Publications

    Journals
  1. Abdurrahman Özbeyaz, Sami Arıca. "Classification of EEG signals of familiar and unfamiliar face stimuli exploiting most discriminative channels". Turk J Elec Eng & Comp Sci, 25(4), (2017), 3342-3354. DOI: https://doi.org/10.3906/elk-1608-130 . URL: http://journals.tubitak.gov.tr/elektrik/issues/elk-17-25-4/elk-25-4-64-1608-130.pdf
  2. Arıca, S , Kian Ara, R , Özgünen, K . "On The Classification of Hand Movements with Electromyogram Signals Obtained From Arm Muscles for Controlling Hand Prosthesis". Istanbul University - Journal of Electrical & Electronics Engineering. Volume 17, Issue 2, Pages 3425 - 3432. 2017. URL: http://dergipark.gov.tr/download/article-file/326947
  3. Zübeyde Aslankeser, Sami Arıca. Electromyographic Characteristics Of The Quadriceps Femoris During Performance Of The Wingate Test. Kinesiologia Slovenica (KinSi). Volume 23, No. 1. pp. 33-41. 2017. URL: http://www.kinsi.si/upload/clanki/029104_300.pdf
  4. Gurcan Erbay, Cem Onal, Elif Karadeli, Ozan C Guler, Sami Arica, Zafer Koc. "Predicting tumor recurrence in patients with cervical carcinoma treated with definitive chemoradiotherapy: value of quantitative histogram analysis on diffusion-weighted MR images". Acta Radiologica. Volume: 58 issue: 4, page(s): 481-488. Article first published online: July 20, 2016; Issue published: April 1, 2017. DOI: https://doi.org/10.1177/0284185116656492. URL: http://journals.sagepub.com/doi/abs/10.1177/0284185116656492
  5. Umut Çelik, Sami Arıca , Classification of evoked potentials of familiar and unfamiliar face stimuli using multi-resolution approximation based on excitatory post-synaptic potential waveform, Computers & Electrical Engineering, Available online 6 April 2013, ISSN 0045-7906. DOI: 10.1016/j.compeleceng.2013.03.009. URL: http://www.sciencedirect.com/science/article/pii/S0045790613000700
  6. Sami Arica , N. Firat Ince, Abdi Bozkurt, Ahmed H. Tewfik, Ahmet Birand, Prediction of pharmacologically induced baroreflex sensitivity from local time and frequency domain indices of R-R interval and systolic blood pressure signals obtained during deep breathing, Computers in Biology and Medicine, Volume 41, Issue 7, July 2011, Pages 442-448, ISSN 0010-4825. DOI: 10.1016/j.compbiomed.2011.04.006.
  7. Ince NF, Gupta R, Arica S, Tewfik AH, Ashe J, et al. High Accuracy Decoding of Movement Target Direction in Non-Human Primates Based on Common Spatial Patterns of Local Field Potentials. PLoS ONE 5(12): e14384. 2010. doi:10.1371/journal.pone.0014384
  8. Sami Arica , N. Firat Ince, Abdi Bozkurt, Ahmet Birand, Ahmed H. Tewfik, Predictability of baroreflex sensitivity induced by phenylephrine injection via frequency domain indices computed from heart rate and systolic blood pressure signals during deep breathing, Elsevier Biomedical Signal Processing and Control, 5(4), 292-298 (October 2010). DOI: 10.1016/j.bspc.2010.06.001
  9. Nuri F. Ince, Fikri Goksu, Ahmed H. Tewfik, Sami Arica , “Adapting Subject Specific Motor Imagery EEG Patterns in Space-Time-Frequency for a Brain Computer Interface”, Elsevier Biomedical Signal Processing and Control. 4(3), 236-246 (July 2009). DOI: 10.1016/j.bspc.2009.03.005
  10. N. Firat Ince, Sami Arica , Ahmed Tewfik, “Extraction Subject Specific Motor Imagery Time-Frequency Patterns for Single Trial EEG Classification”, Elsevier Computers in Medicine and Biology: Special issue on wavelet algorithms in medical problems. vol. 37, 499-508 (April 2007). DOI: 10.1016/j.compbiomed.2006.08.014
  11. N. Firat Ince, Sami Arica , Ahmed Tewfik, "Classification of Single Trial Motor Imagery EEG recordings with Subject Adapted Non-Dyadic Arbitrary Time-Frequency Tilings", J. Neural Eng. 3, 235-244 (2006). DOI: 10.1088/1741-2560/3/3/006
    Conferences
  1. Aydın İncedere and Sami Arıca, "Detection of Exudates from Digital Fundus Images of Diabetic Retinopathy Patients.," 2017 21th National Biomedical Engineering Meeting (BIYOMUT), Istanbul, 2017 (24-26 Nov. 2017), pp. URL: https://docs.wixstatic.com/ugd/100696_1423fbc3fd384dfdb4e97708eb60f343.pdf
  2. Avşar T.S., Arıca S. (2018) Automatic Segmentation of Computed Tomography Images of Liver Using Watershed and Thresholding Algorithms. In: Eskola H., Väisänen O., Viik J., Hyttinen J. (eds) EMBEC & NBC 2017. EMBEC 2017, NBC 2017. IFMBE Proceedings, vol 65, pp 414-417. Springer, Singapore. DOI: https://doi.org/10.1007/978-981-10-5122-7_104. URL: https://link.springer.com/chapter/10.1007/978-981-10-5122-7_104
  3. Gökşen N., Arıca S. (2018) A Simple Approach to Detect Alcoholics using Electroencephalographic Signals. In: Eskola H., Väisänen O., Viik J., Hyttinen J. (eds) EMBEC & NBC 2017. EMBEC 2017, NBC 2017. IFMBE Proceedings, vol 65, pp 1101-1104. Springer, Singapore DOI: https://doi.org/10.1007/978-981-10-5122-7_275. URL: https://link.springer.com/chapter/10.1007/978-981-10-5122-7_275
  4. A. Özbeyaz and S. Arica, "Evoked potential in response to familiar and unfamiliar face Stimuli and their time-location analysis," 2015 19th National Biomedical Engineering Meeting (BIYOMUT), Istanbul, 2015 (5-6 Nov. 2015), pp. 1-4. doi: 10.1109/BIYOMUT.2015.7369457. URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7369457&isnumber=7369251
  5. A. Özbeyaz and S. Arıca, "Comparison of channel selection methods on the classification of EEG data obtained from the animal non-animal categorization experiment," 2015 23nd Signal Processing and Communications Applications Conference (SIU), Malatya, 2015 (16-19 May 2015), pp. 172-175. doi: 10.1109/SIU.2015.7130432. URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7130432&isnumber=7129794
  6. Cem Sakarya, Sami Arıca, "QRS Detection With Wavelet Transform Using A Custom Wavelet", ELECO '2012 Electrical - Electronics and Computer Engineering Symposium. Pages 396-400. Bursa, November 29 - December 01, 2012. ELECO2012CEM.pdf
  7. İclal Çetin Taş, Turgay İbrikçi, Sami Arıca, "Emphasizing Hemorrhage of Regions Caused by Diabetic Retinopathy in Fundus Flouresein Angiography Images with Image Clustering, Classification and Enhancement Methods", ELECO '2012 Electrical - Electronics and Computer Engineering Symposium. Pages 704-708. Bursa, November 29 - December 01, 2012. ELECO2012ICLAL.pdf
  8. Celik, U.; Arica, S.; , "Classification of the visual evoked EEG using multiresolution approximation based on excitatory post-synaptic potential waveform," Electrical and Electronics Engineers in Israel (IEEEI), 2010 IEEE 26th Convention of , vol., no., pp.000929-000933, 17-20 Nov. 2010. DOI: 10.1109/EEEI.2010.5661941
  9. Arica, S .; Ince, N.F.; Birand, A.; Bozkurt, A.; Tewfik, A.; , "Prediction of pharmacologically induced baroreflex sensitivity from noninvasive baroreflex, heart rate and systolic blood pressure variability indices," Signal Processing and Communications Applications Conference, 2009. SIU 2009. IEEE 17th , vol., no., pp.900-903, 9-11 April 2009 . DOI: 10.1109/SIU.2009.5136542
  10. Nuri F. Ince, Rahul Gupta, Sami Arica , Ahmed H. Tewfik, James Ashe, Giuseppe Pellizzer, “Movement Direction Decoding with Spatial Patterns of Local Field Potentials”, IEEE Neural Engineering Congress, Antalya, 2009. DOI: 10.1109/NER.2009.5109290
  11. Arica, S .; , "An Orthogonal Scaling and Wavelet Function Pair For Analysis and Synthesis of Electroencephalography Signals," Signal Processing and Communications Applications, 2007. SIU 2007. IEEE 15th , vol., no., pp.1-4, 11-13 June 2007. DOI: 10.1109/SIU.2007.4298769
  12. Nuri F. INCE, Ahmed H. Tewfik, Sami Arica , “Motor Imagery Based Brain Computer Interface with Subject Adapted Time-Frequency Tiling”, 14th European Signal Processing Conference (EUSIPCO) Sept. 2006, Florence, Italy.
  13. Nuri F. INCE, Ahmed H. TEWFIK, Sami ARICA , “A Space-Time-Frequency Analysis Approach for the Clasification Motor Imagery EEG Recording in a Brain Computer Interface Task”, IEEE Engineering in Medicine and Biology Congress (EMBC) Sept. 2006, New York, NY, USA. DOI: 10.1109/IEMBS.2006.260052
  14. N. Firat INCE, Ahmed TEWFIK, Sami ARICA , Suha YAGCIOGLU, "Analysis and Visualization of Movement related EEG activities using Local Discriminant Bases", The 2nd International IEEE EMBS Conference on Neural Engineering, 2005, Washington, DC, USA. DOI: 10.1109/CNE.2005.1419691
  15. N. Firat INCE, Ahmed TEWFIK, Sami ARICA , "Classification of Movement EEG with Local Discriminant Bases”, 26th ICASSP 2005, Philadelphia, PA, USA. DOI: 10.1109/ICASSP.2005.1416328
  16. N. Firat INCE, Sami ARICA , "Analysis and Visualization of ERD and ERS with Adapted Local Cosine Transform", EMBC 2004, San Francisco, CA, USA. DOI: 10.1109/IEMBS.2004.1403152
  17. N.Fırat Ince, Sami Arica , Ahmet Birand "A PC Based Data Acquisition and Signal Processing System for Measuring the Baroreceptor Sensitivity" Proceedings of the IASTED International Conference on Signal Processing, Pattern Recognition, and Applications, Pages 93-97, 30 June-2 July, 2003 IASTED2003.pdf
  18. Tugay Akbas and Sami Arica , "Wavelet Tree Adaptation to Improve Coding Gain - in Turkish" Proceedings of IEEE SIU'2002 10. National Conference on Signal Processing and Telecommunications. Pages 45-47, Pamukkale, Denizli, June 12-14, 2002. SIU2002.pdf
  19. Sami Arica and Hakan Caglar, "The Best Subbands which Maximize Coding Gain - in Turkish", Proceedings of IEEE SIU'99 7th Congress on Signal Processing and Its Applications. Pages 200-205, Bilkent University, Ankara, June 17-19, 1999 SIU1999.pdf
  20. Sami Arica , "Wavelet Packet Tree Expansion Based On Sub-Spectrum Matching", Proceedings of the 1997 European Conference on Circuit Theory and Design, Vol. 2, Pages 803-806. Budapest, Hungary, 30 August - 3 September 1997. ECCTD97.pdf
  21. K. Balasubramanian and Sami Arica , "On the Synthesis of a Nine-Point Replica Correlator for a Sonar", Proceedings of the International Symposium on Signals, Circuits and Systems, SCS'93, Iasi, Romania, November 4-5, 1993. SCS1993.pdf
  22. Sami Arica , "Design of Two Band Orthogonal Nonuniform Filter Banks - in Turkish", Proceedings of SIU'97 5th Congress on Signal Processing and Its Applications. Vol. 2, Pages 599-603, Kusadasi, Izmir, May 1-3, 1997 SIU1997.pdf
  23. Sami Arica ve K. Balasubramanian, "Video İşaretinde Bulunan Yatay Karartma Darbe Aralıklarının Kullanımı ile TV Kanalında Birden Çok Ses Iletimi", Elektrik Muhendisligi 5. Ulusal Kongresi Bildiri Kitabi, sayfa 670-674, Trabzon, Turkiye, 13-18 Eylul 1993. EMUK1993.pdf

Supervised Thesis (Completed)

    PhD Thesis
  1. Analysis and classification of evoked potentials of familiar and unfamiliar face stimuli. Abdurrahman Özbeyaz. 24 August 2015
  2. Analysis and classification of visually evoked EEG using multiresolution approximation. Umut Celik . 2010. http://library.cu.edu.tr/tezler/8240.pdf
  3. Analysis and Classification of EEG with Adapted Wavelets and Local Discriminant Bases. N. Fırat Ince. September 2006. http://library.cu.edu.tr/tezler/5501.pdf
    MSc Thesis
  1. Automatic segmentation of computed tomography images of liver using watershed and thresholding algorithms. Tuğçe Sena Avşar. 06 February 2017
  2. A simple approach to detect alcoholics using electroencephalographic signals. Nahit Gökşen. 06 February 2017
  3. Classification of hand movements with electromyogram signals obtained from arm muscles: generating control signals for hand prosthesis. Rouhollah Dizbari Gharajehdaghi. 28 June 2013
  4. R-peak Detection with Wavelet Transform. Cem Sakarya. January 2013. http://library.cu.edu.tr/tezler/8884.pdf
  5. Depiction Of Hemorrhagic Regions Caused By Diabetic Retinopathy On Fundus Flourescein Angiography Images By Using Image Enhancement And Basic Classification Methods. İclal Çetin Taş. October 2012. http://library.cu.edu.tr/tezler/8796.pdf
    The thesis advisor has been Assistant Professor Turgay İbrikçi. I have been co-advisor of the student.
  6. A New Orthogonal Scaling-Wavelet Function Pair Based on Excitatory Postsynaptic Potential Function. Mehmet Kanal. September 2006 http://library.cu.edu.tr/tezler/5967.pdf
  7. Real Time Monitoring of Electrocardiography and Blood Volume Using RTAI on Linux. Fırat Kumru. September 2006 http://library.cu.edu.tr/tezler/6056.pdf
  8. Simple, Low-Cost Biosignal Amplifer Design for ECG and EEG. Abdülaziz Aydın. 2004
  9. A Computer Based Data Acquisition and Signal Processing System for Measuring the Baroreceptor Sensitivity. N. Fırat İnce. 2002
  10. Decomposition by Tree Structure to Obtain the Best Subband Division by Using Uniform Filter Banks. Tugay Akbaş. 2001


My PhD Thesis

The best subbands which maximize coding gain with application to still images. July 1999. Superviser: Associate Professor Hakan Caglar. WT.pdf