Microcourse on computational inversion
Graduate school in inverse problems,Hiroshima University, Japan, January 15, 2020.
Graduate school in inverse problems,Hiroshima University, Japan, January 15, 2020.
Applied Mathematics Colloquium,Hiroshima University, Japan, January 15, 2020. PDF (24 MB)
12th Finnish Mathematical Days 2020, Oulu, Finland, January 3, 2020. PDF (22 MB)
Tomography aims to reveal the internal structure of a patient based on X-ray images taken from different directions. The resulting slice image is formed with a mathematical algorithm.
This video is the first in the series “Introduction to inversion”, in which I will reveal the secrets of the study of inversion problems.
I demonstrate a basic three-rule model for flocking behaviour in a school of fish. You can find the Matlab codes here.
Matrix theory is a beautiful and useful area of mathematics. It is used in the solution of most engineering problems.
Gray-box machine learning for electrical impedance tomography, Inverse Days, Paviljonki conference center, Jyväskylä, Finland, December 18, 2019. PDF (12 MB) Invited talk: The magic of math: three-dimensional X-ray vision, Physics Colloquium, University of Groningen, the Netherlands, November 28, 2019. PDF (36 MB) Invited talk: The inverse problems theory behind X-ray tomography, Enabling Data-Driven Methods for Inverse Problems in 3D Imaging: Uniting
Electrical impedance tomography and virtual X-rays, Inverse Days, Aalto University, Helsinki, Finland, December 13, 2018. PDF (8 MB) Invited talk: The magic of math: X-ray vision, The Maths of Biology, Mittag-Leffler Institute, Stockholm, Sweden, October 10, 2018. PDF (25 MB) Invited talk: Dynamic Sparse X-ray Tomography, Seminar at Université Paris-Sud, France, September 18, 2018. PDF (30 MB) Invited talk: Three-dimensional X-ray Vision by Sparse
Electrical impedance tomography imaging via the Radon transform, 23rd Inverse Days, Oulu, Finland, December 12, 2017. PDF (5 MB) Keynote talk: Modern X-ray vision: 3D imaging with sparse data, Finland at CERN event, CERN, Geneva, Switzerland, November 2, 2017. PDF (21 MB) Minicourse Introduction to sparse-data X-ray tomography, Thematic Program Parameter Identification in Mathematical Models: Applications to PDE’s and Integral Equations,IMPA – Instituto