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Frangi Lab

Summary

The Frangi Lab is a computational medicine and medical imaging research group led by Alejandro F. Frangi at the University of Manchester and KU Leuven. The lab focuses on machine learning for medical image computing, computational anatomy, and in silico clinical trials.

Research Focus

  • Computational Imaging and Modeling: Developing advanced machine learning methods (such as Ret-AAE) to represent and reconstruct complex anatomical structures from medical scans (CFP, OCT, MRI).
  • In Silico Medicine: Modeling cardiovascular and neurological anatomy to simulate disease progression and evaluate therapeutic interventions.
  • Multimodal Health Representation: Collaborating on oculo-systemic pipelines that link eye imaging with cardiorespiratory and brain phenotypes in large population cohorts like the UK Biobank.

Citations

  • Julian, T. H. et al. (2026). Multi-omic analysis of deep learning-derived phenotypes links ophthalmic imaging to cardiovascular and neurological traits. Nature Cardiovascular Research, 5, 541–554. DOI: 10.1038/s44161-026-00815-5. Source paper: s44161-026-00815-5.pdf