Supervised and unsupervised methods for prostate cancer segmentation with multispectral MRI S Ozer, DL Langer, X Liu, MA Haider, TH Van der Kwast, AJ Evans, ... Medical physics 37 (4), 1873-1883, 2010 | 169 | 2010 |
A set of new Chebyshev kernel functions for support vector machine pattern classification S Ozer, C Hau Chen, HA Cirpan Pattern Recognition, 2011 | 113 | 2011 |
Controlling steering angle for cooperative self-driving vehicles utilizing CNN and LSTM-based deep networks R Valiente, M Zaman, S Ozer, YP Fallah 2019 IEEE intelligent vehicles symposium (IV), 2423-2428, 2019 | 77 | 2019 |
Prostate cancer localization with multispectral MRI based on relevance vector machines S Ozer, MA Haider, DL Langer, TH Van der Kwast, AJ Evans, MN Wernick, ... 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro …, 2009 | 63 | 2009 |
SyNet: An ensemble network for object detection in UAV images BM Albaba, S Ozer 2020 25th International conference on pattern recognition (ICPR), 10227-10234, 2021 | 54 | 2021 |
Yolodrone: Improved yolo architecture for object detection in drone images O Sahin, S Ozer 2021 44th International Conference on Telecommunications and Signal …, 2021 | 41 | 2021 |
Activity detection in scientific visualization S Ozer, D Silver, K Bemis, P Martin IEEE transactions on visualization and computer graphics 20 (3), 377-390, 2013 | 39 | 2013 |
InfraGAN: A GAN architecture to transfer visible images to infrared domain MA Özkanoğlu, S Ozer Pattern Recognition Letters 155, 69-76, 2022 | 34 | 2022 |
Visual Object Tracking in Drone Images with Deep Reinforcement Learning D Gozen, S Ozer 2020 25th International Conference on Pattern Recognition (ICPR), 10082-10089, 2021 | 27 | 2021 |
Group dynamics in scientific visualization S Ozer, J Wei, D Silver, KL Ma, P Martin IEEE symposium on large data analysis and visualization (LDAV), 97-104, 2012 | 24 | 2012 |
The path to COVIS: A review of acoustic imaging of hydrothermal flow regimes KG Bemis, D Silver, G Xu, R Light, D Jackson, C Jones, S Ozer, L Liu Deep Sea Research Part II: Topical Studies in Oceanography 121, 159-176, 2015 | 19 | 2015 |
SiameseFuse: A computationally efficient and a not-so-deep network to fuse visible and infrared images S Özer, M Ege, MA Özkanoglu Pattern Recognition 129, 108712, 2022 | 14 | 2022 |
CONNECTED AND AUTONOMOUS VEHICLES IN THE DEEP LEARNING ERA: A CASE STUDY ON COMPUTER-GUIDED STEERING R Valiente, M Zaman, YP Fallah, S Ozer | 14 | 2020 |
Offloading deep learning empowered image segmentation from uav to edge server HE Ilhan, S Ozer, GK Kurt, HA Cirpan 2021 44th International Conference on Telecommunications and Signal …, 2021 | 12 | 2021 |
Generalized Chebyshev kernels for support vector classification S Ozer, CH Chen 2008 19th International Conference on Pattern Recognition, 1-4, 2008 | 12 | 2008 |
On the classification performance of support vector machines using chebyshev kernel functions S Ozer Master's Thesis, University of Massachusetts, Dartmouth, 2007 | 11 | 2007 |
Similarity domains machine for scale-invariant and sparse shape modeling S Ozer IEEE Transactions on Image Processing 28 (2), 534-545, 2018 | 10 | 2018 |
Coresets for Vector Summarization with Applications to Network Graphs D Feldman, S Ozer, D Rus ICML 2017, 2017 | 10 | 2017 |
Offloading deep learning powered vision tasks from UAV to 5G edge server with denoising S Ozer, HE Ilhan, MA Ozkanoglu, HA Cirpan IEEE Transactions on Vehicular Technology 72 (6), 8035-8048, 2023 | 7 | 2023 |
YOLODrone+: improved YOLO architecture for object detection in UAV images O Sahin, S Ozer 2022 30th Signal Processing and Communications Applications Conference (SIU …, 2022 | 7 | 2022 |