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Julien Amelot
Also published under:J. Amelot
Affiliation
National Institute of Standards and Technology
Topic
Computational Resources,Computer Cluster,Flat Field,Image Feature Extraction,Stem Cells,2D Images,3D Volume,Advanced Visualization,Application Programming Interface,Background Correction,Benchmark Test,Client-side,Cluster Configuration,Cluster Nodes,Computational Efficiency,Computer Image,Graphics Processing Unit,Green Fluorescent Protein,Hadoop Cluster,Hadoop Distributed File System,Hardware Architecture,High Statistical Significance,Image Features,Image Filtering,Image Processing,Image Processing Operations,Image Pyramid,Image Retrieval,Image Tiles,Imaging Modalities,Interactive,Interactive Visualization,Large Image,Large Spatial Areas,Machine Learning,Map Tasks,Masked Images,Mesenchymal Stem Cells,Message Passing Interface,Open-source,Orthogonal Planes,Parallel Efficiency,Prediction Model,Pyramidal Layer,Quality Measures,Quantitative Measures,Raw Images,Redesign,Relative Efficiency,Reprojection,
Biography
Julien Amelot is a senior software engineer at GEICO. His research interests include image processing, machine learning, data mining, interactive visualization, and distributed computing for big data. While performing the research reported in this article, Amelot was a data scientist and software engineer at NIST. He received an MS in computer science from Ecole Supérieure d'Informatique et Applications de Lorraine (ESIAL). Contact him at [email protected].