Welcome to the Computational Imaging Group (CIG)!

Computational Imaging is a rapidly growing research area at the intersection of image processing, computer vision, physical sciences, and machine learning. Computational Imaging Group (CIG) at Washington University researches new methods for reliable acquisition, efficient processing, and automated analysis of spatiotemporal data. Application include biomedical imaging, material sciences, geospatial intelligence, space exploration, industrial inspection, and consumer electronics. We develop algorithms and theoretical foundations for enabling advanced capabilities in future imaging systems. We have expertise in large-scale optimization, signal and image processing, machine learning, computer vision, and statistical inference. Our research is inherently interdisciplinary and includes collaborations with researchers in optics, medicine, physics, and biology.

To WashU students: If you want to explore research opportunities at CIG go to the list of available projects.



[CIG-2019][CIG-2018]

Latest News

January 2020: Ulugbek delivers an invited talk at IPAM Workshop on Deep Learning and Medical Applications. The video recording of the talk is available here.

January 2020: Two submissions accepted to ISMRM 2020 taking place in 18-23 April 2020 in Sydney, Australia.

December 2019: New preprint Deep learning using a biophysical model for Robust and Accelerated Reconstruction (RoAR) of quantitative and artifact-free R2* images.

December 2019: New preprint RARE: Image Reconstruction using Deep Priors Learned without Ground Truth.

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