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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Noninvasive assessment of detrusor pressure and dysfunction
National Institute of Diabetes and Digestive and Kidney Diseases
2/15/22 → 12/31/22
Project: Research project
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Ultrasonic perfusion imaging of peripheral vascular disease
Alizad, A., Dobrucki, W. L., Fatemi, M. & Insana, M.
National Heart, Lung, and Blood Institute
8/5/19 → 5/31/22
Project: Research project
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CPS: Medium: Collaborative Research: Human-on-the-Loop Control for Smart Ultrasound Imaging
10/1/18 → 9/30/22
Project: Research project
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Assessment of metabolic bone disease of prematurity using an acoustic method
National Institute of Arthritis and Musculoskeletal and Skin Diseases
9/1/19 → 8/31/21
Project: Research project
Research output
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Experimental Study of Aperiodic Plane Wave Imaging for Ultrafast 3-D Ultrasound Imaging
Bae, S., Kim, B. H., Alizad, A., Fatemi, M. & Song, T. K., 2022, (Accepted/In press) In: IEEE Transactions on Biomedical Engineering.Research output: Contribution to journal › Article › peer-review
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Hybrid high-definition microvessel imaging/shear wave elastography improves breast lesion characterization
Gu, J., Ternifi, R., Larson, N. B., Carter, J. M., Boughey, J. C., Stan, D. L., Fazzio, R. T., Fatemi, M. & Alizad, A., Dec 2022, In: Breast Cancer Research. 24, 1, 16.Research output: Contribution to journal › Article › peer-review
Open Access -
Ultrasound high-definition microvasculature imaging with novel quantitative biomarkers improves breast cancer detection accuracy
Ternifi, R., Wang, Y., Gu, J., Polley, E. C., Carter, J. M., Pruthi, S., Boughey, J. C., Fazzio, R. T., Fatemi, M. & Alizad, A., 2022, (Accepted/In press) In: European radiology.Research output: Contribution to journal › Article › peer-review
Open Access -
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, , 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