Azra Alizad, MD

Professor

Professor, Rochester, MN, Physiology & Biomedical Engineering

EmailAlizad.Azra@mayo.edu

Source: Scopus
Calculated based on no. of publications stored in Pure and citations from Scopus

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5 Finished

Ultrasonic perfusion imaging of peripheral vascular disease
Alizad, A. & Fatemi, M.
Project: Research project
Assessment of metabolic bone disease of prematurity using an acoustic method
Alizad, A. & Fatemi, M.
Project: Research project
Using Label-free Ultrasound Angio-Morphometry Analysis for Improving Ultrasound Specificity in Breast Cancer Detection and Treatment Monitoring
Alizad, A., Fatemi, M. & Fatemi, M.
Project: Research project
Localized measurement and mapping of tissue nonlinear elasticity
Alizad, A. & Fatemi, M.
7/1/16 → 6/30/18
Project: Research project
Multi-parameter Nonlinear Elasticity Mapping of Breast Masses
Alizad, A. & Fatemi, M.
1/8/16 → 11/30/20
Project: Research project

1237 Citations
20 Scopus h-Index
79 Article
28 Conference contribution
3 Chapter
3 Comment/debate
More

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 Access
2 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
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