An overview of Neural Network techniques for Computed Tomography

by Luis Felipe Barba Flores (PSI - Paul Scherrer Institut)

Wednesday 19 Jun 2024, 11:30 → 13:00 Europe/Zurich

OHSA/B17

Abstract:

This talk delves into the usage of Neural Networks for computed tomography (CT), with a primary focus on sparse reconstructions. We will explore advanced neural network approaches such as Neural Radiance Fields (NeRF), generative models, and other image-based neural networks. The discussion will cover how these techniques enhance image quality, reduce noise, and improve diagnostic precision in CT imaging. Attendees will gain insights into the latest developments in ML applications for CT, including challenges and future research directions, equipping them with knowledge of cutting-edge methods transforming medical imaging.

 

LuisBarba_DeepLearningCT_190624(1).mp4