<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Carlis, J. V.</style></author><author><style face="normal" font="default" size="100%">Safonov, A.</style></author><author><style face="normal" font="default" size="100%">Perrin, D.</style></author><author><style face="normal" font="default" size="100%">Konstan, J. A.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">The neighborhood viewer: a paradigm for exploring image databases</style></title><secondary-title><style face="normal" font="default" size="100%">ACM SIGCHI Conference on Human Factors in Computing Systems</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">brain neighborhood viewer</style></keyword><keyword><style  face="normal" font="default" size="100%">browsing</style></keyword><keyword><style  face="normal" font="default" size="100%">image databases</style></keyword><keyword><style  face="normal" font="default" size="100%">multi-resolution images</style></keyword><keyword><style  face="normal" font="default" size="100%">scientific visualization</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">1997</style></year><pub-dates><date><style  face="normal" font="default" size="100%">03/1997</style></date></pub-dates></dates><urls><related-urls><url><style face="normal" font="default" size="100%">http://grouplens.org/system/files/p299-carlis.pdf</style></url></related-urls></urls><publisher><style face="normal" font="default" size="100%">Association for Computing Machinery</style></publisher><pub-location><style face="normal" font="default" size="100%">Atlanta, Georgia</style></pub-location><pages><style face="normal" font="default" size="100%">299-300</style></pages><isbn><style face="normal" font="default" size="100%">0-89791-926-2 </style></isbn><abstract><style face="normal" font="default" size="100%">&lt;p&gt;The Brain Neighborhood Viewer is a tool developed to help neuroscientists explore massive databases of brain images. The viewer implements an interface paradigm based on stacks of 2D images that are &quot;yoked together&quot; to provide a common coordinate system. When a user navigates in an image stack, all yoked stacks are updated to display the same location, which we call a brain neighborhood. Experience with the neighborhood suggests that this interface is useful for neuroscience research.&lt;/p&gt;</style></abstract></record></records></xml>