Deep Imaging

Interactive explorations of AI in medical imaging

These demonstrations are side projects building from my research on quantitative and computational MRI at the University of Minnesota, seeking to extract deeper information from medical imaging data to better guide clinical decision making.

Explore the projects

Interactive Image Processing with AI

Explore how interactive denoising and super-resolution can give a deeper understanding of MR images while remaining grounded in the evidence of the image data.

Explore IIPAI
IIPAI interactive image enhancement demo

Quantitative Parameter Estimation

In this project, convolutional neural networks are trained to encode both image statistics and physics-guided signal models, giving more accurate parameter estimation and increased robustness to noise. Interact with the imaging data to experience this impact firsthand.

Explore QPE
QPE quantitative MRI parameter estimation demo