ImageXD - Images Across Domains

Incredible advances are being made in image processing techniques, tools, and sampling modalities which, together with an increased accessibility to modern imaging equipment, has made image data ubiquitous across many fields, with scales ranging from microscopy to radio astronomy.  

The ImageXD annual workshops aim to:

  1. Foster a cross-disciplinary community of image processing experts from academia, research, and industry;
  2. Develop a shared understanding of image processing data, algorithms, and software; and
  3. Learn about new tools and methods, and the applicability of these to various discipline-specific problems, through tutorials and collaborative work sessions.

ImageXD was founded by BIDS and UW's eScience Institute, our partners in the Moore-Sloan Data Science Environments (MSDSE), to address these challenges. ImageXD comprises researchers from a variety of fields who work with images as a primary source of data. Our goal is to identify common principles, algorithms, and tools to build computational platforms to solve image analyses problems across disciplinary boundaries.

ImageXD holds annual workshop - video presetations and tutorials are available via these links:

 

BIDS Affiliates

Leader

Stéfan van der Walt

Senior Research Data Scientist
Leader

Daniela Ushizima

BIDS Alumni - Consulting Data Scientist

Adam G. Anderson

Research Training Program Manager