Imaging and Deep Learning

An introduction to imaging systems and deep learning. Sensor devices capturing energy across the electromagnetic spectrum provide a rich gamut of images that can be processed digitally for applications including medical imaging, surveillance, remote sensing, and consumer electronics.

This course provides fundamental mathematical tools for image analysis, covering forward and inverse models, sampling, sensors, Fourier analysis, computed tomography, synthetic aperture radar, and deep learning for imaging and computer vision.

Looking for a previous offering? See Imaging and Deep Learning (2025).