Turning Images to Knowledge: Large-Scale 3D Image Annotation, Management and Visualization
A follow-up to the first held in spring 2010, this conference focused not on pure image analysis, but instead stressed the importance of extracting useful and biologically relevant descriptions and knowledge from image contents in a systematic, comprehensive and high-throughput way. We will review the state-of-the-art in the related fields, and promote the development of critical tools to accelerate the discovery of useful knowledge from image contents. Among others, participants discussed topics relevant to how biologists and biomedical researchers 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
Erik Meijering, Erasmus MC - University Medical Center Rotterdam
Gene Myers, Max Planck Institute of Molecular Cell Biology and Genetics
Hanchuan Peng, Janelia Research Campus/HHMI
Invited Participants
Manfred Auer, Lawrence Berkeley National Lab
Chandrajit Bajaj, University of Texas at Austin
Zhirong Bao, Sloan-Kettering Institute
Gaudenz Danuser, Harvard Medical School
James Duncan, Yale University
Kevin Eliceiri, University of Wisconsin-Madison
Michael Hawrylycz, Allen Institute for Brain Science
Tianzi Jiang, Chinese Academy of Sciences
Boudewijn Lelieveldt, Leiden University Medical Center
Stephen Lockett, National Cancer Institute- Frederick
Fuhui Long, Janelia Research Campus/HHMI
Anant Madabhushi, Rutgers University
B. Manjunath, University of California, Santa Barbara
Dimitris Metaxas, Rutgers University
Anne Plant, National Institute of Standards and Technology
William Ryu, University of Toronto
Jianbo Shi, University of Pennsylvania
Tanveer Syeda-Mahmood, IBM Almaden Research Center
Dimitrios Vavylonis, Lehigh University
Yue Wang, Virginia Tech Research Center - Arlington
Robert Waterston, University of Washington
Yihong Yang, National Institute on Drug Abuse/NIH
