BIOINFORMATICS SEMINAR SERIES
California State University, San Bernardino
Summer 2008 Fellowship at the
Center for Bio-Image Informatics
University of California, Santa Barbara

27 October 2008 Mon, 
In JBH 360

2:00 - 2:30 pm, DEEPAK BALI
TITLE - Querying Significant Patterns in Image Database
ABSTRACT
Image retrieval is becoming an increasingly important tool in biological 
studies and hence developing tools for effective image analysis becomes 
significant. Over the 2 months seminar, I engaged myself into developing an
easy to use web interface for biologists and non-biologists alike that can
help them search images in large image databases and search them against 
structurally similar ones. The interface will enable users to compare 
similarities between images based on their color distribution and help
scientist store crucial information for future searches.

2:30 - 3:00 pm, MATTHEW  STRADER
TITLE - A Benchmarking Website
ABSTRACT
The importance of evaluating image analysis algorithms is the ability to 
compare the effectiveness of algorithms that attempt to solve the same 
class of problem. With a comprehensive score that incorporates all of the 
metrics important to a particular class of problem, one algorithm may be 
deemed more effective than another. Competition among
algorithms facilitates the sharing of ideas and the progression towards 
better algorithms. A benchmarking website makes image datasets available 
for algorithm designers to test their image analysis algorithms and to 
receive feedback on how their algorithms compare to others.

3:00 - 3:30 am, ARAM ACEMYAN
TITLE -  Evaluating the Performance of 3D Nuclei Detection Algorithms
ABSTRACT
In the growing field of biological computing it has become important to 
create standard methods of evaluating segmentation and detection 
algorithms. With many researchers coming up with there own methods of 
segmentation it is important to have a way to score each algorithm and 
determine who's algorithms are performing best. These evaluation
algorithms are important for creating benchmarks for Evaluation and 
Analysis. The 3D Nuclei Detection Evaluation that i have created will be 
used to rate the results of 3D Nuclei Detection algorithms.

Sponsored by the Department of Computer Science & Engineering and the 
Computer Science & Engineering Club.