Tuan A. Pham

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Finding the outline of an object in an image is a fundamental step in many vision-based applications. It is important to demonstrate that the segmentation found accurately represents the contour of the object in the image. The discrepancy measure model for segmentation analysis focuses on selecting an appropriate discrepancy measure to compute a score that(More)
Empirical scoring functions used in protein-ligand docking calculations are typically trained on a dataset of complexes with known affinities with the aim of generalizing across different docking applications. We report a novel method of scoring-function optimization that supports the use of additional information to constrain scoring function parameters,(More)
INTRODUCTION Improving patient identification (ID), by using two identifiers, is a Joint Commission safety goal. Appropriate identifiers include name, date of birth (DOB), or medical record number (MRN). OBJECTIVES The objectives were to determine the frequency of verifying patient ID during computerized provider order entry (CPOE). METHODS This was a(More)
Analyses of biomedical images often rely on demarcat-ing the boundaries of biological structures (segmentation). While numerous approaches are adopted to address the segmentation problem including collecting annotations from domain-experts and automated algorithms, the lack of comparative benchmarking makes it challenging to determine the current(More)
Motivation – The complex nature of health care processes requires new methods for describing, capturing and improving these processes. Research approach – We deployed a novel combination of methods-formal process modeling using a language called Little-JIL, simulations with embedded errors, observations, and eye tracking technology-to gauge how health care(More)
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