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Ehsan Kozegar
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2020 – today
- 2024
- [j6]Amin Malekmohammadi, Mohsen Soryani
, Ehsan Kozegar
Mass segmentation in automated breast ultrasound using an enhanced attentive UNet. Expert Syst. Appl. 245: 123095 (2024) - [j5]Rojin Setayeshi, Javad Vahidi, Ehsan Kozegar, Tao Tan:
An end-to-end multi-task deep learning framework for bronchoscopy image classification. Multim. Syst. 30(6): 361 (2024) - 2021
- [j4]Seyyed Mohammad Reza Hashemi
Cystoscopic Image Classification by Unsupervised Feature Learning and Fusion of Classifiers. IEEE Access 9: 126610-126622 (2021) - [j3]Morteza Khanramaki
Citrus pests classification using an ensemble of deep learning models. Comput. Electron. Agric. 186: 106192 (2021) - [i2]Hamed Fayyaz, Ehsan Kozegar, Tao Tan, Mohsen Soryani:
Mass Segmentation in Automated 3-D Breast Ultrasound Using Dual-Path U-net. CoRR abs/2109.08330 (2021) - 2020
- [j2]Ehsan Kozegar
Computer aided detection in automated 3-D breast ultrasound images: a survey. Artif. Intell. Rev. 53(3): 1919-1941 (2020) - [c4]Javad Ghofrani, Ehsan Kozegar, Arezoo Bozorgmehr, Mohammad Divband Soorati:
Reusability in Artificial Neural Networks: An Empirical Study. SE 2020: 37-38 - [i1]Javad Ghofrani, Ehsan Kozegar, Mohammad Divband Soorati, Arezoo Bozorgmehr, Hongfei Chen, Maximilian Naake:
Repository for Reusing Artifacts of Artificial Neural Networks. CoRR abs/2003.13619 (2020)
2010 – 2019
- 2019
- [c3]Javad Ghofrani, Ehsan Kozegar
Applying product line engineering concepts to deep neural networks. SPLC (A) 2019: 13:1-13:6 - [c2]Javad Ghofrani, Ehsan Kozegar
Reusability in artificial neural networks: an empirical study. SPLC (B) 2019: 77:1-77:8 - 2018
- [j1]Ehsan Kozegar
Mass Segmentation in Automated 3-D Breast Ultrasound Using Adaptive Region Growing and Supervised Edge-Based Deformable Model. IEEE Trans. Medical Imaging 37(4): 918-928 (2018) - 2013
- [c1]Reza Tavoli, Ehsan Kozegar
Weighted PCA for improving Document Image Retrieval System based on keyword spotting accuracy. TSP 2013: 773-777
Coauthor Index
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last updated on 2024-12-11 20:46 CET by the dblp team
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