Seoul National University · Engineering
Professor Jinah Park's research lab focuses on environmental health and digital health technologies, with a strong emphasis on understanding the biological impacts of air pollution—particularly PM2.5—on human cells using advanced imaging techniques like optical diffraction tomography. The lab also investigates the role of digital technologies in healthcare, especially nursing informatics and consumer behavior in digital health platforms such as hotel booking apps. By integrating bioimaging, environmental modeling, and data-driven social science, the lab explores the intersection of environmental exposure, health outcomes, and digital innovation.
Figures are computed from collected data and may differ slightly.
We present a new approach for the analysis of the left ventricular shape and motion based on the development of a new class of volumetric deformable models. We estimate the deformation and complex motion of the left ventricle (LV) in terms of a few parameters that are functions and whose values vary locally across the LV. These parameters capture the radial and longitudinal contraction, the axial twisting, and the long-axis deformation. Using Lagrangian dynamics and finite-element theory, we con
The authors present a new method for analyzing the motion of the heart's left ventricle (LV) from tagged magnetic resonance imaging (MRI) data. Their technique is based on the development of a new class of physics-based deformable models whose parameters are functions. They allow the definition of new parameterized primitives and parameterized deformations which can capture the local shape variation of a complex object. Furthermore, these parameters are intuitive and require no complex post-proc
We present a new method for analyzing the 3D motion of the heart's left ventricle (LV) from tagged magnetic resonance imaging (MRI) data. Our technique is based on the development of a new class of volumetric physics-based deformable models whose parameters are functions and can capture the local shape variation of an object. These parameters require no complex post-processing in order to be used by a physician. These volumetric models allow the accurate estimation of the shape and motion of the
Glucosamine-mediated attenuation of TGF-β signaling ameliorates renal fibrosis in vivo TGF-β1-induced fibrogenic action is reduced by glucosamine in vitro N-glycosylation of the type II TGF-β receptor is suppressed by glucosamine Glucosamine-induced defective N-glycosylation of TβRII decreases TGF-β signaling.
This paper develops a new class of physics-based deformable models which can deform both globally and locally. Their global parameters are functions allowing the definition of new parameterized primitives and parameterized global deformations. These new global parameter functions improve the accuracy of shape description through the use of a few intuitive parameters such as functional bending and twisting. Using a physics-based approach we convert these geometric models into deformable models th
This paper develops a new class of physics-based deformable models which can deform both globally and locally. Their global parameters are functions allowing the definition of new parameterized primitives and parameterized global deformations. These new global parameter functions improve the accuracy of shape description through the use of a few intuitive parameters such as functional bending and twisting. Using a physics-based approach we convert these geometric models into deformable models th
National Research Foundation of Korea, the South Korean Ministry of Environment, and the South Korean Ministry of Education.
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