ISMRM 23rd Annual Meeting & Exhibition • 30 May - 05 June 2015 • Toronto, Ontario, Canada
WEEKEND EDUCATIONAL COURSE
Big Data: A Primer on Models & Methods
SKILL LEVEL: Basic
ORGANIZERS: Brian B. Avants, Ph.D. & James C. Gee, Ph.D.
Sunday, 31 May 2015
 
OVERVIEW
"Big Data" represents the next frontier in biomedical data processing and analysis, and within the context of MRI concerns population-scale imaging and frequently its integrative analysis with large-scale ancillary data. This half-day course will introduce the core concepts and methods underlying some of the major approaches in this emerging field as well as the challenges and opportunities associated with their development and application in big data science.
 
TARGET AUDIENCE
Medical physicists and investigators who will benefit from learning about the new field of big data science and its relevance to the analysis of large-scale imaging studies.
 
EDUCATIONAL OBJECTIVES

Upon completion of this course, participants should be able to:

  • Describe the rationale and goals of big data science;
  • Describe the contemporary approaches employed in the analysis of big data; and
  • Describe the opportunities and challenges of methods development, implementation and application in big data science.
 

PROGRAM

Moderators: Brian B. Avants, Ph.D. & James C. Gee, Ph.D.
       
08:00 Frontiers in Massive/Big Data Analysis
Vince D. Calhoun, Ph.D.		  
08:30 Kernelized Methods
 Tom Fletcher, Ph.D.		  
09:15 Graph-Theoretical Methods
John D. Medaglia, Ph.D.		  
       
10:00   Break & Meet the Teachers  
       
10:30 Statistical Learning
 Ruslan Salakhutdinov		  
11:15 Mutivariate/Modal Modeling & Analysis
 Brian Avants, Ph.D.		  
       
12:00   Adjournment & Meet the Teachers