Turning Images to Knowledge: Large-Scale 3D Image Annotation, Management, and Visualization
This conference will focus not on pure image analysis, but will instead stress the importance of extracting useful and biologically relevant descriptions and knowledge from image contents in a systematic, comprehensive and high-throughput way. It will discuss the state-of-the-art in the related fields, and promote the development of critical tools that will accelerate the discovery of useful knowledge from image contents. Among others, participants will discuss topics relevant to how biologists are currently annotating 3D images on different scales, and how these methods can be improved, as well as how to manage complex annotations with regard to ontology and database limitations.
Organizers
Michael Hawrylyz, The Allen Institute for Brain Science
B. S. Manjunath, University of California, Santa Barbara
Maryann Martone, University of California, San Diego
Fuhui Long, Janelia Research Campus/HHMI
Gene Myers, Janelia Research Campus/HHMI
Hanchuan Peng, Janelia Research Campus/HHMI
Invited Participants
Scott Acton, University of Virginia
Douglas Armstrong, University of Edinburgh
Giorgio Ascoli, George Mason University
Mark Biggin, Lawrence Berkeley National Laboratory
William Cohen, Carnegie Mellon University
Scott Fraser, California Institute of Technology
William Gelbart, Harvard University
Luis Ibanez, Kitware, Inc.
Jeff Lichtman, Harvard University
Michael Liebling, University of California, Santa Barbara
Partha Mitra, Cold Spring Harbor Laboratory
Jean-Christophe Olivo-Marin, Institut Pasteur
David Osumi-Sutherland, University of Cambridge
Amit Roy-Chowdhury, University of California, Riverside
Ivo Sbalzarini, Swiss Federal Institute of Technology (ETH), Zurich
Ernst Stelzer, EMBL Heidelberg
Robert Waterston, University of Washington
