Author
Jinah Park
Other affiliations: Hong Kong Polytechnic University, Jinan University, Information and Communications University ...read more
Bio: Jinah Park is an academic researcher from KAIST. The author has contributed to research in topics: Haptic technology & Visualization. The author has an hindex of 16, co-authored 123 publications receiving 1578 citations. Previous affiliations of Jinah Park include Hong Kong Polytechnic University & Jinan University.
Papers published on a yearly basis
Papers
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TL;DR: Residents' perceptions of the risks posed by tourism activity are described, and their willingness to pay to reduce public health risks based on hypothetical scenarios are estimated using the triple-bounded dichotomous choice contingent valuation method.
368 citations
TL;DR: This paper reviewed 211 key papers published between 1968 and 2018 for a better understanding of how the methods of tourism demand forecasting have evolved over time, and found that forecasting models have grown more diversified, that these models have been combined, and that the accuracy of forecasting has been improved.
263 citations
TL;DR: The method was able to characterize the 3-D shape and motion of the LV both locally and globally, in a clinically useful way, and extract quantitative differences between normal and abnormal hearts and visualize them in a way that is useful to physicians.
231 citations
TL;DR: By plotting the variations over time of the extracted LV model parameters from normal and abnormal heart data along the long axis, the authors are able to quantitatively characterize their differences.
Abstract: 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-processing in order to be used by a physician. Using a physics-based approach, the authors convert the geometric models into dynamic models that deform due to forces exerted from the datapoints and conform to the given dataset. The authors present experiments involving the extraction of the shape and motion of the LV's mid-wall during systole from tagged MRI data based on a few parameter functions. Furthermore, by plotting the variations over time of the extracted LV model parameters from normal and abnormal heart data along the long axis, the authors are able to quantitatively characterize their differences.
186 citations
20 Jun 1995
TL;DR: By plotting the variations over time of the extracted LV model parameters from normal heart data, the technique is able to quantitatively analyze and compare the epicardial and endocardial motion.
Abstract: 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 inner and outer walls of the LV as well as within the walls. We also present a new technique for calculating forces exerted by tagged MRI data to material points of the deformable model. Furthermore, by plotting the variations over time of the extracted LV model parameters from normal heart data we are able to quantitatively analyze and compare the epicardial and endocardial motion. >
74 citations
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01 Jan 2006
TL;DR: Probability distributions of linear models for regression and classification are given in this article, along with a discussion of combining models and combining models in the context of machine learning and classification.
Abstract: Probability Distributions.- Linear Models for Regression.- Linear Models for Classification.- Neural Networks.- Kernel Methods.- Sparse Kernel Machines.- Graphical Models.- Mixture Models and EM.- Approximate Inference.- Sampling Methods.- Continuous Latent Variables.- Sequential Data.- Combining Models.
10,141 citations
TL;DR: A look at progress in the field over the last 20 years is looked at and some of the challenges that remain for the years to come are suggested.
Abstract: The analysis of medical images has been woven into the fabric of the pattern analysis and machine intelligence (PAMI) community since the earliest days of these Transactions. Initially, the efforts in this area were seen as applying pattern analysis and computer vision techniques to another interesting dataset. However, over the last two to three decades, the unique nature of the problems presented within this area of study have led to the development of a new discipline in its own right. Examples of these include: the types of image information that are acquired, the fully three-dimensional image data, the nonrigid nature of object motion and deformation, and the statistical variation of both the underlying normal and abnormal ground truth. In this paper, we look at progress in the field over the last 20 years and suggest some of the challenges that remain for the years to come.
4,249 citations
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30 May 2018
TL;DR: Tata Africa Services (Nigeria) Limited as mentioned in this paper is a nodal point for Tata businesses in West Africa and operates as the hub of TATA operations in Nigeria and the rest of West Africa.
Abstract: Established in 2006, TATA Africa Services (Nigeria) Limited operates as the nodal point for Tata businesses in West Africa. TATA Africa Services (Nigeria) Limited has a strong presence in Nigeria with investments exceeding USD 10 million. The company was established in Lagos, Nigeria as a subsidiary of TATA Africa Holdings (SA) (Pty) Limited, South Africa and serves as the hub of Tata’s operations in Nigeria and the rest of West Africa.
3,658 citations
TL;DR: The rapidly expanding body of work on the development and application of deformable models to problems of fundamental importance in medical image analysis, including segmentation, shape representation, matching and motion tracking is reviewed.
2,222 citations