Hannah Dee

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In a time of escalating costs for patients and hospitals, waste-reduction strategies in healthcare are increasingly relevant and worthy of consideration. Within anesthesia departments, a significant portion of the operating budget is devoted to pharmaceuticals; wastage of anesthesia drugs is common and a possible target for cost-reduction strategies(More)
Gestational diabetes mellitus (GDM) is a well-characterized disease affecting a significant population of pregnant women worldwide. It has been widely linked to undue weight gain associated with factors such as diet, obesity, family history, and ethnicity. Poorly controlled GDM results in maternal and fetal morbidity and mortality. Improved outcomes(More)
Plant phenotyping is the identification of effects on the phenotype (i.e., the plant appearance and behavior) as a result of genotype differences (i.e., differences in the genetic code) and the environment. Previously, the process of taking phenotypic measurements has been laborious, costly, and time-consuming. In recent years, noninvasive, imagingbased(More)
s Talks 1. Automated phenotyping of root behavior in mutant and naturally varying populations Prof Edgar Spalding, University of Wisconsin Plant biologists are justified in pursuing a comprehensive mapping of genotype to phenotype because the goal is important and the genomic half of the equation in some reference systems is highly developed. However,(More)
AbstractSchistosomiasis is a parasitic worm infection that affects over 260 million individuals worldwide. Women with schistosome infections have been demonstrated to have a 4-fold increase in the odds of human immunodeficiency virus (HIV) infection compared with women without schistosome infections. A relationship between schistosome and HIV infections has(More)
In this work, we present a system for the automated classiffication of seabed substrates in underwater video. Classiffication of seabed substrates traditionally requires manual analysis by a marine biologist, according to an established classiffication system. Accurate, consistent and robust classiffication is difficult in underwater video due to varying(More)
UPGRADE is the anchor point for UPENET (UPGRADE European NETwork), the network of CEPIS member societies’ publications, that currently includes the following ones: • Informatica, journal from the Slovenian CEPIS society SDI • Informatik-Spektrum, journal published by Springer Verlag on behalf of the CEPIS societies GI, Germany, and SI, Switzerland • ITNOW,(More)
In this work, we present a system for the automated classification of seabed substrates in underwater video. Classification of seabed substrates traditionally requires manual analysis by a marine biologist, according to an established classification system. Accurate, consistent and robust classification is difficult in underwater video due to varying(More)
We present a practical approach to capturing ear-to-ear face models comprising both 3D meshes and intrinsic textures (i.e. diffuse and specular albedo). Our approach is a hybrid of geometric and photometric methods and requires no geometric calibration. Photometric measurements made in a lightstage are used to estimate view dependent high resolution normal(More)
In this paper we propose a multi-scale Azimuthal Projection Distance Image scheme for analysing 3D texture and use it in classifying wrinkles and pores on high resolution facial normal maps. Azimuthal Projection Distance Images (APDI) have been widely used for mapping normals’ orientation to scalar values on a tangent plane. The multiscale scheme we(More)