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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3 Not started
5 Finished

Ultrasonic perfusion imaging of peripheral vascular disease
Alizad, A. & Fatemi, M.
National Heart, Lung, and Blood Institute
Project: Research project
Assessment of metabolic bone disease of prematurity using an acoustic method
Alizad, A. & Fatemi, M.
National Institute of Arthritis and Musculoskeletal and Skin Diseases
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.
National Cancer Institute
Project: Research project
Localized measurement and mapping of tissue nonlinear elasticity
Alizad, A. & Fatemi, M.
National Institute of Biomedical Imaging and Bioengineering
7/1/16 → 6/30/18
Project: Research project
Multi-parameter Nonlinear Elasticity Mapping of Breast Masses
Alizad, A. & Fatemi, M.
National Cancer Institute
1/8/16 → 11/30/20
Project: Research project

1352 Citations
21 Scopus h-Index
85 Article
28 Conference contribution
3 Chapter
3 Comment/debate
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A narrative review on characterization of acute respiratory distress syndrome in COVID-19-infected lungs using artificial intelligence
Suri, J. S., Agarwal, S., Gupta, S. K., Puvvula, A., Biswas, M., Saba, L., Bit, A., Tandel, G. S., Agarwal, M., Patrick, A., Faa, G., Singh, I. M., Oberleitner, R., Turk, M., Chadha, P. S., Johri, A. M., Miguel Sanches, J., Khanna, N. N., Viskovic, K., Mavrogeni, S. & 26 others, Laird, J. R., Pareek, G., Miner, M., Sobel, D. W., Balestrieri, A., Sfikakis, P. P., Tsoulfas, G., Protogerou, A., Misra, D. P., Agarwal, V., Kitas, G. D., Ahluwalia, P., Teji, J., Al-Maini, M., Dhanjil, S. K., Sockalingam, M., Saxena, A., Nicolaides, A., Sharma, A., Rathore, V., Ajuluchukwu, J. N. A., Fatemi, M., Alizad, A., Viswanathan, V., Krishnan, P. K. & Naidu, S., Mar 2021, In: Computers in Biology and Medicine. 130, 104210.
Research output: Contribution to journal › Review article › peer-review

Open Access
Automatic Deep Learning Semantic Segmentation of Ultrasound Thyroid Cineclips Using Recurrent Fully Convolutional Networks
Webb, J. M., Meixner, D. D., Adusei, S. A., Polley, E. C., Fatemi, M. & Alizad, A., 2021, In: IEEE Access. 9, p. 5119-5127 9 p., 9298766.
Research output: Contribution to journal › Article › peer-review

Open Access
Does Body Position Affect Ultrasound Measurements of Bladder-Wall Elasticity?
Adusei, S. A., Gregory, A. V., Polley, E. C., Alizad, A. & Fatemi, M., Apr 2021, In: Ultrasound in Medicine and Biology. 47, 4, p. 1115-1119 5 p.
Research output: Contribution to journal › Article › peer-review

Open Access
Early assessment of shear wave elastography parameters foresees the response to neoadjuvant chemotherapy in patients with invasive breast cancer
Gu, J., Polley, E. C., Denis, M., Carter, J. M., Pruthi, S., Gregory, A. V., Boughey, J. C., Fazzio, R. T., Fatemi, M. & Alizad, A., Dec 2021, In: Breast Cancer Research. 23, 1, 52.
Research output: Contribution to journal › Article › peer-review

Open Access
Imaging the response to deep brain stimulation in rodent using functional ultrasound
Nayak, R., Lee, J., Chantigian, S., Fatemi, M., Chang, S. Y. & Alizad, A., Mar 7 2021, In: Physics in medicine and biology. 66, 5, 05LT01.
Research output: Contribution to journal › Article › peer-review
2 Scopus citations