Introduction

He is currently pursuing his Ph.D. degree in Electrical and Computer Engineering with Concordia University, Montreal, QC, Canada, co-supervised by Dr. Habib Benali and Dr. Hassan Rivaz. He is a member of IMage Processing And Characterization of Tissue (IMPACT), as well as Biomedical Imaging for Healthy Aging laboratories, and his current research is mainly focused on improving the performance of the ultrasound modality for biomedical applications by employing deep learning approaches.

Educational Background

He received his B.S. and M.S. (as the first-ranked student) degrees in Electrical Engineering - Communication Systems from Iran University of Science and Technology, Tehran, Iran, in 2013 and 2016, respectively, and holds the Concordia International Tuition Award of Excellence during Ph.D. M.S. Thesis: Multimodal Image Registration with Incorporating Intensity and Geometric Information of Phase. B.S. Thesis: Design and implementation of a GSM/GPRS/GPS-based vehicle tracker. Professional background – He worked for two years as a full-time Software Developer (.NET and C#)

Publications:

1. Sharifzadeh, M., Benali, H. and Rivaz, H., 2022. Investigating Shift Variance of Convolutional Neural Networks in Ultrasound Image Segmentation. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 69(5), pp.1703-1713. IEEE Xplore
2. Sharifzadeh, M., Benali, H. and Rivaz, H., 2020. Phase Aberration Correction: A Convolutional Neural Network Approach. IEEE Access, 8, pp.162252-162260. IEEE Xplore
3. Tehrani, A.K., Sharifzadeh, M., Boctor, E. and Rivaz, H., 2022. Bi-Directional Semi-Supervised Training of Convolutional Neural Networks for Ultrasound Elastography Displacement Estimation. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 69(4), pp.1181-1190. IEEE Xplore, arXiv
4. Sharifzadeh, M., Benali, H. and Rivaz, H., 2021, September. An Ultra-Fast Method for Simulation of Realistic Ultrasound Images. In 2021 IEEE International Ultrasonics Symposium (IUS) (pp. 1-4). IEEE. IEEE Xplore, arXiv
5. Sharifzadeh, M., Tehrani, A.K., Benali, H. and Rivaz, H., 2021, September. Ultrasound Domain Adaptation Using Frequency Domain Analysis. In 2021 IEEE International Ultrasonics Symposium (IUS) (pp. 1-4). IEEE. IEEE Xplore, arXiv
6. Sharifzadeh, M., Benali, H. and Rivaz, H., 2021, September. Shift-invariant segmentation in breast ultrasound images. In 2021 IEEE International Ultrasonics Symposium (IUS) (pp. 1-4). IEEE. IEEE Xplore
7. Sharifzadeh, M., Benali, H. and Rivaz, H., 2021. Abnormality Segmentation in Brain MRI: U-Net Is Not Shift-Invariant. The Organization for Human Brain Mapping (OHBM).
8. Sharifzadeh, M., Benali, H. and Rivaz, H., 2020. Skull aberration correction in ultrasound brain imaging. The Organization for Human Brain Mapping (OHBM).