The highlight of the year for the Finnish inverse problems community gathers over 200 participants to Helsinki
From a small gathering to a multi-day international conference, the Inverse Days has evolved into one of the largest annually […]
Inverse Days 2025
Registration for the Inverse Days 2025 has closed on 14 November. Since 1997, Finland’s active inverse problems community has been
I can see clearly now, the gray is gone: A new dissertation proposes solutions to improve the material decomposition in spectral CT
A novel regularization method was investigated to separate different materials from each other more clearly in CT reconstructions. Successful tests
Diplomacy, lasers, and “lonkero”: FAME took part in a Finnish business and research delegation to the State of Colorado
On 11-14 November, the FAME Flagship had an opportunity to be part of promoting Finnish scientific excellence overseas with Vice
Science and diplomacy in Colorado
Colorado is a state of top-level science, stunning nature, and delicious craft beer. My colleague Ville Kolehmainen and I share
Public defence: Novel Algorithms for Material Decomposition and Classification in Spectral CT Imaging
Doctoral Researcher Salla-Maaria Latva-Äijö will defend her doctoral dissertation Novel Algorithms for Material Decomposition and Classification in Spectral CT Imaging
15 Minutes of FAME: Multiscale Imaging of the Brain
15 Minutes of FAME is the FAME Flagship’s monthly open morning coffee webinar series in which the Flagship’s researchers and partners
For peat’s sake: FAME Principal Investigator will take part in the new Research Council of Finland Centre of Excellence
The new Research Council of Finland Centres of Excellence have been selected. A Principal Investigator from FAME will join one
Cone-Beam Computed Laminography Dataset of a Keyboard Circuit Board
About This dataset contains X-ray projection images of a keyboard circuit board acquired using a cone-beam computed laminography (CBCL) scanner. The dataset also includes
Python software library for data-driven emission quantification
About We present a Python software library for data-driven emission quantification (ddeq). It can be used to determine the emissions