Albert Hsiao, Ph.D.
Affiliations: | 2005 | University of California, San Diego, La Jolla, CA |
Area:
Biomedical Engineering, Biostatistics BiologyGoogle:
"Albert Hsiao"Parents
Sign in to add mentor| Shankar Subramaniam | grad student | 2005 | UCSD | |
| (Comparative functional genomics of energy metabolism and insulin resistance in mammalian systems.) | ||||
Children
Sign in to add trainee| Kevin Blansit | grad student | 2017-2021 | UCSD |
| Evan Masutani | grad student | 2022 | UCSD |
BETA: Related publications
See more...
Publications
|
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
| Masutani EM, Chandrupatla RS, Wang S, et al. (2023) Deep Learning Synthetic Strain: Quantitative Assessment of Regional Myocardial Wall Motion at MRI. Radiology. Cardiothoracic Imaging. 5: e220202 |
| Srinivas S, Masutani E, Norbash A, et al. (2023) Deep learning phase error correction for cerebrovascular 4D flow MRI. Scientific Reports. 13: 9095 |
| You S, Masutani EM, Alley MT, et al. (2021) Deep Learning Automated Background Phase Error Correction for Abdominopelvic 4D Flow MRI. Radiology. 211270 |
| Hurt B, Rubel MA, Masutani EM, et al. (2021) Radiologist-supervised Transfer Learning: Improving Radiographic Localization of Pneumonia and Prognostication of Patients With COVID-19. Journal of Thoracic Imaging |
| Jacobs K, Hahn L, Horowitz M, et al. (2021) Structural Heart 4D Flow MRI for Hemodynamic Assessment: How We Do It. Ajr. American Journal of Roentgenology |
| Retson TA, Masutani EM, Golden D, et al. (2020) Clinical Performance and Role of Expert Supervision of Deep Learning for Cardiac Ventricular Volumetry: A Validation Study. Radiology. Artificial Intelligence. 2: e190064 |
| Contijoch FJ, Horowitz M, Masutani E, et al. (2020) 4D Flow Vorticity Visualization Predicts Regions of Quantitative Flow Inconsistency for Optimal Blood Flow Measurement. Radiology. Cardiothoracic Imaging. 2: e190054 |
| Masutani EM, Bahrami N, Hsiao A. (2020) Deep Learning Single-Frame and Multiframe Super-Resolution for Cardiac MRI. Radiology. 192173 |
| Hurt B, Kligerman S, Hsiao A. (2020) Deep Learning Localization of Pneumonia: 2019 Coronavirus (COVID-19) Outbreak. Journal of Thoracic Imaging |
| Hurt B, Yen A, Kligerman S, et al. (2020) Augmenting Interpretation of Chest Radiographs With Deep Learning Probability Maps. Journal of Thoracic Imaging |