Projects

Fundación ASISA Research Award 2026 - Development of a clinical decision support system for the early detection of idiopathic normal pressure hydrocephalus (iNPH) using video analytics and artificial intelligence.

IEMSB brings together advanced imaging, artificial intelligence, chemistry and quantitative biophysics to connect molecular mechanisms with cellular and tissue function.

CALM4GRAINS develops cross-domain adaptation and learning methods for microscopy as Subproject 2 of the coordinated GRAINS project on green and responsible AI for sustainable bioimaging.

AIM-Net is a national Spanish research network that connects microscopy, quantitative biology, and AI groups to integrate bioimaging data across molecular, cellular, and tissue scales.

TOSBI develops scalable and generalizable deep learning methods for biomedical image analysis, with a focus on limited annotation, computational efficiency and robust transferability.