The International Congress on Industrial and Applied Mathematics (ICIAM) will take place in the beautiful town of Valencia, Spain in mid July. It’s gonna be a big, exciting meeting with thousands of participants. Check out the program. Joana Grah, Martin Benning and I are organizing a symposium on “Deep Learning and Inverse Problems”.
The Applied Inverse Problems Conference (AIP) will take place in Grenoble, France, this year. Together with Sophia Coban, Tatiana Bubba, Samuli Siltanen, I organize a minisymposium called “Tomographic Imaging: Recent Advances, Exciting Applications and New Horizons”.
Together with my colleagues at CWI, we just released a large collection of tomography scans designed for developing machine learning approaches to tomographic image reconstruction. All details can be found in the accompanying paper on arXiv. We also prepared a collection of Python and MATLAB scripts for loading, pre-processing and reconstructing the data on on github. The complete data set is on zenodo and can be found via the following links: 1-8, 9-16, 17-24, 25-32, 33-37, 38-42. A big thanks to all my colleagues, in particular to Henri der Sarkissian!
Over the years, I wrote a large number of all kinds of auxiliary MATLAB functions for my various projects in mathematical imaging. I recently decided to share them on GitHub as a toolbox and put some effort into commenting and standardizing them. Hope someone finds them useful, I will do the same with my collection of numerical optimization algorithms.
Together with a team of researchers and clinicians from the Centre for Translational Cardiovascular Imaging, Great Ormond Street Hospital for Children we started an exciting project on using deep learning to improve cardiac imaging for children with congenital heart diseases. A first proof-of-concept study on using a U-Net-type CNN for real‐time reconstruction of dynamic, under-sampled cardiovascular MR just got published in Magnetic Resonance in Medicine. Big thanks to the team!