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

Computational Methods for Neuroimaging

We are engaged in a variety of research projects related to machine learning in neuroimaging applications, in collaboration with Dr. Joseph Culver, Dr. Jin-Moo Lee and Dr. Eric Landsness.

  • Deep learning for wide-field calcium imaging
  • Image reconstruction for improved diffuse optical tomography

Computational Imaging Science Laboratory

Email: maa@illinois.edu