Computational Imaging Science Laboratory

LAB MEMBERS RESEARCH
  • Photoacoustic Computed Tomography (PACT)
  • Ultrasound Computed Tomography (USCT)
  • Deep learning for objective image quality assessment
  • Image reconstruction using machine learning
  • Computational Methods for Neuroimaging
  • Frameworks for Virtual Imaging Trials
  • X-Ray Phase-Contrast (XPC) Imaging and Tomography
  • Deep Learning for Microscopy Image Analysis
  • Other Projects
RECENT PUBLICATIONS DOWNLOADABLE CONTENT OPEN POSITIONS

Image reconstruction using machine learning

We are engaged in a variety of research projects related to the use of machine learning for solving imaging inverse problems. The following projects are included in this category:

  • Compressed sensing using generative models
  • Prior image-constrained reconstruction using StyleGANs
  • Hallucinations in tomographic imaging

Computational Imaging Science Laboratory

Email: maa@illinois.edu