FCAI and FAME SIG

AI for inverse problems and imaging

Coordination: Professor Jussi Tohka (University of Eastern Finland), Doctoral Researcher Siiri Rautio (University of Helsinki)

Read the news about the launch of this joint SIG here →

Ill-posed inverse problems are those where information that is sought cannot be measured or observed directly, but instead, finding solutions from the available observations is ill-posed in the sense that even small uncertainties in measurements or modelling can cause large errors in the solution. These inverse problems arise, for example, in medical imaging. Ill-posed problems are approached using special methods of inverse mathematics. Development and implementation of experimental systems and instrumentation for such problems requires strong interplay between modelling and measurements.

Various AI-based methods have emerged as powerful alternatives to traditional mathematical and computational methods to solve inverse problems. AI, neural networks in particular, have successfully been applied to 1) data-driven regularization, 2) non-linear modelling, 3) handling uncertainty, 4) providing computational scalability in inverse problems research.   

Objectives

FCAI and FAME SIG AI for inverse problems and imaging aims to bring together experts and research groups in different research organizations in Finland to exchange ideas and collaborate. In particular, the SIG brings together two flagships of Research Council of Finland focused on methodology development, FCAI (Finnish Center for Artificial Intelligence) and FAME (Flagship of Advanced Mathematics for Sensing, Imaging and Modelling) to combine forces in the development of novel technologies.

Activities

We organize workshops, seminars and networking events to support collaboration among research groups and the stakeholders and utilize the synergies between the two flagships.

People

The following researchers with their groups take part in the SIG. If you would like to join the SIG, please contact the coordinators.

  • Peter Dendooven (University of Helsinki)

  • Andreas Hauptmann (University of Oulu)

  • Tapio Helin (LUT University)

  • Gregor Hillers (University of Helsinki)

  • Nuutti Hyvönen (Aalto University)

  • Toni Karvonen (LUT University)

  • Ville Kolehmainen (University of Eastern Finland)

  • Marko Laine (Finnish Meteorological Institute)

  • Meghdoot Mozumder (University of Eastern Finland)

  • Jenni Poimala (University of Eastern Finland)

  • Siiri Rautio (University of Helsinki) – Coordinator

  • Johanna Tamminen (Finnish Meteorological Institute)

  • Jussi Tohka (University of Eastern Finland) – Coordinator