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Latest projects

Deep learning for image processing and image reconstruction:

  • Material decomposition in spectral CT using deep learning

  • Denoising for single-pixel hyperspectral imaging

  • Residual Prior Image based denoising

  • Deep iterative reconstruction methods

Transfer learning:

  • Learned detector response function for spectral CT 

  • A Sim2Real transfer learning approach

Computer vision:

  • Video object detection

  • Image and video restoration

Natural language processing:

  • Named entity recognition (NER)

  • ChatGPT Prompts for Text Analysis

Previous projects

Compressed Sensing for Preclinical and Clinical Applications:  

  • Hyperpolarized gas lung MRI

  • Cardiac-cine MRI 

  • Functional MRI

  • Respiratory-gated CT

  • Limited-view CT

4D Image Reconstruction Methods:  

  • Contrast-enhanced CT

  • Dynamic PET imaging

Other inverse problems and applications: 

  • Fluorescence Molecular Tomography (FMT) for small-animal studies

  • Non-Destructive Testing (NDT) using Eddy-current imaging 

  • Electrical impedance tomography (EIT) of brain function

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