Teams

In recent years, convolutional neural network (CNN)-based methods have shown remarkable performance in the denoising and reconstruction of super-resolved structured illumination microscopy (SR-SIM) data. Therefore, CNN-based architectures have been the main focus of existing studies. Recently, however, an alternative and highly competitive deep learning architecture, Swin Transformer, has been proposed for image restoration tasks. In this work, we present SwinT-fairSIM, a novel method for restoring ...

Exeter Genetics team

Lab for Stem Cell Biology and Metabolic Diseases

A new approach to observation and modelling of the Earth System, Environment and Biodiversity. An easy way to visualise, analyse and process environmental data on-demand.

Projects from the FAME team

FHAIVE is the Finnish Hub for Development and Validation of Integrated Approaches, a Tampere University research group led by Prof. Dario Greco. The team develops and validates data-driven and human-relevant integrated approaches for system biology and toxicological research, combining advanced in vitro models, toxicogenomics, bioinformatics, and AI-enabled data modelling.