activity
20202025
most citedThe MICADO first light imager for the ELT: off-axis performance of PSF reconstruction

5 citations · 7 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CE2025

Computational design of personalized drugs via robust optimization under uncertainty

Rabia Altunay, Jarkko Suuronen, Eero Immonen +2

Effective disease treatment often requires precise control of the release of the active pharmaceutical ingredient (API). In this work, we present a computational inverse design app…

astro-ph.IM2024★ 5 cited

The MICADO first light imager for the ELT: off-axis performance of PSF reconstruction

Matteo Simioni, Daniel Jodlbauer, Carmelo Arcidiacono +14

The highest scientific return, for adaptive optics (AO) observations, is achieved with a reliable reconstruction of the PSF. This is especially true for MICADO@ELT. In this present…

stat.CO2022

Bayesian inversion with α-stable priors

Jarkko Suuronen, Tomás Soto, Neil K. Chada +1

We propose to use Lévy α-stable distributions for constructing priors for Bayesian inverse problems. The construction is based on Markov fields with stable-distributed increments.…

cs.CE2022★ 2 cited

Geometry parameter estimation for sparse X-ray log imaging

Angelina Senchukova, Jarkko Suuronen, Jere Heikkinen +1

We consider geometry parameter estimation in industrial sawmill fan-beam X-ray tomography. In such industrial settings, scanners do not always allow identification of the location…

eess.SP2022

Reconstruction and segmentation from sparse sequential X-ray measurements of wood logs

Sebastian Springer, Aldo Glielmo, Angelina Senchukova +5

In industrial applications, it is common to scan objects on a moving conveyor belt. If slice-wise 2D computed tomography (CT) measurements of the moving object are obtained we call…

stat.CO2021

Cauchy Markov Random Field Priors for Bayesian Inversion

Neil K. Chada, Lassi Roininen, Jarkko Suuronen

The use of Cauchy Markov random field priors in statistical inverse problems can potentially lead to posterior distributions which are non-Gaussian, high-dimensional, multimodal an…

cs.CE2020

Enhancing Industrial X-ray Tomography by Data-Centric Statistical Methods

Jarkko Suuronen, Muhammad Emzir, Sari Lasanen +2

X-ray tomography has applications in various industrial fields such as sawmill industry, oil and gas industry, chemical engineering, and geotechnical engineering. In this article,…