Modified Deep Neural Networks for Dog Breed Identification A Ayanzadeh, S Vahidnia Preprints, 2018 | 14 | 2018 |
Cell Segmentation of 2D Phase-Contrast Microscopy Images with Deep Learning Method A Ayanzadeh, HO Yagar, OY Ozuysal, DP Okvur, BU Töreyin, D Unay, ... 2019 Medical Technologies Congress (TIPTEKNO), 2019 | 11 | 2019 |
Graph embedding for link prediction using residual variational graph autoencoders RK Keser, I Nallbani, N Çalik, A Ayanzadeh, BU Töreyin 2020 28th Signal Processing and Communications Applications Conference (SIU …, 2020 | 7 | 2020 |
Automated segmentation of cells in phase contrast optical microscopy time series images RC Binici, U Şahin, A Ayanzadeh, BU Töreyin, S Önal, DP Okvur, ... 2019 Medical Technologies Congress (TIPTEKNO), 1-4, 2019 | 7 | 2019 |
PURSUhInT: In search of informative hint points based on layer clustering for knowledge distillation RK Keser, A Ayanzadeh, OA Aghdam, C Kilcioglu, BU Toreyin, NK Ure Expert Systems with Applications 213, 119040, 2023 | 5 | 2023 |
Deep learning based segmentation pipeline for label-free phase-contrast microscopy images A Ayanzadeh, ÖY Özuysal, DP Okvur, S Önal, BU Töreyin, D Ünay 2020 28th Signal Processing and Communications Applications Conference (SIU …, 2020 | 5 | 2020 |
Improved cell segmentation using deep learning in label-free optical microscopy images A Ayanzadeh, ÖY ÖZUYSAL, DP Okvur, S Önal, BU Töreyin, D Ünay Turkish Journal of Electrical Engineering and Computer Sciences 29 (8), 2855 …, 2021 | 4 | 2021 |
Gaussian three-dimensional kernel SVM for edge detection applications SB S Irandoust-Pakchin, A Ayanzadeh arXiv preprint, https://doi.org/10.48550/arXiv.1710.012, 2015 | 4* | 2015 |
A Study Review: Semantic Segmentation with Deep Neural Networks A Ayanzadeh | 2 | 2018 |
A modified ant colony based approach to digital image edge detection A Ayanzadeh, H Pourghaemi, Y Seyfari 2015 2nd International Conference on Knowledge-Based Engineering and …, 2015 | 2 | 2015 |
ResVGAE: Going Deeper with Residual Modules for Link Prediction I Nallbani, A Ayanzadeh, R Kevser Keser, N Çalık, B Uğur Töreyin arXiv e-prints, arXiv: 2105.00695, 2022 | 1* | 2022 |
Automated analysis of phase-contrast optical microscopy time-lapse images: application to wound healing and cell motility assays of breast cancer YS Erdem, A Ayanzadeh, B Mayalı, M Balıkçi, ÖN Belli, M Uçar, ... Diagnostic Biomedical Signal and Image Processing Applications with Deep …, 2023 | | 2023 |
A New Class of Scaling Matrices for Scaled Trust Region Algorithms A Ayanzadeh, S Yazdanian, E Shahamatnia arXiv preprint arXiv:1904.09209, 2019 | | 2019 |
Faz Kontrast Optik Mikroskopi Zaman Serisi Görüntülerinde Hücrelerin Otomatik Bölütlenmesi Automated Segmentation of Cells in Phase Contrast Optical Microscopy Time Series Images RC Binici, U Sahin, A Ayanzadeh, BU Töreyin, S Önal, DP Okvur, ... | | 2019 |
The Investigation and Ranking of The Effective Factors on Customers’ Loyalty of Lale-Park using AHP حسین پورقائمی آیدین اعیان زاده کنگره بین المللی مدیریت، اقتصاد و توسعه کسب و کار, https://www.academia.edu …, 2015 | | 2015 |
Estimating Number of People in ITU-EEB as an Application of People Counting Techniques A Ayanzadeh | | |