Ayse Oktay
Assoc. Prof., Yildiz Technical University
Research Interests
About
Publications
Forecasting air pollutant indicator levels with geographic models 3days in advance using neural networks
Expert Systems with Applications / Dec 01, 2010
Kurt, A., & Oktay, A. B. (2010). Forecasting air pollutant indicator levels with geographic models 3days in advance using neural networks. Expert Systems with Applications, 37(12), 7986–7992. https://doi.org/10.1016/j.eswa.2010.05.093
An online air pollution forecasting system using neural networks
Environment International / Jul 01, 2008
Kurt, A., Gulbagci, B., Karaca, F., & Alagha, O. (2008). An online air pollution forecasting system using neural networks. Environment International, 34(5), 592–598. https://doi.org/10.1016/j.envint.2007.12.020
Automatic detection, localization and segmentation of nano-particles with deep learning in microscopy images
Micron / May 01, 2019
Oktay, A. B., & Gurses, A. (2019). Automatic detection, localization and segmentation of nano-particles with deep learning in microscopy images. Micron, 120, 113–119. https://doi.org/10.1016/j.micron.2019.02.009
Tooth detection with Convolutional Neural Networks
2017 Medical Technologies National Congress (TIPTEKNO) / Oct 01, 2017
Betul Oktay, A. (2017, October). Tooth detection with Convolutional Neural Networks. 2017 Medical Technologies National Congress (TIPTEKNO). https://doi.org/10.1109/tiptekno.2017.8238075
Simultaneous Localization of Lumbar Vertebrae and Intervertebral Discs With SVM-Based MRF
IEEE Transactions on Biomedical Engineering / Sep 01, 2013
Oktay, A. B., & Akgul, Y. S. (2013). Simultaneous Localization of Lumbar Vertebrae and Intervertebral Discs With SVM-Based MRF. IEEE Transactions on Biomedical Engineering, 60(9), 2375–2383. https://doi.org/10.1109/tbme.2013.2256460
Computer aided diagnosis of degenerative intervertebral disc diseases from lumbar MR images
Computerized Medical Imaging and Graphics / Oct 01, 2014
Oktay, A. B., Albayrak, N. B., & Akgul, Y. S. (2014). Computer aided diagnosis of degenerative intervertebral disc diseases from lumbar MR images. Computerized Medical Imaging and Graphics, 38(7), 613–619. https://doi.org/10.1016/j.compmedimag.2014.04.006
Localization of the Lumbar Discs Using Machine Learning and Exact Probabilistic Inference
Lecture Notes in Computer Science / Jan 01, 2011
Oktay, A. B., & Akgul, Y. S. (2011). Localization of the Lumbar Discs Using Machine Learning and Exact Probabilistic Inference. In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2011 (pp. 158–165). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-23626-6_20
Differential diagnosis of Parkinson and essential tremor with convolutional LSTM networks
Biomedical Signal Processing and Control / Feb 01, 2020
Oktay, A. B., & Kocer, A. (2020). Differential diagnosis of Parkinson and essential tremor with convolutional LSTM networks. Biomedical Signal Processing and Control, 56, 101683. https://doi.org/10.1016/j.bspc.2019.101683
Human identification with dental panoramic radiographic images
IET Biometrics / Nov 06, 2017
Oktay, A. B. (2017). Human identification with dental panoramic radiographic images. IET Biometrics, 7(4), 349–355. Portico. https://doi.org/10.1049/iet-bmt.2017.0078
Nintendo Wii assessment of Hoehn and Yahr score with Parkinson's disease tremor
Technology and Health Care / Mar 14, 2016
Koçer, A., & Oktay, A. B. (2016). Nintendo Wii assessment of Hoehn and Yahr score with Parkinson’s disease tremor. Technology and Health Care, 24(2), 185–191. https://doi.org/10.3233/thc-151124
Nanoparticle detection from TEM images with deep learning
2018 26th Signal Processing and Communications Applications Conference (SIU) / May 01, 2018
Güven, G., & Oktay, A. B. (2018, May). Nanoparticle detection from TEM images with deep learning. 2018 26th Signal Processing and Communications Applications Conference (SIU). https://doi.org/10.1109/siu.2018.8404468
The validity of an objective measurement method using the Leap Motion Controller for fingers wrist, and forearm ranges of motion
Hand Surgery and Rehabilitation / Sep 01, 2021
Arman, N., Oktay, A. B., Tarakci, D., Tarakci, E., & Akgul, Y. S. (2021). The validity of an objective measurement method using the Leap Motion Controller for fingers wrist, and forearm ranges of motion. Hand Surgery and Rehabilitation, 40(4), 394–399. https://doi.org/10.1016/j.hansur.2021.03.007
Tooth Restoration and Dental Work Detection on Panoramic Dental Images via CNN
2020 Medical Technologies Congress (TIPTEKNO) / Nov 19, 2020
Gurses, A., & Oktay, A. B. (2020, November 19). Tooth Restoration and Dental Work Detection on Panoramic Dental Images via CNN. 2020 Medical Technologies Congress (TIPTEKNO). https://doi.org/10.1109/tiptekno50054.2020.9299272
Human Identification with Panoramic Dental Images using Mask R-CNN and SURF
2020 5th International Conference on Computer Science and Engineering (UBMK) / Sep 01, 2020
Gurses, A., & Oktay, A. B. (2020, September). Human Identification with Panoramic Dental Images using Mask R-CNN and SURF. 2020 5th International Conference on Computer Science and Engineering (UBMK). https://doi.org/10.1109/ubmk50275.2020.9219513
Air Pollution Forecasting with Random Forest Time Series Analysis
2018 International Conference on Artificial Intelligence and Data Processing (IDAP) / Sep 01, 2018
ALTINCOP, H., & OKTAY, A. B. (2018, September). Air Pollution Forecasting with Random Forest Time Series Analysis. 2018 International Conference on Artificial Intelligence and Data Processing (IDAP). https://doi.org/10.1109/idap.2018.8620768
Forecasting CO<inf>2</inf> Emission with Machine Learning Methods
2018 International Conference on Artificial Intelligence and Data Processing (IDAP) / Sep 01, 2018
GARIP, E., & OKTAY, A. B. (2018, September). Forecasting CO<inf>2</inf> Emission with Machine Learning Methods. 2018 International Conference on Artificial Intelligence and Data Processing (IDAP). https://doi.org/10.1109/idap.2018.8620767
Diagnosis of COVID-19 with a Deep Learning Approach on Chest CT Slices
2020 Medical Technologies Congress (TIPTEKNO) / Nov 19, 2020
Yener, F. M., & Oktay, A. B. (2020, November 19). Diagnosis of COVID-19 with a Deep Learning Approach on Chest CT Slices. 2020 Medical Technologies Congress (TIPTEKNO). https://doi.org/10.1109/tiptekno50054.2020.9299266
Diagnosis of Degenerative Intervertebral Disc Disease with Deep Networks and SVM
Communications in Computer and Information Science / Jan 01, 2016
Oktay, A. B., & Akgul, Y. S. (2016). Diagnosis of Degenerative Intervertebral Disc Disease with Deep Networks and SVM. In Computer and Information Sciences (pp. 253–261). Springer International Publishing. https://doi.org/10.1007/978-3-319-47217-1_27
Automatic Tooth Identification in Dental Panoramic Images with Atlas-based Models
Proceedings of the International Conference on Pattern Recognition Applications and Methods / Jan 01, 2015
Guzel, S., Betul Oktay, A., & Tufan, K. (2015). Automatic Tooth Identification in Dental Panoramic Images with Atlas-based Models. Proceedings of the International Conference on Pattern Recognition Applications and Methods. https://doi.org/10.5220/0005179701360141
Prostate detection from abdominal ultrasound images: A part based approach
2015 IEEE International Conference on Image Processing (ICIP) / Sep 01, 2015
Albayrak, N. B., Betul Oktay, A., & Akgul, Y. S. (2015, September). Prostate detection from abdominal ultrasound images: A part based approach. 2015 IEEE International Conference on Image Processing (ICIP). https://doi.org/10.1109/icip.2015.7351142
Segmentation of Fe<inf>3</inf>O<inf>4</inf> nano particles in TEM images
2014 22nd Signal Processing and Communications Applications Conference (SIU) / Apr 01, 2014
Vural, U., & Oktay, A. B. (2014, April). Segmentation of Fe<inf>3</inf>O<inf>4</inf> nano particles in TEM images. 2014 22nd Signal Processing and Communications Applications Conference (SIU). https://doi.org/10.1109/siu.2014.6830613
Prior information based segmentation: A 3D level set surface matching approach
2008 23rd International Symposium on Computer and Information Sciences / Oct 01, 2008
Oktay, A. B., & Akgul, Y. S. (2008, October). Prior information based segmentation: A 3D level set surface matching approach. 2008 23rd International Symposium on Computer and Information Sciences. https://doi.org/10.1109/iscis.2008.4717934
A Novel Level Set Based Echocardiographic Contour Extraction Method with Prior Knowledge
Procedings of the British Machine Vision Conference 2008 / Jan 01, 2008
Oktay, A. B., & Akgul, Y. S. (2008). A Novel Level Set Based Echocardiographic Contour Extraction Method with Prior Knowledge. Procedings of the British Machine Vision Conference 2008. https://doi.org/10.5244/c.22.97
Detection, segmentation, and numbering of teeth in dental panoramic images with mask regions with convolutional neural network features
State of the Art in Neural Networks and their Applications / Jan 01, 2021
Oktay, A. B., & Gurses, A. (2021). Detection, segmentation, and numbering of teeth in dental panoramic images with mask regions with convolutional neural network features. In State of the Art in Neural Networks and their Applications (pp. 73–90). Elsevier. https://doi.org/10.1016/b978-0-12-819740-0.00004-8
Echocardiographic contour extraction with local and global priors through boosting and level sets
2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops / Jun 01, 2009
Oktay, A. B., & Akgul, Y. S. (2009, June). Echocardiographic contour extraction with local and global priors through boosting and level sets. 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops. https://doi.org/10.1109/cvpr.2009.5204349
A Novel Level Set Based Echocardiographic Contour Extraction Method with Prior Knowledge
Procedings of the British Machine Vision Conference 2008 / Jan 01, 2008
Oktay, A. B., & Akgul, Y. S. (2008). A Novel Level Set Based Echocardiographic Contour Extraction Method with Prior Knowledge. Procedings of the British Machine Vision Conference 2008. https://doi.org/10.5244/c.22.97
A physiological signal database of children with different special needs for stress recognition
Scientific Data / Jun 14, 2023
Coşkun, B., Ay, S., Erol Barkana, D., Bostanci, H., Uzun, İ., Oktay, A. B., Tuncel, B., & Tarakci, D. (2023). A physiological signal database of children with different special needs for stress recognition. Scientific Data, 10(1). https://doi.org/10.1038/s41597-023-02272-2
Age Estimation from Pediatric Panoramic Dental Images with CNNs and LightGBM
2022 Medical Technologies Congress (TIPTEKNO) / Oct 31, 2022
Aliyev, R., Arslanoglu, E., Yasa, Y., & Oktay, A. B. (2022, October 31). Age Estimation from Pediatric Panoramic Dental Images with CNNs and LightGBM. 2022 Medical Technologies Congress (TIPTEKNO). https://doi.org/10.1109/tiptekno56568.2022.9960211
Development of a Balance System Including Virtual Reality Applications for the Evaluation and Improvement of Balance: Physiotherapy–Engineering Cooperation
Archives of Health Science and Research / Feb 28, 2022
TARAKCI, E., ZENGINLER YAZGAN, Y., & OKTAY, A. B. (2022). Development of a Balance System Including Virtual Reality Applications for the Evaluation and Improvement of Balance: Physiotherapy–Engineering Cooperation. Archives of Health Science and Research, 9(1), 70–74. https://doi.org/10.5152/archealthscires.2022.22010
Locating cardiac walls with Adaboost and level sets
2010 IEEE 18th Signal Processing and Communications Applications Conference / Apr 01, 2010
Oktay, A. B., & Akgul, Y. S. (2010, April). Locating cardiac walls with Adaboost and level sets. 2010 IEEE 18th Signal Processing and Communications Applications Conference. https://doi.org/10.1109/siu.2010.5654390
Architectural Design Methodologies for Complex Evolving Systems
12th IEEE International Conference on Engineering Complex Computer Systems (ICECCS 2007) / Jan 01, 2007
Vora, U. (2007). Architectural Design Methodologies for Complex Evolving Systems. 12th IEEE International Conference on Engineering Complex Computer Systems (ICECCS 2007). https://doi.org/10.1109/iceccs.2007.15
Differentiation of lung and breast cancer brain metastases: Comparison of texture analysis and deep convolutional neural networks
Journal of Clinical Ultrasound / Sep 09, 2023
Gultekin, M. A., Peker, A. A., Oktay, A. B., Turk, H. M., Cesme, D. H., Shbair, A. T. M., Yilmaz, T. F., Kaya, A., Yasin, A. I., Seker, M., Mayadagli, A., & Alkan, A. (2023). Differentiation of lung and breast cancer brain metastases: Comparison of texture analysis and deep convolutional neural networks. Journal of Clinical Ultrasound, 51(9), 1579–1586. Portico. https://doi.org/10.1002/jcu.23558
Prostate localization from abdominal ultrasound images by using a two-level approach
2017 25th Signal Processing and Communications Applications Conference (SIU) / May 01, 2017
Albayrak, N. B., Oktay, A. B., & Akgul, Y. S. (2017, May). Prostate localization from abdominal ultrasound images by using a two-level approach. 2017 25th Signal Processing and Communications Applications Conference (SIU). https://doi.org/10.1109/siu.2017.7960487
Extraction of left ventricle borders with local and global priors from echocardiograms
Machine Vision and Applications / Oct 20, 2012
Oktay, A. B., & Akgul, Y. S. (2012). Extraction of left ventricle borders with local and global priors from echocardiograms. Machine Vision and Applications, 24(7), 1393–1403. https://doi.org/10.1007/s00138-012-0458-9
Desiccation detection from lumbar MR images
2013 21st Signal Processing and Communications Applications Conference (SIU) / Apr 01, 2013
Oktay, A. B., Albayrak, N. B., & Akgul, Y. S. (2013, April). Desiccation detection from lumbar MR images. 2013 21st Signal Processing and Communications Applications Conference (SIU). https://doi.org/10.1109/siu.2013.6531433
Localization of intervertebral lumbar discs
2012 20th Signal Processing and Communications Applications Conference (SIU) / Apr 01, 2012
Albayrak, N. B., Oktay, A. B., & Akgul, Y. S. (2012, April). Localization of intervertebral lumbar discs. 2012 20th Signal Processing and Communications Applications Conference (SIU). https://doi.org/10.1109/siu.2012.6204762
Artificial neural networks based modelling of carbon monoxide: Effects of spatial parameters
Information Technologies in Environmental Engineering / Jan 01, 2009
Kurt, A., Oktay, A. B., Karaca, F., & Alagha, O. (2009). Artificial neural networks based modelling of carbon monoxide: Effects of spatial parameters. In Environmental Science and Engineering (pp. 345–356). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-540-88351-7_26
Stress recognition from facial images in children during physiotherapy with serious games
Expert Systems with Applications / Mar 01, 2024
Vural, Ş. F., Yurdusever, B., Oktay, A. B., & Uzun, I. (2024). Stress recognition from facial images in children during physiotherapy with serious games. Expert Systems with Applications, 238, 121837. https://doi.org/10.1016/j.eswa.2023.121837
Middle East region: Turkey
Rehabilitation Robots for Neurorehabilitation in High-, Low-, and Middle-Income Countries / Jan 01, 2024
Barkana, D. E., Uzun, I., Tarakci, D., Tarakci, E., Oktay, A. B., & Akgul, Y. S. (2024). Middle East region: Turkey. In Rehabilitation Robots for Neurorehabilitation in High-, Low-, and Middle-Income Countries (pp. 353–366). Elsevier. https://doi.org/10.1016/b978-0-323-91931-9.00014-1
Fizyoterapist ve Mühendis İş Birliği ile Rehabilitasyon Yazılımının Geliştirilmesi: Omuz Rehabilitasyonu Pilot Çalışması
Gümüşhane Üniversitesi Sağlık Bilimleri Dergisi / Dec 26, 2023
MENEK, B., OKTAY, Doç. Dr. A. B., & TARAKCI, D. (2023). Fizyoterapist ve Mühendis İş Birliği ile Rehabilitasyon Yazılımının Geliştirilmesi: Omuz Rehabilitasyonu Pilot Çalışması. Gümüşhane Üniversitesi Sağlık Bilimleri Dergisi, 12(4), 1950–1958. https://doi.org/10.37989/gumussagbil.1274979
Middle East region: Turkey
Rehabilitation Robots for Neurorehabilitation in High-, Low-, and Middle-Income Countries / Jan 01, 2024
Barkana, D. E., Uzun, I., Tarakci, D., Tarakci, E., Oktay, A. B., & Akgul, Y. S. (2024). Middle East region: Turkey. In Rehabilitation Robots for Neurorehabilitation in High-, Low-, and Middle-Income Countries (pp. 353–366). Elsevier. https://doi.org/10.1016/b978-0-323-91931-9.00014-1
Dental biometric systems: a comparative study of conventional descriptors and deep learning-based features
Multimedia Tools and Applications / Mar 30, 2022
Oktay, A. B., Akhtar, Z., & Gurses, A. (2022). Dental biometric systems: a comparative study of conventional descriptors and deep learning-based features. Multimedia Tools and Applications, 81(20), 28183–28206. https://doi.org/10.1007/s11042-022-12019-7
Fen Bilimleri Öğretmen Adaylarının Grafik Okuma, Yorumlama ve Çizme Becerilerinin İncelenmesi
İlköğretim Online / Mar 15, 2018
AYDIN, A., & TARAKÇI, F. (2018). Fen Bilimleri Öğretmen Adaylarının Grafik Okuma, Yorumlama ve Çizme Becerilerinin İncelenmesi. İlköğretim Online, 469–488. https://doi.org/10.17051/ilkonline.2018.413806
Büyükten Küçüğe Oto-kodlayıcılar ile dişlerin konumlandırılması*
Bilişim Teknolojileri Dergisi / Jan 31, 2018
OKTAY, A. B. (2018). Büyükten Küçüğe Oto-kodlayıcılar ile dişlerin konumlandırılması*. Bilişim Teknolojileri Dergisi, 11(1), 29–34. https://doi.org/10.17671/gazibtd.317893
FiCloud-2022 Program Committee
2022 9th International Conference on Future Internet of Things and Cloud (FiCloud) / Aug 01, 2022
FiCloud-2022 Program Committee. (2022, August). 2022 9th International Conference on Future Internet of Things and Cloud (FiCloud). https://doi.org/10.1109/ficloud57274.2022.00007
Bitcoin Fiyat Değişimlerinin Makine Öğrenmesi Yöntemi ile Tahmin Edilmesi (Prediction of the Bitcoin Price Changes Through Machine Learning)
Journal of Business Research - Turk / Dec 30, 2023
Nas, S., & Ergin Ünal, E. (2023). Bitcoin Fiyat Değişimlerinin Makine Öğrenmesi Yöntemi ile Tahmin Edilmesi (Prediction of the Bitcoin Price Changes Through Machine Learning). Journal of Business Research - Turk. LOCKSS. https://doi.org/10.20491/isarder.2023.1735
Code Clone Detection with Convolutional Neural Networks
Bilişim Teknolojileri Dergisi / Jan 31, 2020
DİŞLİ, H., & TOSUN, A. (2020). Code Clone Detection with Convolutional Neural Networks. Bilişim Teknolojileri Dergisi, 13(1), 1–12. https://doi.org/10.17671/gazibtd.541476
Education
Gebze Institute of Technology
PhD, Computer Engineering / July, 2011
Fatih University
MS, Computer Engineering / September, 2006
Fatih University
BS, Computer Engineering
Experience
Université Libre de Bruxelles, Belgium
Yildiz Technical University, Istanbul, Turkey
Associate Professor / September, 2021 — February, 2024
Yapay Nazar Inc.
Data Scientist, co-founder / May, 2015 — June, 2022
Visual Reality Based Physical Therapy and Rehabilitation System (2017-2022): Worked on several projects for computer-guided physiotherapy and serious games with various sensors with Becure Inc. Adopted machine learning and deep learning algorithms for monitoring patients. Developed a facial emotion recognition model. Market Shelf Analysis (2012-2015): Co-founded a start-up named Yapay Nazar Inc. for detection and counting the FMCGs in retail shelves using machine learning and image processing methods. Developed a mobile application for shelf detection and FMCG detection. Managed a team of 5 employees.
Links & Social Media
Join Dr. Oktay on NotedSource!
Join Now
At NotedSource, we believe that professors, post-docs, scientists and other researchers have deep, untapped knowledge and expertise that can be leveraged to drive innovation within companies. NotedSource is committed to bridging the gap between academia and industry by providing a platform for collaboration with industry and networking with other researchers.
For industry, NotedSource identifies the right academic experts in 24 hours to help organizations build and grow. With a platform of thousands of knowledgeable PhDs, scientists, and industry experts, NotedSource makes connecting and collaborating easy.
For academic researchers such as professors, post-docs, and Ph.D.s, NotedSource provides tools to discover and connect to your colleagues with messaging and news feeds, in addition to the opportunity to be paid for your collaboration with vetted partners.
Expert Institutions
Proudly trusted by
