IMAGING AND DATA SCIENCE LAB

Transforming signals/images/data into knowledge through mathematics, computation, and machine learning

The Imaging and Data Science Laboratory at the University of Virginia advances the science of imaging, signal analysis, and data-driven discovery. Our mission is to develop rigorous mathematical, computational, and machine learning methods that transform complex signals and images into meaningful knowledge and technollgy. Check out the research section and publications to learn about our latest projects and papers.

Selected latest news:

• 04/26: Dr. Natasha Ironside delivers the UVA BME departmental seminar at the University of Virginia.

• 03/26: Dr. Ivan Medri delivers the seminar "Optimal Transport as a Transform for Scalar Conservation Laws"  at he Potomac Region PDE seminar.

• 03/26: Gromov-Wasserstein Barycenters: The Analysis Problem: arXiv (Accepted for publication in SIMODS-March 26).

• 12/25: Professor Rohde delivers the inaugural Applied Mathematics Colloquium at the University of Virginia.

• 10/25: Professor Rohde delivers Mathematics department seminar, University of Nebraska-Lincoln.

• 09/25: Professor Rohde delivers BME department seminar at George Washington University.

• 08/25: Professor Rohde receives the Mac Wade Professor of Engineering endowed chair at the University of Virginia.

• 04/25: Professor Rohde becomes an AIMBE Fellow .

• 12/24: End-to-end signal classification using the Signed CDT: press.

• 08/24: MRI-based classification of genetic copy number variations in autism: press.