. 491-494.
  7. İşcan, Z., 2009. Discrimination Between Different Art Types:Marbled Paper, Watercolor And Tile Images, Proceedings of EUROCON’2009, Saint Petersburg, Russia, May 18-23, pp. 296-301.
  8. İşcan, Z., 2008. Çift Görüntüler ve Aydınlatma Etkileri, ELECO’2008: Elektrik-Elektronik ve Bilgisayar Mühendisliği Sempozyumu, Bildiri Kitabı (Elektronik-Bilgisayar), Bursa, 26-30 Kasım, pp. 208-212.
  9. İşcan, Z., 2008. Classification of Marbled Paper, Miniature and Watercolor Images, Proceedings of 9th International Conference on Pattern Recognition and Image Analysis: New Information Technologies, Nizhny Novgorod, Russia, September 15 – 20, vol. 1, pp. 230-233.
  10. İşcan, Z., 2008. Çocuklarda Yürüyüş Dinamiklerinin Olgunlaşmasında ve Parkinson Hastalarında Yürüyüş Analizi, 13. Biyomedikal Mühendisliği Ulusal Toplantısı, Ankara, 29-31 Mayıs, Bildiri No: 178.
  11. İşcan, Z., 2006. Ebru ve Minyatür Görüntülerinin Analizi ve Sınıflandırılması, ELECO’2006: Elektrik-Elektronik ve Bilgisayar Mühendisliği Sempozyumu, Bildiri Kitabı (Elektronik), Bursa, 6-10 Aralık, pp. 191-194.

KİTAPLAR

  1. Book Chapter: İşcan, Z., Dokur, Z. and Ölmez, T., 2007. Improved incremental self-organizing map for the segmentation of ultrasound images, Mathematical Methods in Engineering, Springer Book, pp. 293-302.