Ehsan Kozegar
Faculty: Faculty of Engineering - East Guilan
Department:
University of Guilan
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Ehsan Kozegar

Academic Rank: Assistant Prof.

Faculty: Faculty of Engineering - East Guilan

Department:



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Ehsan Kozegar was born in Ramsar, Iran, in 1986. He received the B.S. degree in Software Engineering in 2009 from Iran University of Science and Technology, Behshahr, Iran. He received his M.Sc. and Ph.D. degrees in Artificial Intelligence from Iran University of Science and Technology in 2011 and 2018, respectively. Currently, he is an Assistant Professor in Faculty of Engineering- East Guilan, University of Guilan. His research interests include machine learning, computer vision and medical image analysis. 



 

Ph.D: Computer Engineering- Artificial Intelligence, Iran University of Science and Technology (IUST), 2018

 

M.Sc: Computer Engineering-Artificial Intelligence, Iran  University of Science and Technology (IUST), 2011

 

B.Sc: Computer Engineering- Software, Iran University of Science and Technology (IUST), 2009

 



 

Journal Publications:

 

Ehsan Kozegar, Mohsen Soryani, Hamid Behnam, Masoumeh Salamati, Tao Tan, Computer aided detection in automated 3-D breast ultrasound images: a survey, Artificial Intelligence Review, 2019

 

Ehsan Kozegar, Mohsen Soryani, Hamid Behnam, Masoumeh Salamati, Tao Tan, Mass segmentation in automated 3-D breast ultrasound using adaptive region growing and supervised edge-based deformable model, IEEE Transactions on Medical Imaging, Vol. 37, No. 4, pp. 918-928, 2018.

 

Ehsan Kozegar, Mohsen Soryani, Hamid Behnam, Masoumeh Salamati, Tao Tan, Breast cancer detection in automated 3D breast ultrasound using iso-contours and cascaded RUSBoosts, Ultrasonics, Vol. 79, pp. 68-80, 2017.

 

Ehsan Kozegar, Mohsen Soryani, A cost-sensitive Bayesian combiner for reducing false positives in mammographic mass detection, Biomedical Engineering/Biomedizinische Technik, 2017.

 

 Ehsan Kozegar, Mohsen Soryani, Behrouz Minaei, Inês Domingues, Assessment of a novel mass detection algorithm in mammograms, Journal of cancer research and therapeutics, Vol. 9, No. 4, pp. 592-600, 2013.

 

Ehsan Kozegar, Mohsen Soryani, Hamid Behnam, Masoumeh Salamati, Tao Tan, Determining Mass Boundary in 3D Automated Breast Ultrasound Images Using a Deformable Model. Iranian Journal of Breast Diseases,  Vol. 10, No. 2, pp. 16-26, 2017 (In Persian).

 

Ehsan Kozegar, Mohsen Soryani, Hamid Behnam, Masoumeh Salamati, A review on computer aided systems for mass detection using 3D automatic breast ultrasound (ABUS) images. Machine Vision and Image Processing, 2018 (In Persian).

 

 Mohsen Soryani, Hamed Fayyaz, Ehsan Kozegar, Tao Tan, Mass segmentation in Automated 3-D Breast Ultrasound Using Deep learning. Iranian Journal of Biomedical Engineering, Vol. 12, No. 2, 2018 (In Persian).

 

 

Publications in conference proceedings:

 

Javad Ghofrani, Ehsan Kozegar, Arezoo Bozorgmehr, Mohammad Divband Soorati, Reusability in Artificial Neural Networks: An Empirical Study, 23rd International Systems and Software Product Line Conference - Volume B, Paris, France, 2019.

 

Javad Ghofrani, Ehsan Kozegar, Anna Lena Fehlhaber, Mohammad Divband Soorati, Applying Product Line Engineering Concepts to Deep Neural Networks, 23rd International Systems and Software Product Line Conference - Volume A, Paris, France, 2019.

 

Ebrahim Farahbakhsh, Ehsan Kozegar, Mohsen Soryani, Improving persian digit recognition by combining data augmentation and AlexNet, 10th Iranian Conference on Machine Vision and Image Processing (MVIP), pp. 265-270, 2017.

 

Ehsan Kozegar, Mohsen Soryani, Ines Domingues, A New Local Adaptive Mass Detection Algorithm in Mammograms, 6th International Conference on Bio-inspired Systems and Signal Processing, Barcelona, Spain, pp. 133-137, 2013.

 

Reza Tavoli, Ehsan Kozegar, Mohammad Shojafar, Hossein Soleimani, Zahra Pooranian, Weighted PCA for improving Document Image Retrieval System based on keyword spotting accuracy, 36th International Conference on Telecommunications and Signal Processing (TSP), Rome, Italy, 2013.

 

Ebrahim Emami, Mahmood Fathy, Ehsan Kozegar, Online failure detection and correction for CAMShift tracking algorithm, 8th Iranian Conference on Machine Vision and Image Processing (MVIP), pp. 180-183, 2013.

 


 

 



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contact Ehsan Kozegar
kozegar@guilan.ac.ir
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