Debiao Li, Ph.D.
Affiliations: | Bioengineering | University of California, Los Angeles, Los Angeles, CA |
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"Debiao Li"Children
Sign in to add trainee| Vibhas S. Deshpande | grad student | 2003 | Northwestern |
| Jordin D. Green | grad student | 2004 | Northwestern |
| Jaeseok Park | grad student | 2005 | Northwestern |
| Xiaoming Bi | grad student | 2006 | Northwestern |
| Ioannis Koktzoglou | grad student | 2006 | Northwestern |
| Peng Lai | grad student | 2008 | Northwestern |
| Himanshu Bhat | grad student | 2010 | Northwestern |
| Zhaoyang Fan | grad student | 2010 | Northwestern |
| Jingsi Xie | grad student | 2012 | Northwestern |
| David Chen | grad student | 2009-2014 | Northwestern |
| Jianing Pang | grad student | 2009-2014 | Northwestern |
| Christopher T. Nguyen | grad student | 2010-2015 | UCLA (Neurotree) |
| Yibin Xie | grad student | 2010-2015 | UCLA |
| Zixin Deng | grad student | 2012-2017 | UCLA |
| Jaime Shaw | grad student | 2012-2017 | UCLA |
| Zhengwei Zhou | grad student | 2012-2017 | UCLA |
| Feng Shi | research scientist | 2016- | UCLA (Neurotree) |
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Publications
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| Nakazawa M, Matsumoto H, Li D, et al. (2024) Rapid three-dimensional quantification of high-intensity plaques from coronary atherosclerosis T-weighted characterization to predict periprocedural myocardial injury. Journal of Cardiovascular Magnetic Resonance : Official Journal of the Society For Cardiovascular Magnetic Resonance. 100999 |
| Qureshi TA, Chen X, Xie Y, et al. (2023) MRI/RNA-Seq-Based Radiogenomics and Artificial Intelligence for More Accurate Staging of Muscle-Invasive Bladder Cancer. International Journal of Molecular Sciences. 25 |
| Sun H, Wang L, Daskivich T, et al. (2023) Retrospective T2 quantification from conventional weighted MRI of the prostate based on deep learning. Frontiers in Radiology. 3: 1223377 |
| Wu C, Wang N, Gaddam S, et al. (2023) Retrospective quantification of clinical abdominal DCE-MRI using pharmacokinetics-informed deep learning: a proof-of-concept study. Frontiers in Radiology. 3: 1168901 |
| Kassem M, Nies KPH, Boswijk E, et al. (2023) Quantification of carotid plaque composition with a multi-contrast atherosclerosis characterization (MATCH) MRI sequence. Frontiers in Cardiovascular Medicine. 10: 1227495 |
| Chen Z, Stapleton MC, Xie Y, et al. (2023) Physics-informed deep learning for T2-deblurred superresolution turbo spin echo MRI. Magnetic Resonance in Medicine |
| Qiu S, Ma S, Wang L, et al. (2023) Direct synthesis of multi-contrast brain MR images from MR multitasking spatial factors using deep learning. Magnetic Resonance in Medicine |
| Huang C, He X, Xie Y, et al. (2023) Thrombus Signal on T1-Weighted Black-Blood MR Predicts Outcomes of Catheter-Directed Thrombolysis in Acute Deep Vein Thrombosis. Thrombosis and Haemostasis |
| Fukase T, Dohi T, Fujimoto S, et al. (2023) Relationship between coronary high-intensity plaques on T1-weighted imaging by cardiovascular magnetic resonance and vulnerable plaque features by near-infrared spectroscopy and intravascular ultrasound: a prospective cohort study. Journal of Cardiovascular Magnetic Resonance : Official Journal of the Society For Cardiovascular Magnetic Resonance. 25: 4 |
| Wang N, Gaddam S, Xie Y, et al. (2023) Multitasking dynamic contrast enhanced magnetic resonance imaging can accurately differentiate chronic pancreatitis from pancreatic ductal adenocarcinoma. Frontiers in Oncology. 12: 1007134 |