Projects per year
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Dive into the research topics where Azra Alizad is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Projects
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Ultrasonic perfusion imaging of peripheral vascular disease
Project: Research project
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Assessment of metabolic bone disease of prematurity using an acoustic method
Project: Research project
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Localized measurement and mapping of tissue nonlinear elasticity
7/1/16 → 6/30/18
Project: Research project
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Multi-parameter Nonlinear Elasticity Mapping of Breast Masses
1/8/16 → 11/30/20
Project: Research project
Research Output
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Author Correction: Impact of imaging cross-section on visualization of thyroid microvessels using ultrasound: Pilot study (Scientific Reports, (2020), 10, 1, (415), 10.1038/s41598-019-57330-w)
Nayak, R., Nawar, N., Webb, J., Fatemi, M. & Alizad, A., Dec 1 2020, In: Scientific reports. 10, 1, 11965.Research output: Contribution to journal › Comment/debate › peer-review
Open Access -
Automated Segmentation of Thyroid Nodule, Gland, and Cystic Components from Ultrasound Images Using Deep Learning
Kumar, V., Webb, J., Gregory, A., Meixner, D. D., Knudsen, J. M., Callstrom, M., Fatemi, M. & Alizad, A., 2020, In: IEEE Access. 8, p. 63482-63496 15 p., 9044381.Research output: Contribution to journal › Article › peer-review
Open Access2 Scopus citations -
C-Elastography: In Vitro Feasibility Phantom Study
Shahraki, D. P., Kumar, V., Ghavami, S., Urban, M. W., Alizad, A., Guzina, B. B. & Fatemi, M., Jul 2020, In: Ultrasound in Medicine and Biology. 46, 7, p. 1738-1754 17 p.Research output: Contribution to journal › Article › peer-review
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Fully automated segmentation of bladder sac and measurement of detrusor wall thickness from transabdominal ultrasound images
Akkus, Z., Kim, B. H., Nayak, R., Gregory, A., Alizad, A. & Fatemi, M., Aug 1 2020, In: Sensors (Switzerland). 20, 15, p. 1-11 11 p., 4175.Research output: Contribution to journal › Letter › peer-review
Open Access -
Gap-Filling Method for Suppressing Grating Lobes in Ultrasound Imaging: Experimental Study with Deep-Learning Approach
Kumar, V., Lee, P. Y., Kim, B. H., Fatemi, M. & Alizad, A., 2020, In: IEEE Access. 8, p. 76276-76286 11 p., 9075177.Research output: Contribution to journal › Article › peer-review
Open Access