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

Congrats to Sayantan and Varun for getting their IEEE TMI paper on hallucinations published!

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Our recent paper in IEEE TMI: Second Special Issue on Machine Learning for Image Reconstruction formally defines the notion of hallucinations due to regularized reconstruction methods in tomographic imaging.

Paper: https://arxiv.org/abs/2012.00646

Code: https://github.com/comp-imaging-sci/hallucinations-tomo-recon

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Computational Imaging Science Laboratory

Email: maa@illinois.edu