Inverse problems in X-ray phase retrieval and tomography

Session

talks with tutorials / hands-on

4 Apr 2019, 13:30

Workshop room, 5th floor (LINXS)

9. Daniel Pelt, CWI Amsterdam

04/04/2019, 13:30

Improving Tomographic Reconstruction and Analysis Using Mixed-Scale Dense Convolutional Neural Networks

In tomography, acquired projection data are often limited in one or more ways due to unavoidable experimental constraints, leading to inaccurate images. Using machine learning to improve image quality in tomography is a recently proposed solution, for which promising results have been...

10. Jonas Adler, KTH Stockholm

04/04/2019, 14:05

ODL for Machine learning based tomographic image reconstruction

ODL is a python library for inverse problems developed jointly by several research groups and companies. We introduce ODL and how it can be used for variational reconstruction in inverse problems and further demonstrate how ODL can be used as a building block in learned iterative reconstruction methods and for learned optimization.

12. Doga Gursoy

04/04/2019, 14:40

TomoPy and related tools