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Director's research interests, appointments, education, and professional memberships.

research interests

Professor Frangi’s main research interests are at the interface of medical image analysis and modelling, emphasising machine learning (phenomenological models) and computational physiology (mechanistic models). He researches computational medical imaging and computational image-based medicine. He is interested in developing fundamental image analysis and modelling methods, medical image registration and reconstruction, statistical shape modelling, and machine-learning and deep-learning approaches to the previous goals.

The broad goals of his research programme are:

  1. To develop intelligent systems to deal with the analysis of large-scale, complex, and multi-modal data where imaging plays a central role.
  2. To develop new approaches to integrate mechanistic and phenomenological imaging-linked models.

Professor Frangi is also interested in new approaches to incorporate models and priors into data-driven approaches to retain the benefits from their ability to deal with complex data while controlling their expressivity and making them practical in problems constrained by data availability. He is particularly interested in statistical methods applied to population imaging and in silico clinical trials. His highly interdisciplinary work has been translated into cardiology, osteoporosis, and neurology.

appointments

  • Bicentennial Turing Chair in Computational Medicine, University of Manchester, Manchester, UK (joint appointments at the Schools of Engineering and Health Sciences)
  • Royal Academy of Engineering Chair in Emerging Technologies (Precision Computational Medicine for in silico trials of medical devices)
  • Director, Digital Infrastructure Team at the NIHR Manchester Biomedical Research Centre
  • Honorary Chair, Katholieke Universiteit Leuven (2019–present)
  • Turing Fellow, Alan Turing Institute (2019–2024)

education

  • PhD, Imaging Sciences — Three-dimensional model-based analysis of vascular and cardiac images. Utrecht University, Utrecht, The Netherlands (1997–2001).
  • BSc / MSc, Telecommunications Engineering — Quantification and Noise Modelling in Electrical Impedance Tomography. Universitat Politècnica de Catalunya, Barcelona, Spain (1991–1996).

professional memberships

  • FREng — Fellow, Royal Academy of Engineering (2023)
  • MICCAI Fellow — Medical Image Computing and Computer-Assisted Interventions Society (2021)
  • AAIA-AI Fellow — Association for the Advancement of Artificial Intelligence (2021)
  • Turing Fellow — Alan Turing Institute (2021)
  • SPIE Fellow — International Society for Optics and Photonics (2020)
  • IEEE Fellow — Institute of Electrical and Electronics Engineers (2014)
  • EAMBES Fellow — European Alliance for Medical and Biological Engineering & Science (2013)