Scholar
Fani Deligianni
Google Scholar ID: Uw6VosgAAAAJ
PhD, MSc, MSc, MEng
Citations & Impact
Citations
3,809
H-index
23
i10-index
32
Publications
20
Co-authors
18
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Published papers:
- - Controllable Chest X-Ray Report Generation from Longitudinal Representations accepted at EMNLP 2023
- - Multi-Scale Cross Contrastive Learning for Semi-Supervised Medical Image Segmentation accepted at BMVC 2023
- - Beyond supervised learning for pervasive healthcare accepted at IEEE Reviews in Biomedical Engineering 2023
- - Toward Personalized Music-Therapy: A Neurocomputational Modeling Perspective accepted at IEEE Pervasive Computing 2023
- Received over £700k in research funding from MRC, EPSRC, and the Royal Society.
Research Experience
- Former member of the Centre for Brain and Cognitive Development (CBCD) at Birkbeck, developed the Talk2Tobii toolbox. Currently holds funding from Royal Society and EPSRC to develop machine learning methods for Privacy-Preserved Human Motion Analysis for Healthcare Applications.
Education
- PhD in Medical Image Computing (Imperial College London)
- MSc in Advanced Computing (Imperial College London)
- MSc in Neuroscience (University College London)
- MEng (equivalent) in Electrical and Computer Engineering (Aristotle University, Greece)
Background
- Research Interests: Healthcare Informatics with emphasis on Medical Image Computing, Statistical Machine Learning, Human Motion Analysis with wearable sensors, Neuroimage analysis and Brain Connectivity, Human Machine Interaction.
Miscellany
- Contact Details:
- - Email: fadelgr at gmail dot com
- - Twitter: @fd301
- - ORCID, LinkedIn, WebOfScience, Github
