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Mostafa Sharifzadeh
Mostafa Sharifzadeh
Ph.D. Candidate in Electrical and Computer Engineering, Concordia University
Verified email at concordia.ca
Title
Cited by
Cited by
Year
Phase aberration correction: A convolutional neural network approach
M Sharifzadeh, H Benali, H Rivaz
IEEE Access 8, 162252-162260, 2020
272020
Bi-Directional Semi-Supervised Training of Convolutional Neural Networks for Ultrasound Elastography Displacement Estimation
AKZ Tehrani, M Sharifzadeh, E Boctor, H Rivaz
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 69 …, 2022
152022
Investigating Shift-Variance of Convolutional Neural Networks in Ultrasound Image Segmentation
M Sharifzadeh, H Benali, H Rivaz
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 2022
122022
Ultrasound Domain Adaptation Using Frequency Domain Analysis
M Sharifzadeh, AKZ Tehrani, H Benali, H Rivaz
2021 IEEE International Ultrasonics Symposium (IUS), 1-4, 2021
72021
An Ultra-Fast Method for Simulation of Realistic Ultrasound Images
M Sharifzadeh, H Benali, H Rivaz
2021 IEEE International Ultrasonics Symposium (IUS), 1-4, 2021
52021
Shift-Invariant Segmentation in Breast Ultrasound Images
M Sharifzadeh, H Benali, H Rivaz
2021 IEEE International Ultrasonics Symposium (IUS), 1-4, 2021
42021
Phase Aberration Correction: A Deep Learning-Based Aberration to Aberration Approach
M Sharifzadeh, S Goudarzi, A Tang, H Benali, H Rivaz
arXiv preprint arXiv:2308.11149, 2023
32023
Phase Aberration Correction without Reference Data: An Adaptive Mixed Loss Deep Learning Approach
M Sharifzadeh, H Benali, H Rivaz
arXiv preprint arXiv:2303.05747, 2023
22023
Frequency-Space Prediction Filtering for Phase Aberration Correction in Plane-Wave Ultrasound
M Sharifzadeh, H Benali, H Rivaz
2023 IEEE International Ultrasonics Symposium (IUS), 1-4, 2023
2023
Robust RF Data Normalization for Deep Learning
M Sharifzadeh, H Benali, H Rivaz
2023 IEEE International Ultrasonics Symposium (IUS), 1-4, 2023
2023
Segmentation of Intraoperative 3D Ultrasound Images Using a Pyramidal Blur-Pooled 2D U-Net
M Sharifzadeh, H Benali, H Rivaz
Lesion Segmentation in Surgical and Diagnostic Applications: MICCAI 2022 …, 2023
2023
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