About
The FAME Flagship
FAME – Flagship of Advanced Mathematics for Sensing, Imaging and Modelling is a multidisciplinary competence centre harnessing applied mathematics and physics for the benefit of the society. FAME will support economic progress in Finland through strong interaction with industry, training of experts, and boosting innovations and start-up companies. It increases global wellness through solutions for healthcare, clean industry, and sustainable environment. Furthermore, FAME supports mathematical skills and interest in science among children and young people, and contributes to mathematical training globally.
The FAME Flagship is part of the Research Council of Finland’s Flagship Programme.
Hall of FAME 2025 out now!
Hall of FAME is the FAME Flagship’s official yearbook.
With different scientific meetings, networking events, exhibitions, workshops, doctoral training efforts, and outreach activities both at home and overseas, FAME has been hard at work during its second year of operation.
News
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Shoot first, ask questions later: A Finnish dissertation explores inverse problems in digital photography
The significance of mathematics for the ever-present digital photography goes often unnoticed. An open dataset…
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…
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…
Our contribution
Partners
University of Eastern Finland
Aalto University School of Science
University of Helsinki
Finnish Meteorological Institute
University of Jyväskylä
LUT University
University of Oulu
Tampere University
Output
Data
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…
Helsinki Region Travel Time Matrix 2018-2023
About This travel time matrix records travel times and travel distances for routes between all centroids (N = 13132) of…
Airborne sea ice parameters during the IceBird Winter 2019 campaign in the Arctic Ocean, Version 2
About Airborne multi-instrument measurements of sea ice were made in April 2019 during the winter campaign of the…
Software
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 of hot…
A Numerical Computed Tomography Simulator
About CTlab is virtually implemented medical imaging device, which can be widely used in computed tomography training for all professionals who use…
MCMCstat
About MCMCstat is a popular Matlab toolbox for Bayesian parameter estimation in non-linear models using Markov chain Monte Carlo (MCMC) simulation. It…