About
The FAME Flagship
FAME – Flagship of Advanced Mathematics for Sensing, Imaging and Modelling is multidisciplinary 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.
News
About the author: Introducing the FAME blog series!
With eight institutions and over 300 researchers in its consortium, the FAME Flagship is supported…
Introducing the “15 Minutes of FAME” webinar series!
As part of the Research Council of Finland’s Flagship Programme, the FAME Flagship is committed…
Big in Japan? The Finnish inverse problems community hosted the first Finland-Japan Workshop in Industrial and Applied Mathematics
A five-day workshop in Helsinki facilitated insightful talks on inverse problems related challenges, approaches, and…
Our contribution
Partners
Output
Data
HSC2024: Open audio dataset
About This training dataset is originally designed for the Helsinki Speech Challenge 2024 (HSC2024). While it was created…
Light Isoflurane Anesthesia
About Open data sharing of fMRI data in rats under light anesthesia. The database of resting state-fMRI data…
KTC 2023
About This dataset is primarily designed for the Kuopio Tomography Challenge 2023 (KTC 2023), but it can be…
Software
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…
DeepACSON
About Automated Segmentation of White Matter in 3D large Electron Microscopy data pipeline. Creators A. Abdollahzadeh, I. Belevich, E. Jokitalo, A. Sierra…