Istanbul Technical University

Signal Processing for Computational Intelligence Group


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/index.htm.

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.


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)

Journal of Neuroscience Methods, 108946.

2019


Sparse and low-rank matrix decomposition-based method for hyperspectral anomaly detection.

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

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)

Metaphase finding with deep convolutional neural networks

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


Orci Nulla Pellentesque Dignissim

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, 2018


2021


  1. 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.
  2. 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.
  3. 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.
  4. 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


  1. 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
  2. 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
  3. 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
  4. Ergün E, Töreyin BU, "Continual Learning with Sparse Progressive Neural Networks" 2020 28th Signal Processing and Communications Applications Conference (SIU). IEEE, 2020, in press
  5. 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
  6. 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.
  7. 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.
  8. 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.
  9. 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


  1. R. K. Keser and B. U. Töreyin, " Autoencoder Based Dimensionality Reduction of Feature Vectors for Object Recognition", SITIS, Naples, Italy, 2019.
  2. 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.
  3. 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.
  4. 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.
  5. 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
  6. 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.
  7. 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.
  8. 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. .


2021


  1. Nallbani I, Ayanzadeh A, Keser RK, Calık N, Töreyin BU. "Representation Learning using Graph Autoencoders with Residual Connections". arXiv preprint arXiv:2105.00695
  2. Keser, R. K., Ayanzadeh, A., Aghdam, O. A., Kilcioglu, C., Toreyin, B. U., & Ure, N. K. (2021) "PURSUhInT: In Search of Informative Hint Points Based on Layer Clustering for Knowledge Distillation". arXiv preprint arXiv:2103.00053.