ICML-UAI-COLT 2009 Workshop on

Automated Interpretation and Modeling of Cell Images

(Cell-Image Learning 2009)

When:
Jun 18, 2009
Where:
Montreal, Canada
Submission Deadline:
Apr 20, 2009 May 8, 2009
Notification Due:
May 16, 2009
Final Version Due:
Jun 13, 2009


In conjunction with 2009 ICML-UAI-COLT , June 18, 2009, Montreal, Canada


Dramatic advances in fluorescent probe development, new fluorescence microscope designs to achieve greatly improved temporal and spatial resolution, and significant advances in digital camera and computer technology have enabled increasing use of fluorescence microscopy for quantitative, large scale studies of cell behavior. The high volume and high quality of images resulting from these studies has created and will continue to create many opportunities for computational analysis, especially in the realm of computer vision, machine learning and UAI. Successful results have been reported in the literature on determining sub-cellular phenotypes, understanding cell structure and dynamics, reconstruction of the wiring diagram of neurons, drug discovery and cancer diagnosis. Existing relevant machine learning and UAI techniques include, but are not limited to: classification, clustering, graphical models, graph-theoretic approaches, kernel methods, link analysis, Monte Caro methods, semi-supervised/unsupervised learning and stochastic modeling.

This workshop is to bring together interdisciplinary researchers to present and discuss emerging challenges and research issues that arise when realizing fully-automated intelligent analysis of cell images due to recent advances in cell imaging capabilities to discover new biological knowledge about cell structure and function. The focus of this workshop will be on emerging challenges and research issues that arise when realizing fully-automated intelligent analysis of cell images due to recent advances in cell imaging capabilities to discover new biological knowledge about cell structure and function. Discussions of new issues overlooked in the major conferences will be especially encouraged.

The workshop program will include:
  • Invited talks;
  • Paper and poster representations;
  • Panel Discussions on open issues and opportunities for ML/UAI researchers, sharing of image data sets and source codes and standardization
Accepted papers will be put together into an on-line proceeding.

Organizers


Confirmed Invited Speakers

  • Roland Eils, DKFZ, Germany
  • Yoav Freund, UCSD, USA
  • Badri Roysam, RPI, USA
  • Thouis R. Jones, MIT, USA
  • Eric Xing, CMU, USA
  • and more...