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.  

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, the presetations and tutorials from which are available via these links:

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.

BIDS Affiliates


Stéfan van der Walt

Senior Research Data Scientist

Daniela Ushizima

Consulting Data Scientist

Kevin Keys

UCSF School of Medicine

Henry Pinkard

Computational Biology

Maryana Alegro

Neurology, UCSF
Alumni - Data Science Fellow