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Temel Kayikçioglu
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2020 – today
- 2023
- [c47]Mehmet Emin Kobya, Hayati Türe, Ramazan Özgür Dogan, Temel Kayikçioglu, Aykut Teymur, Sibel Kul:
Kontrastlı Mamografi Görüntülerinde Kitlelerin Şekil ve Birinci Dereceden İstatistiksel Özniteliklere Dayalı Sınıflandırması. SIU 2023: 1-4 - 2022
- [j21]Negin Manshouri, Mesut Melek, Temel Kayikçioglu:
Detection of 2D and 3D Video Transitions Based on EEG Power. Comput. J. 65(2): 396-409 (2022) - [j20]Ilknur Kayikcioglu Bozkir, Zübeyir Özcan, Cemal Köse, Temel Kayikçioglu, Ahmet Enis Çetin:
Improving a cortical pyramidal neuron model's classification performance on a real-world ecg dataset by extending inputs. J. Comput. Neurosci. 51(3): 329-341 (2022) - [j19]Kübra Eroglu, Onur Osman, Temel Kayikçioglu, Pinar Kurt:
Determining the effect of emotional images brightness on EEG signals by classification algorithms. Multidimens. Syst. Signal Process. 33(3): 835-861 (2022) - [c46]Ramazan Ozgur Dogan, Hayati Ture, Temel Kayikçioglu:
Segmentation of Pectoral Muscle Region in MLO Mammography Images by Backboned U-Net. SIU 2022: 1-4 - 2021
- [j18]Ramazan Özgür Dogan, Hülya Dogan, Coskun Bayrak, Temel Kayikçioglu:
A Two-Phase Approach using Mask R-CNN and 3D U-Net for High-Accuracy Automatic Segmentation of Pancreas in CT Imaging. Comput. Methods Programs Biomed. 207: 106141 (2021) - [j17]Yesim Aysel Baysal, Seniha Ketenci, Ismail H. Altas, Temel Kayikçioglu:
Multi-objective symbiotic organism search algorithm for optimal feature selection in brain computer interfaces. Expert Syst. Appl. 165: 113907 (2021) - [j16]Zübeyir Özcan, Temel Kayikçioglu:
Evaluating MFCC-based speaker identification systems with data envelopment analysis. Expert Syst. Appl. 168: 114448 (2021) - [j15]Ömer Yildirim, Ibrahim Bozyel, Kubra Saka, Temel Kayikçioglu, Dinçer Gökcen:
Polydimethylsiloxane-based capacitive motion sensor and its read-out circuit. Int. J. Circuit Theory Appl. 49(7): 2147-2157 (2021) - [j14]Fulya Akdeniz, Ilknur Kayikçioglu, Temel Kayikçioglu:
Classification of cardiac arrhythmias using Zhao-Atlas-Marks time-frequency distribution. Multim. Tools Appl. 80(20): 30523-30537 (2021) - [c45]Zübeyir Özcan, Ömer Yildirim, Temel Kayikçioglu:
BroomyCell: An Introductory Educational Software for Neuroscience. SIU 2021: 1-4 - 2020
- [j13]Hayati Ture, Temel Kayikçioglu:
Accurate Detection of Distorted Pectoral Muscle in Mammograms Using Specific Patterned Isocontours. IEEE Access 8: 147370-147386 (2020) - [j12]Negin Manshouri, Masoud Maleki, Temel Kayikçioglu:
An EEG-based stereoscopic research of the PSD differences in pre and post 2D&3D movies watching. Biomed. Signal Process. Control. 55 (2020) - [j11]Ilknur Kayikçioglu, Fulya Akdeniz, Cemal Köse, Temel Kayikçioglu:
Time-frequency approach to ECG classification of myocardial infarction. Comput. Electr. Eng. 84: 106621 (2020) - [j10]Negin Manshouri, Temel Kayikçioglu:
A Comprehensive Analysis of 2D&3D Video Watching of EEG Signals by Increasing PLSR and SVM Classification Results. Comput. J. 63(3): 425-434 (2020) - [j9]Mesut Melek, Negin Manshouri, Temel Kayikçioglu:
Low-Cost Brain-Computer Interface Using the Emotiv Epoc Headset Based on Rotating Vanes. Traitement du Signal 37(5): 831-837 (2020)
2010 – 2019
- 2019
- [i1]Negin Manshouri, Temel Kayikçioglu:
A Comprehensive Analysis of 2D&3D Video Watching of EEG Signals by Increasing PLSR and SVM Classification Results. CoRR abs/1903.05636 (2019) - 2018
- [c44]Fulya Akdeniz, Temel Kayikçioglu:
Detection of ECG arrhythmia using Zhao-Atlas Mark time-frequency distribution. SIU 2018: 1-4 - [c43]Ramazan Ozgur Dogan, Temel Kayikçioglu:
R-peaks detection with convolutional neural network in electrocardiogram signal. SIU 2018: 1-4 - [c42]Ilknur Kayikçioglu, Cemal Köse, Temel Kayikçioglu:
ECG ST segment change detection using Born-Jordan Time-Frequency Transform and Artificial Neural Networks. SIU 2018: 1-4 - [c41]Masoud Maleki, Negin Manshouri, Temel Kayikçioglu:
Fast and accurate classifier-based brain-computer interface system using single channel EEG data. SIU 2018: 1-4 - [c40]Negin Manshouri, Masoud Maleki, Temel Kayikçioglu:
Power spectrum analysis of EEG for watching 2D & 3D videos and resting state. SIU 2018: 1-4 - [c39]Ömer Yildirim, Temel Kayikçioglu:
Detecting cardiac arrhythmia by using time differences of double wavelength PPG peaks. SIU 2018: 1-4 - 2017
- [j8]Ercument Yilmaz, Temel Kayikçioglu, Saadettin Kayipmaz:
Computer-aided diagnosis of periapical cyst and keratocystic odontogenic tumor on cone beam computed tomography. Comput. Methods Programs Biomed. 146: 91-100 (2017) - [c38]Ramazan Ozgur Dogan, Temel Kayikçioglu, Yavuz Yagci:
Real time sending and monitoring electronic health records. SIU 2017: 1-4 - [c37]Kübra Eroglu, Pinar Kurt, Onur Osman, Temel Kayikçioglu:
Observation of the effect of the increase in luminance level on emotional assessment in EEG records using Welch method. SIU 2017: 1-4 - [c36]Ilknur Kayikçioglu, Güzin Ulutas, Temel Kayikçioglu:
Time-frequency analysis based detection of ECG ST segment change using large feature set. SIU 2017: 1-4 - [c35]Masoud Maleki, Negin Manshouri, Temel Kayikçioglu:
Application of PLSR with a comparison of MATLAB classification learner app in using BCI. SIU 2017: 1-4 - [c34]Negin Manshouri, Masoud Maleki, Temel Kayikçioglu:
Frequency analysis of EEG signal during watching 2D & 3D movies based on PLSR classifier: A comparison of methods. SIU 2017: 1-4 - [c33]Zübeyir Özcan, Temel Kayikçioglu:
A speaker identification performance comparison based on the classifier, the computation time and the number of MFCC. SIU 2017: 1-4 - [c32]Ozgur Tomak, Temel Kayikçioglu:
Effect on classification of wavelet compression on ECG signal. SIU 2017: 1-4 - [c31]Hayati Ture, Temel Kayikçioglu:
Detection and segmentation of masses in mammograms by the rule based elimination approach. SIU 2017: 1-4 - [c30]Ercument Yilmaz, Temel Kayikçioglu, Saadettin Kayipmaz:
Semi-automatic segmentation of apical lesions in cone beam computed tomography images. SIU 2017: 1-4 - [c29]Kübra Eroglu, Pinar Kurt, Temel Kayikçioglu, Onur Osman:
Investigation of luminance effect on the emotional assessment using principle components analysis method. TSP 2017: 448-451 - [c28]Ercument Yilmaz, Temel Kayikçioglu, Saadettin Kayipmaz:
Noise removal of CBCT images using an adaptive anisotropic diffusion filter. TSP 2017: 650-653 - 2016
- [c27]Masoud Maleki, Temel Kayikçioglu:
Classification of EEG signal during gaze on the different rotating vanes. SIU 2016: 593-596 - [c26]Negin Manshour, Temel Kayikçioglu:
Classification of 2D and 3D videos based on EEG waves. SIU 2016: 949-952 - [c25]Kübra Eroglu, Pinar Kurt, Temel Kayikçioglu, Onur Osman:
Investigation the effect of luminance level on the emotional assesment in EEG recordings using wavelet transform. SIU 2016: 1629-1632 - [c24]Ozgur Tomak, Temel Kayikçioglu:
Comparison of different classification methods in arrhythmia detection using Hjorth descriptors. SIU 2016: 1657-1660 - [c23]Ramazan Ozgur Dogan, Temel Kayikçioglu:
Remote patient monitoring and Electronic Health Record system based on web services. SIU 2016: 1785-1788 - [c22]Hayati Ture, Temel Kayikçioglu:
Rule based elimination of regions of interest in pectoral muscle on mammograms. SIU 2016: 1905-1908 - [c21]Ilknur Kayikçioglu, Fulya Akdeniz, Temel Kayikçioglu:
Wigner-Ville distribution based ECG arrhythmia detection for telemedicine applications. SIU 2016: 2045-2048 - [c20]Hakan Erdol, Hasan Yavuz Ozderya, Cem Sisman, Temel Kayikçioglu, Ismail Kaya:
BER performance comparison of IEEE 802.15.6 and IEEE 802.15.4 on PHY layer. TSP 2016: 108-111 - [c19]Fulya Akdeniz, Ilknur Kayikçioglu, Ismail Kaya, Temel Kayikçioglu:
Using Wigner-Ville distribution in ECG arrhythmia detection for telemedicine applications. TSP 2016: 409-412 - 2015
- [j7]Temel Kayikçioglu, Masoud Maleki, Kübra Eroglu:
Fast and accurate PLS-based classification of EEG sleep using single channel data. Expert Syst. Appl. 42(21): 7825-7830 (2015) - [c18]Nader Vahdani Manaf, Temel Kayikçioglu:
Comparison of time difference variations of photoplethysmographic signals with different wavelengths. SIU 2015: 1134-1137 - [c17]Masoud Maleki, Negin Manshouri, Temel Kayikçioglu:
A novel brain-computer interface based on the gaze rotating vane independent EEG. SIU 2015: 1204-1207 - [c16]Hayati Ture, Temel Kayikçioglu:
Classification of salient dense regions in mammograms based on the minimum nesting depth approach. SIU 2015: 2174-2177 - [c15]Seniha Ketenci, Temel Kayikçioglu, Ali Gangal:
Recognition of sign language numbers via electromyography signals. SIU 2015: 2593-2596 - 2014
- [c14]Onder Aydemir, Temel Kayikçioglu:
Classification of electroencephalogram signals based on cursor movement imagery. SIU 2014: 858-861 - [c13]Ahmet Turan, Temel Kayikçioglu:
Neuronal motifs of long term and short term memory functions. SIU 2014: 1255-1258 - [c12]Ahmet Turan, Temel Kayikçioglu:
Effect to long term and short term memory behaviour of structural changes in dendritic spine. SIU 2014: 1616-1619 - [c11]Ercument Yilmaz, Temel Kayikçioglu, Saadettin Kayipmaz:
Experimental comparison of different noise reduction techniques on Cone Beam Computed Tomography images. SIU 2014: 2086-2089 - [c10]Nader Vahdani Manaf, Temel Kayikçioglu:
Time difference analysis of two-wavelength photoplethysmograph signals. SIU 2014: 2241-2244 - 2013
- [c9]Onder Aydemir, Temel Kayikçioglu:
Deciding the appropriate Mother Wavelet for extract features from brain computer interface signals. SIU 2013: 1-4 - [c8]Kübra Eroglu, Masoud Maleki, Temel Kayikçioglu:
Fast and high accuracy classification of sleep EEG using PLSR method. SIU 2013: 1-4 - [c7]Masoud Maleki, Kübra Eroglu, Onder Aydemir, Negin Manshoori, Temel Kayikçioglu:
A new method for selection optimum k value in k-NN classification algorithm. SIU 2013: 1-4 - 2012
- [c6]Shahin Pourzare, Onder Aydemir, Temel Kayikçioglu:
Classification of EEG signals recorded during in facial movements for human-machine interaction. SIU 2012: 1-4 - [c5]Ahmet Turan, Temel Kayikçioglu:
Long-term and short-term memory functions of neuronal motifs. SIU 2012: 1-4 - [c4]Shahin Pourzare, Onder Aydemir, Temel Kayikçioglu:
Classification of various facial movement artifacts in EEG signals. TSP 2012: 529-533 - 2011
- [c3]Onder Aydemir, Mehmet Öztürk, Temel Kayikçioglu:
Performance evaluation of five classification algorithms in low-dimensional feature vectors extracted from EEG signals. TSP 2011: 403-407 - 2010
- [j6]Cemal Köse, Ugur Sevik, Okyay Gençalioglu, Cevat Ikibas, Temel Kayikçioglu:
A Statistical Segmentation Method for Measuring Age-Related Macular Degeneration in Retinal Fundus Images. J. Medical Syst. 34(1): 1-13 (2010) - [j5]Temel Kayikçioglu, Onder Aydemir:
A polynomial fitting and k-NN based approach for improving classification of motor imagery BCI data. Pattern Recognit. Lett. 31(11): 1207-1215 (2010)
2000 – 2009
- 2004
- [j4]Ali Gangal, Temel Kayikçioglu, Bekir Dizdaroglu:
An improved motion-compensated restoration method for damaged color motion picture films. Signal Process. Image Commun. 19(4): 353-368 (2004) - 2002
- [j3]Temel Kayikçioglu, Ali Gangal, Mehmet Turhal, Cemal Köse:
A surface-based method for detection of coronary vessel boundaries in poor quality X-ray angiogram images. Pattern Recognit. Lett. 23(7): 783-802 (2002) - 2001
- [j2]Temel Kayikçioglu, Ali Gangal, Mehmet Turhal:
Reconstructing coronary arterial segments from three projection boundaries. Pattern Recognit. Lett. 22(6/7): 611-624 (2001) - 2000
- [j1]Temel Kayikçioglu, Ali Gangal, Mahmut Ozer:
Reconstructing ellipsoids from three projection contours. Pattern Recognit. Lett. 21(11): 959-968 (2000)
1990 – 1999
- 1993
- [c2]Temel Kayikçioglu, Sunanda Mitra:
A new method for estimating dimensions and 3-D reconstruction of coronary arterial trees from biplane angiograms. CBMS 1993: 153-158 - 1992
- [c1]Temel Kayikçioglu, Sunanda Mitra:
Unique determination of shape and area of coronary arterial cross-section from biplane angiograms. CBMS 1992: 596-603
Coauthor Index
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