NCBC All-Hands Meeting, Bethesda, MD, July 17-19, 2006
CCB Dissemination Session
- Title: Computational Tools for Representation and Analysis of Biological Shape, Form and Size
- Description: A 3-hour CCB tutorial session on Computational Neuroscience at the NCBC AHM, July 19, 2006, 9AM - 12PM, NIH Campus, Bethesda, MD.
- Location: The Visitor's Center at Lister Hill on the NIH campus (Directions).
- Targeted Audience: NIH intramural and extramural researchers, NIH special interest groups, including the Inter-Institute Imaging Group (I3G), National Center for Biomedical Computing All Hands Meeting attendees, other government agencies and academic scientists.
- Session is formally hosted by CCB LSO: Dr. John Haller & PO: Dr. Greg Farber
- Summary: The Center for Computational Biology (CCB) is an NCBC established to develop, implement and test computational biology methods that are applicable across spatial scales and biological systems. The Center’s objective is to help elucidate characteristics and relationships that would otherwise be impossible to detect and measure. The CCB employs an integrative approach, both in terms of the biology and the participating disciplines. The Center focuses on the brain, specifically on neuroimaging, and involves research in mathematics, computational methods and informatics. It also is involved in the development of a new form of software infrastructure – the computational atlas – to manage multidimensional data spanning many scales and modalities. This is specifically applied to the study of brain structure and function in health and disease, but has much broader applicability to both biomedical computing and computational biology.
- Agenda
- RogerWoods – Shape Representation and ShapeViewer (9:00 - 9:45 AM)
- DavidShattuck – Shiva and other CCB Computational Tools (9:45-10:30 AM)
- Chris Lee - Mapping Evolutionary Pathways of HIV-1 Drug Resistance (10:30-11:05)
- Break (11:05-11:15)
- DuyguTosun - Automated Shape feature extraction and modeling (11:15-11:35)
- ZhuowenTu - Volumetric Object Parcellization using Generative & Discriminative Models (11:35-11:55)
- CCB Dissemination Admin Page