Workshop on Mathematical Methods in Biomedical Image Analysis

Biomedical image analysis is a fast evolving field driven by the advancement of imaging modalities and high content screening techniques. Many clinical applications are also emerging that use biomedical image processing for decision support. The different types of modality images present considerable challenges and opportunities for the development of novel analysis algorithms. The workshop will provide an interdisciplinary forum for researchers involved in all aspects of the biomedical images analysis, with the focus on new developments in computational techniques for the analysis of biomedical image data. Our goal is to foster discussion of mathematical approaches to biomedical image analysis and modeling in a more focused manner than can be addressed in the main tracks of the CVPR conference.
The workshop will bring together researchers in computational vision, medical imaging, computational biology, graphics and robotics communities interested in problems that involve mathematical modeling or analysis in biomedical images. Unlike previous workshops, we will expand the scope of the biomedical images to include not only medical imaging data but also exciting molecular and cellular imaging data arising from confocal microscopes. It calls for original, high-quality submissions that address innovative research and development of biomedical image analysis. The final program will consist of previously unpublished and contributed papers, with substantial time allocated to discussion.