The CISL performs research on a wide variety topic related to computational imaging science. Many of these projects involve a blending of imaging principles, computational science, and machine learning.

Much of our research is aimed at the development of new imaging technologies that include:

• Photoacoustic Tomography (PACT)
• Ultrasound Imaging Tomography (USCT)
• X-Ray Phase Contrast Imaging

We also conduct research related to the use of machine learning in imaging science, which include:

• Image reconstruction using machine learning
• Machine learning-based numerical observers

And others topics in:

• Computation Methods for Neuroimaging
• Deep Learning for Microscopy Image Analysis
• Framework for virtual imaging trials for PACT and USCT