We apply our expertise to diverse fields beyond our core research areas, developing tailored quantitative imaging approaches for complex challenges in:
medical imaging (e.g., MRI)
computational neuroscience (e.g., modelling of visual illusion)
material science (e.g., stability analysis of perovskite solar cells)
and beyond. Taking into account the specificity of the application at hand, we use variational and integro-differential models possibly combined with deep parameterizations of the quantities of interest for improved quality. These collaborations demonstrate the versatility of our computational imaging approaches while contributing meaningful advances to multiple scientific communities.

Luca Calatroni DIBRIS, Università di Genova

Stefania Cacovich CNRS, IPVF, Paris, France
Valentina Franceschi Università di Padova, Italy
Andreas Kofler Physikalisch-Technische Bundesanstalt, Berlin, Germany
Dario Prandi CNRS, L2S, Gif-sur-Yvette, France