| A polynomial fitting and k-NN based approach for improving classification of motor imagery BCI data T Kayikcioglu, O Aydemir Pattern Recognition Letters 31 (11), 1207-1215, 2010 | 145 | 2010 |
| Computer-aided diagnosis of periapical cyst and keratocystic odontogenic tumor on cone beam computed tomography E Yilmaz, T Kayikcioglu, S Kayipmaz Computer methods and programs in biomedicine 146, 91-100, 2017 | 85 | 2017 |
| Decision tree structure based classification of EEG signals recorded during two dimensional cursor movement imagery O Aydemir, T Kayikcioglu Journal of neuroscience methods 229, 68-75, 2014 | 85 | 2014 |
| Fast and accurate PLS-based classification of EEG sleep using single channel data T Kayikcioglu, M Maleki, K Eroglu Expert Systems with Applications 42 (21), 7825-7830, 2015 | 59 | 2015 |
| Wavelet transform based classification of invasive brain computer interface data O Aydemir, T Kayikcioglu Radioengineering 20 (1), 31-38, 2011 | 51 | 2011 |
| Collective temporal coherence for subthreshold signal encoding on a stochastic small-world Hodgkin–Huxley neuronal network M Ozer, M Uzuntarla, T Kayikcioglu, LJ Graham Physics Letters A 372 (43), 6498-6503, 2008 | 44 | 2008 |
| An improved motion-compensated restoration method for damaged color motion picture films A Gangal, T Kayikcioglu, B Dizdaroglu Signal Processing: Image Communication 19 (4), 353-368, 2004 | 40 | 2004 |
| EEG tabanlı beyin bilgisayar arayüzleri Ö Aydemir, T Kayıkçıoğlu Akademik Bilişim 9, 11-13, 2009 | 39 | 2009 |
| An EEG-based stereoscopic research of the PSD differences in pre and post 2D&3D movies watching N Manshouri, M Maleki, T Kayikcioglu Biomedical Signal Processing and Control 55, 101642, 2020 | 37 | 2020 |
| A two-phase approach using mask R-CNN and 3D U-Net for high-accuracy automatic segmentation of pancreas in CT imaging RO Dogan, H Dogan, C Bayrak, T Kayikcioglu Computer Methods and Programs in Biomedicine 207, 106141, 2021 | 35 | 2021 |
| Time-frequency approach to ECG classification of myocardial infarction I Kayikcioglu, F Akdeniz, C Köse, T Kayikcioglu Computers & Electrical Engineering 84, 106621, 2020 | 34 | 2020 |
| Classifying various EMG and EOG artifacts in EEG signals O Aydemir, S Pourzare, T Kayikcioglu Przegląd Elektrotechniczny 88 (11a), 218-222, 2012 | 31 | 2012 |
| A surface-based method for detection of coronary vessel boundaries in poor quality X-ray angiogram images T Kayikcioglu, A Gangal, M Turhal, C Kose Pattern Recognition Letters 23 (7), 783-802, 2002 | 26 | 2002 |
| Effect of brightness of visual stimuli on EEG signals K Eroğlu, T Kayıkçıoğlu, O Osman Behavioural Brain Research 382, 112486, 2020 | 25 | 2020 |
| Comparing common machine learning classifiers in low-dimensional feature vectors for brain computer interface applications O Aydemir, T Kayikcioglu International Journal of Innovative Computing, Information and Control 9 (3 …, 2013 | 21 | 2013 |
| Multi-objective symbiotic organism search algorithm for optimal feature selection in brain computer interfaces YA Baysal, S Ketenci, IH Altas, T Kayikcioglu Expert Systems with Applications 165, 113907, 2021 | 18 | 2021 |
| A new method for estimating dimensions and 3-d reconstruction of coronary arterial trees from biplane angiograms T Kayikcioglu, S Mitra [1993] Computer-Based Medical Systems-Proceedings of the Sixth Annual IEEE …, 1993 | 17 | 1993 |
| Investigation of theta rhythm effect in detection of finger movement S Ketenci, T Kayikcioglu Journal of experimental neuroscience 13, 1179069519828737, 2019 | 14 | 2019 |
| Reconstructing ellipsoids from three projection contours T Kayikcioglu, A Gangal, M Ozer Pattern Recognition Letters 21 (11), 959-968, 2000 | 14 | 2000 |
| Reconstructing coronary arterial segments from three projection boundaries T Kayikcioglu, A Gangal, M Turhal Pattern Recognition Letters 22 (6-7), 611-624, 2001 | 13 | 2001 |
