Jianhua Yao
Tencent
389 Papers
2.4K Citations
Jianhua Yao is an academic researcher from Tencent. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 42, co-authored 344 publications. Previous affiliations of Jianhua Yao include Johns Hopkins University & National Institutes of Health.
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Papers
Multimodal Image Driven Patient Specific Tumor Growth Modeling
Yixun Liu,Samira M. Sadowski,Allison B. Weisbrod,Electron Kebebew,Ronald M. Summers,Jianhua Yao +5 more
- 22 Sep 2013
TL;DR: A reaction-advection-diffusion model integrating cancerous cell proliferation, infiltration, metabolic rate and extracellular matrix biomechanical response is proposed, and a scheme to bridge the model with multimodal radiologic images through intracellular volume fraction (ICVF) and Standardized Uptake Value (SUV).
Cumulative Radiation Exposures from CT Screening and Surveillance Strategies for von Hippel-Lindau-associated Solid Pancreatic Tumors.
Amit Tirosh,Amit Tirosh,Neige M. Y. Journy,Les R. Folio,Choonsik Lee,Christiane Leite,Jianhua Yao,William Kovacs,W. Marston Linehan,Ashkan A. Malayeri,Electron Kebebew,Amy Berrington de Gonzalez +11 more
TL;DR: CT screening of patients with von Hippel-Lindau syndrome can lead to substantial radiation exposures, even with dual-energy virtual noncontrast CT, and a genome and tumor diameter-based algorithm for pancreatic neuroendocrine tumor surveillance may potentially reduce lifetime radiation exposure.
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Tumor growth prediction with hyperelastic biomechanical model, physiological data fusion, and nonlinear optimization.
Ken C. L. Wong,Ronald M. Summers,Electron Kebebew,Jianhua Yao +3 more
- 14 Sep 2014
TL;DR: This work proposes a framework which comprises a hyperelastic biomechanical model for better physiological plausibility, gradient-free nonlinear optimization for more flexible choices of models and objective functions, and physiological data fusion of structural and functional images for better subject-specificity.
Quantitation of circumferential syndesmophyte height along the vertebral rim in ankylosing spondylitis using computed tomography.
TL;DR: An algorithm quantitating syndesmophyte height along the entire vertebral rim using the 3-D imaging capability of computed tomography had excellent reliability and good sensitivity to change, and was more highly correlated with spine flexibility than syndsmophyte volume.
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Associations among Pericolonic Fat, Visceral Fat, and Colorectal Polyps on CT Colonography
Jiamin Liu,Sanket Pattanaik,Jianhua Yao,Andrew J. Dwyer,Perry J. Pickhardt,J. Richard Choi,Ronald M. Summers +6 more
TL;DR: To determine the association between pericolonic fat and colorectal polyps using CT colonography (CTC), CTC is used as a method to evaluate the relationship between fat content and polyps in the gut.
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