Istanbul Technical University
Signal Processing for Computational Intelligence Group
Journal Publications
2023
Direct Pore-Based Identification for Fingerprint Matching Process
Vedat Delican, Behçet Töreyin, Ege Çetin, Aylin Yalçin Saribey
Turkish Journal of Electrical Engineering and Computer Sciences, 31(5):814-827 DOI:10.55730/1300-0632.4019, September 2023.
Machine Learning-Based Compressive Strength Estimation in Nano Silica-Modified Concrete
Mahsa Farshbaf Maherian, Servan Baran, Sidar Bıçakçı, Behçet Töreyin, Hakan Atahan
Construction and Building Materials Journal, DOI:10.2139/ssrn.4549277, January 2023.
Classification of Cervical Precursor Lesions via Local Histogram and Cell Morphometric Features
N. Calik, A. Albayrak, A. Akhan, I. Turkmen, , A. Capar, B. U. Toreyin, G. Bilgin, B. Muezzinoglu and L. Durak-Ata
IEEE Journal of Biomedical and Health Informatics, pp. 1747 - 1757, 2023.
PURSUhInT: In Search of Informative Hint Points Based on Layer Clustering for Knowledge Distillation
R. K. Keser, A. Ayanzadeh, O.A. Aghdam, Ç. Kılcıoglu, B. U. Töreyin and N. K. Üre
Expert Systems with Applications, vol. 213, part B, 2023, doi: 10.1016/j.eswa.2022.119040.2022
Focus-and-Detect: A small object detection framework for aerial images.
O. C. Koyun, R. K. Keser, İ. B. Akkaya and B. U. Töreyin
Signal Processing: Image Communication, pp. 0923-5965, 2022, doi: 10.1016/j.image.2022.116675.2021
Iterative Enhanced Multivariance Products Representation for Effective Compression of Hyperspectral Images.
S. Tuna, B. U. Töreyin, M. Demiralp, J. Ren, H. Zhao and S. Marshal
IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 11, pp. 9569-9584, Nov. 2021, doi: 10.1109/TGRS.2020.3031016.
Improved Cell Segmentation Using Deep Learning in Label-Free Optical Microscopy Images.
Ayanzadeh A, Özuysal ÖY, Okvur DP, Önal S , Töreyin BU, Ünay D.
Turk J Elec Eng & Comp Sci (2021).
https://journals.tubitak.gov.tr/elektrik/abstract.htm?id=29929.
A whole-slide image grading benchmark and tissue classification for cervical cancer precursor lesions with inter-observer variability.
Albayrak, A., Unlu, A., Calik, N., Capar, A., Bilgin, G., Toreyin, B.U., Muezzinoglu, B., Turkmen, I. and Durak-Ata.
Med Biol Eng Comput (2021).
https://doi.org/10.1007/s11517-021-02388-w.
Automated scoring of CerbB2/HER2 receptors using histogram based analysis of immunohistochemistry breast cancer tissue images.
Kabakçı K.A., Çakır A., Türkmen I., Töreyin BU., Çapar A.
https://doi.org/10.1016/j.bspc.2021.102924.
Vehicle License Plate Detector in Compressed Domain.
Beratoğlu MS, Töreyin BU.
IEEE Access, doi: 10.1109/ACCESS.2021.3092938.2020
A multi-spectral myelin annotation tool for machine learning based myelin quantification.
Çapar A, Yetiş SÇ, Aladağ Z, Ekinci DA, Ayten UE, Kerman BE, Töreyin BU.
F1000Research. 2020 Dec 21;9(1492):1492.
Myelin Detection in Fluorescence Microscopy Images Using Machine Learning.
Yetiş, S. Ç., Çapar, A., Ekinci, D. A., Ayten, U. E., Kerman, B. E., Töreyin, B. U. (2020)
2019
Sparse and low-rank matrix decomposition-based method for hyperspectral anomaly detection.
Küçük, Fatma, Behcet U. Töreyin, and Fatih Vehbi Çelebi.
Journal of Applied Remote Sensing 13.1 (2019): 014519
Metaphase finding with deep convolutional neural networks.
Moazzen, Y., Çapar, A., Albayrak, A., Çalık, N., Töreyin, B. U.
Biomedical Signal Processing and Control, 52, 353-361, (2019)
Flow structure and fish passage performance of a brush-type fish way: a field study in the İyidere River, Turkey.
S Kucukali, B. Verep, A. Alp, D. Turan, T. Mutlu, C Kaya, Y. Yıldırım, Töreyin, B. U., D. Özelçi
Marine and Freshwater Research, (2019)2018
Tridiagonal Folmat Enhanced Multivariance Products Representation Based Hyperspectral Data Compression
Z. Gündoğar, B. U. Töreyin, M. Demiralp
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018Papers and Presentations in Refereed Conference Proceedings
2023
2022
- A. İ. Topçu and B. Uğur Töreyin, "Neural Machine Translation Approaches for Post-OCR Text Processing," 2022 30th Signal Processing and Communications Applications Conference (SIU), 2022, pp. 1-4, doi: 10.1109/SIU55565.2022.9864878.
- Arıcan B., Akkul E.S., Çarkacıoğlu L., B.U. Töreyin, "Compressed Domain Classification of Remote Sensing Scene Images Based on Sub-band Data Fusion", SPIE Sensors + Imaging, 2022, Berlin, Germany
- Capci A., Guven H. E., Töreyin, B.U., "Noise removal of thermal images using deep learning approach", SPIE Optical Engineering + Applications, 2022, San Diego, California, United States.
2021
- Yağar H.O., Töreyin, B.U., "Comparison of Activation Functions and Network Types on the Performance of Compressed Domain Action Recognition Framework", International Cumhuriyet Artificial Intelligence Applications Conference (CAIAC), 2021.
- Ergün E., Töreyin B.U. (2021) Sparse Progressive Neural Networks for Continual Learning. In: Wojtkiewicz K., Treur J., Pimenidis E., Maleszka M. (eds) Advances in Computational Collective Intelligence. ICCCI 2021. Communications in Computer and Information Science, vol 1463. Springer, Cham.
- Akkul E.S., Arıcan B., Töreyin B.U. (2021) Bi-RDNet: Performance Enhancement for Remote Sensing Scene Classification with Rotational Duplicate Layers. In: Wojtkiewicz K., Treur J., Pimenidis E., Maleszka M. (eds) Advances in Computational Collective Intelligence. ICCCI 2021. Communications in Computer and Information Science, vol 1463. Springer, Cham.
- Taşdelen O., Çarkacioglu L., Töreyin B.U., (2021). Anomaly Detection on ADS-B Flight Data Using Machine Learning Techniques. In: Nguyen N.T., Iliadis L., Maglogiannis I., Trawiński B. (eds) Computational Collective Intelligence. ICCCI 2021. Lecture Notes in Computer Science, vol 12876. Springer, Cham.
- Çavaş, S., Beratoğlu, M.S. and Töreyin, B.U., 2021, June. Anomaly Detection In Compressed Video. In 2021 29th Signal Processing and Communications Applications Conference (SIU) (pp. 1-4). IEEE.
2020
- Kabakçı KA, Töreyin BU, Okatan M. "Estimation of Noise Standard Deviation Using an Otsu-Based Approach in Extracellular Neural Recordings." 2020 28th Signal Processing and Communications Applications Conference (SIU). IEEE, 2020, in press
- Akgul T, Calık N, Töreyin BU. " Deep Learning-Based Fish Detection in Turbid Underwater Images." 2020 28th Signal Processing and Communications Applications Conference (SIU). IEEE, 2020, in press
- Ayanzadeh A, Özuysal ÖY, Okvur DP, Önal S , Ünay D, Töreyin BU, " Deep Learning based Segmentation Pipeline for Label-Free Phase-Contrast Microscopy Images" 2020 28th Signal Processing and Communications Applications Conference (SIU). IEEE, 2020, in press
- Ergün E, Töreyin BU, "Continual Learning with Sparse Progressive Neural Networks" 2020 28th Signal Processing and Communications Applications Conference (SIU). IEEE, 2020, in press
- Keser RK, Nallbani I, Calık N, Ayanzadeh A, Töreyin BU. "Graph Embedding For Link Prediction Using Residual Variational Graph Autoencoders." 2020 28th Signal Processing and Communications Applications Conference (SIU). IEEE, 2020, in press
- E.Kayan, T.Kavuşan, S.Önal, D.P.Okvur, Ö.Yalçın-Özuysal, B.U.Töreyin, D.Ünay, "Faz-Kontrast Mikroskopi Görüntü Serilerinden Hücre Hareketliligi Analizi Ön-Çalısması," TIP-Tekno 2020, Antalya.
- B.Mayalı, O.Şaylığ, Ö.Yalçın-Özuysal, D.P.Okvur, B.U.Töreyin, D.Ünay, "Yara İyilȩsmesi Mikroskopi Görüntü Serilerinin Otomatik Analizi - Bir Ön-Çalı̧sma," TIP-Tekno 2020, Antalya.
- I. Turkmen, G. Dursun, U. Ozkaya, A. Capar, B. Muezinoglu, B.U Töreyin, " Can Artificial Intelligence Help Cervical Cytopathologist To Detect High-grade Squamous Intraepithelial Lesions On The Atrophic Background?", ESPD - Digital Pathology, Porto, Portugal, 2020.
- S.Aslan, U.Güdükbay, B.U.Töreyin, A.E.Çetin, "Deep Convolutional Generative Adversarial Networks For Flame Detection In Video," in Proc. of the 12th International Conference on Computational Collective Intelligence - ICCCI-2020, Vietnam, Nov. 2020.
2019
- R. K. Keser and B. U. Töreyin, " Autoencoder Based Dimensionality Reduction of Feature Vectors for Object Recognition", SITIS, Naples, Italy, 2019.
- Ö. Berk, G. Özdemir, A. Çapar and B. U. Töreyin, "Detection Methods of Salient Regions in Super-Resolution Based on Sparse Representation," IEEE - TıpTekno, Kuşadası, 2019.
- A. Ayanzadeh, H.O. Yağar, Ö.Y. Özuysal, D.P Okvur, B. U. Töreyin, D. Ünay and S. Önal, " Cell Segmentation of 2D Phase-Contrast Microscopy Images with Deep Learning Method", IEEE - TıpTekno, Kuşadası, 2019.
- R. C. Binici, U. ¸Sahin, A. Ayanzadeh, B. U. Töreyin, S. Önal, D. P. Okvur, Ö.Y. Özuysal and D. Ünay, " Automated Segmentation of Cells in Phase Contrast Optical Microscopy Time Series Images ", IEEE - TıpTekno, Kuşadası, 2019.
- Kucukali Serhat, Verep Bülent, Alp Ahmet, Turan Davut, Mutlu Tanju, Kaya Cüneyt, Yıldırım Yasin, Töreyin Behçet Uğur, Özelçi Dursun (2019) Flow structure and fish passage performance of a brush-type fish way: a field study in the İyidere River, Turkey. Marine and Freshwater Research
- M. M. Savcı, Y. Yıldırım, G. Saygılı and B. U. Töreyin, "Fire Detection in H.264 Compressed Video," ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brighton, United Kingdom, 2019, pp. 8310-8314.
- S. Aslan, U. Güdükbay, B. U. Töreyin and A. Enis Çetin, "Early Wildfire Smoke Detection Based on Motion-based Geometric Image Transformation and Deep Convolutional Generative Adversarial Networks," ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brighton, United Kingdom, 2019, pp. 8315-8319.
- M.S.Beratoğlu, B.U.Töreyin. "Vehicle License Plate Detection Using Only Block Partitioning Structure of the High Efficiency Video Coding (HEVC)." SIU 2019 - 2019 IEEE Sinyal İşleme ve Uygulamaları Kurultayı, Sivas, Turkey, 2019. .
Book Chapters
2023
Automated Analysis of Phase-Contrast Optical Microscopy Time-Lapse Images: Application to Wound Healing and Cell Motility Assays of Breast Cancer
The work titled “Automated analysis of phase-contrast optical microscopy time-lapse images: application to wound healing and cell motility assays of breast cancer” by the authors, including Prof. Behçet Uğur Töreyin, was published as a book chapter in “Diagnostic Biomedical Signal and Image Processing Applications with Deep Learning Methods”.
Patent Disclosures
Patent Registration Titled “Rotational Repeating Layer Training Method”
The invention of the team, including our faculty member Prof. Behçet Uğur Töreyin and his M.S. students, numbered TR 2021/014970, titled "Rotational Repeating Layer Training Method" has been registered by the Turkish Patent and Trademark Office.