Dr Fani Deligianni


Fani Deligianni
PhD, MSc, MSc, MEng

  • Hamlyn Symposium on Medical Robotics 2019 proceedings are available here.

  • Our paper on ’3D Canonical Pose Estimation and Abnormal Gait Recognition’ has been accepted for publication at IEEE Robotics and Automation Letters (RA-L)/IROS.

Short Bio

Dr Fani Deligianni’s holds a PhD in Medical Image Computing at ICL (2002-2006), an MSc in Advanced Computing (awarded project distinction) at ICL (2001-2002), an MSc in Neuroscience at UCL (awarded project distinction) (2008-2010) and a MEng (equivalent) in Electrical and Computer Engineering at Aristotle University (1995-2000), Greece.

Her interests lie within medical image computing, machine learning, statistics, wearable sensors, neuroimage analysis and neuroscience.

Her PhD work was on augmenting 3D reconstructed models of the bronchial tree with 2D video images acquired during bronchoscopy. Bronchial deformation was modeled based on Active Shape Models (ASM) and a predictive tracking algorithm was incorporated to improve tracking of the endoscopic camera.

In 2008, she was awarded an MRC Special Research Training Fellowship in Biomedical Informatics to explore links between structural connectivity as it is measured with Diffusion Weighted Imaging (DWI) and functional brain connectivity captured with resting-state (rs)-fMRI. She was based at the Biomedical Image Analysis group in Computing Department of Imperial College London. Her research work suggests a prediction framework to study the link between structural brain connectivity and functional brain connectivity. She developed sophisticate computational approaches in machine learning, statistics and network analysis for the investigation of human brain structure and function. In 2012 she moved to UCL and continued her work on the link between functional and structural brain connectomes. She applied her approach in functional data derived from simultaneous resting-state EEG-fMRI and microstructural indices obtained from neurite orientation dispersion and density imaging of the human brain.

Fani is also a former member of the Centre for Brain and Cognitive Development (CBCD) at Birkbeck. She worked at CBCD from 2006 to 2008 and she developed a toolbox for contingent eyetracking, Talk2Tobii, to investigate the development of social skills in toddlers. The toolbox is used in several labs and is now integrated in T2T Package and SMART-T.

She is an active reviewer of Journals such as IEEE Trans Med Imaging, NeuroImage, Science Robotics, Human Brain Mapping, Frontiers, PLoS ONE, IEEE Journal of Biomedical Informatics, IEEE signal processing letters, Neurobiology of Aging, Magnetic Resonance in Medicine, Information Fusion and international conferences such as MICCAI and IEEE ISBI. Fani is a fellow of the Higher Education Academy and a UCL alumni careers mentor.

Contact Details

Email: fadelgr at gmail dot com
Twitter: @fd301
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