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    <title>Chung, A.C.S.</title>
    <link>http://repub.eur.nl/res/aut/53446/</link>
    <description>List of Publications</description>
    <language>en</language>
    <image>
      <url>http://repub.eur.nl/static-eur/img/logo.png</url>
      <title>RePub, Erasmus University Rotterdam</title>
      <link>http://repub.eur.nl</link>
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    <item>
      <title>A single-period inventory placement problem for a supply system with the satisficing objective (Article)</title>
      <link>http://repub.eur.nl/res/pub/38800/</link>
      <pubDate>2013-02-01T00:00:00Z</pubDate>
      <description>Consider the inventory placement problem in an N-stage supply system facing a stochastic demand for a single planning period. Each stage is a stocking point holding some form of inventory (e.g.; raw materials, subassemblies, product returns or finished products) that after a suitable transformation can satisfy demand. Stocking decisions are made before demand occurs. Unsatisfied demands are lost. The revenue, salvage value, ordering, transformation, and lost sales costs are proportional. There are fixed costs for utilizing stages for stock storage. The objective is to maximize the probability of achieving a given target profit level. We prove the existence of optimal stocking decisions where at most three stages receive nonzero stocks. We also characterize properties of the optimal stocking decisions and provide an O(N3) algorithm for their computation. For the special case where all fixed costs are zero, the stages utilized do not depend on the demand distribution or the target level, and one can find optimal stocking decisions by performing a simple O(N2) search and solving a single-variable optimization problem. </description>
    </item> <item>
      <title>Evaluation framework for carotid bifurcation lumen segmentation and stenosis grading (Article)</title>
      <link>http://repub.eur.nl/res/pub/34299/</link>
      <pubDate>2011-08-01T00:00:00Z</pubDate>
      <description>This paper describes an evaluation framework that allows a standardized and objective quantitative comparison of carotid artery lumen segmentation and stenosis grading algorithms. We describe the data repository comprising 56 multi-center, multi-vendor CTA datasets, their acquisition, the creation of the reference standard and the evaluation measures. This framework has been introduced at the MICCAI 2009 workshop 3D Segmentation in the Clinic: A Grand Challenge III, and we compare the results of eight teams that participated. These results show that automated segmentation of the vessel lumen is possible with a precision that is comparable to manual annotation. The framework is open for new submissions through the website http://cls2009.bigr.nl. </description>
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