Dr Fani Deligianni

Lecturer (Computing Science)

email: Fani.Deligianni@glasgow.ac.uk

ORCID iD https://orcid.org/0000-0003-1306-5017

Biography

Dr Fani Deligianni’s holds a PhD in Medical Image Computing (Imperial College London), an MSc in Advanced Computing (Imperial College London), an MSc in Neuroscience (University College London) and a MEng (equivalent) in Electrical and Computer Engineering (Aristotle University, Greece).

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

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. 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. In particular, she uses graph theory, machine learning and statistics to describe and characterise complex interconnections between multi-modal brain networks.

Recently, her work has been focused on workload assessment based on neurophysiological signals. She has also done work on human motion analysis with wearable sensors and single rgb(d) camera.

Research interests

She is part of the Information, Data & Analysis Section (IDA) section.

Fani Deligianni is the lead of the Computing Technologies for Healthcare theme at the School of Computing Science. Her interests include:

Medical image computing
Statistical machine learning,
Human Motion Analysis with wearable sensors
Neuroimage analysis and neuroscience
Brain Connectivity
Human Machine Interaction
Healthcare Informatics

For more information visit:

PhD/EngD Students:

Yola Jones (co-supervise with Pierpaolo Pelicori, John Cleland and Jeff Dalton)
Tahani Aladwani (co-supervise with Christos Anagnostopoulos)
Fransesco Dala Serra (co-supervise with Alison ONeil/Canon Medical and Jeff Dalton)
Long Qianyu (co-supervise with Christos Anagnostopoulos)
Fatima Ghanduri (co-supervise with Christos Anagnostopoulos)
Narinder Kaur (co-supervise with Pierpaolo Pelicori, John Cleland)
Muhammet Alkan (co-supervise with Ke Yuan)
Elizabeth Jacobs (co-supervise with Frank Pollick)
Nicole Lai (co-supervise with Marios Philiastides)
Dominik Szczepaniak (co-supervise with Monika Harvey)
Samuel Leighton (co-supervise with Jonathan Cavanagh, Rajeev Krishnadas)
Qianying Liu (co-supervise with Christos Anagnostopoulos)

Funding and Collaborations:

EPSRC New Investigator Award on 'Privacy-Preserved Human Motion Analysis for Healthcare Applications', 2022-2025, PI. F. Deligianni
Royal Society Semiflex grant on Human Motion and Privacy for Radar/Quantum Technology, 2022-2023, PI. F. Deligianni
UKRI CDT on Socially Intelligent Artificial Agents with three PhD Scholarships
Coursera course on Deep Learning for Clinical Decision Systems based on EHR, 2020-2021, PI. F. Deligianni
2021 Summer Scholarship, School of Computing Science, University of Glasgow (Matthew Malek-Podjaski)
Human Data Interaction EPSRC Network - Human Motion Analysis – Agency, Negotiation and Legibility in Data Handling (EPSRC EPR0451781), PI Dr. Fani Deligianni, 2020-2021.
CogniHealth is a healthcare technology company, which support people with dementia and their families.
CanonMedical with funding for an EngD student via the CDT on Photonics.

Distinguished Students' Projects:

Machine Learning Applications for the Detection and Disentanglement of Emotional States in Human Motion, 2020-2021, Matthew Malek-Podjaski. (This project is linked to Explainable, Privacy-Preserved Human Motion Analysis)
Development of Machine Learning Models to Detect Arrhythmia Based on ECG Data-Interpretability, 2020-2021, Shourya Verma.

Teaching:

Informed Clinical Decision Making using Deep Learning: Students can enroll to the coursera MOOC here.

Data Mining of Clinical Databases
Deep Learning in Electronic Health Records
Explainable Deep Learning Models for Healthcare
Clinical Decision Support Systems

Other Activities:

Special Issue on 'Wearable and Ambient Sensing: Technological Advances in Human Motion Analysis'

Vacancies (Closing date - 24th of April):

We are looking for postdoctoral researchers (Grade 6/7) to make a leading contribution to an EPSRC project on ‘Privacy-Preserved Human Motion Analysis for Healthcare Applications’ working with Dr. Fani Deligianni. The aim is to develop machine learning models that preserve privacy of the patients as well as their social cycle while they enhance their ability to identify and quantify abnormalities. The candidate should have experience in developing advanced deep learning generative models. It is also desirable to have previous experience with privacy and leakage of deep learning models. The project is also linked to collaborative projects with the School of Psychology and Neuroscience as well as the QUEST project. Along with other colleagues we aim to develop transformative healthcare technologies to enable patients’ independence, improve healthcare quality and ensure privacy. The successful candidate will also be expected to work with PhD students, collaborators, clinical researches and NHS as appropriate. Furthermore, he/she should contribute to the formulation and submission of research publications and research proposals as well as help manage this complex and challenging project as opportunities allow.

For more details email me (Dr. Fani Deligianni, fani.deligianni@glasgow.ac.uk).

Submit your application via the UoG portal. Closing date: 24th of April.

Publications

List by: Type | Date

Jump to: 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2014 | 2013 | 2012 | 2011 | 2010 | 2008 | 2006 | 2005 | 2004 | 2003 | 2002

Number of items: 46.

2022

Leighton, S. P. , Herron, J. W. , Jackson, E., Sheridan, M., Deligianni, F. and Cavanagh, J. (2022) Delirium and the risk of developing dementia: a cohort study of 12,949 patients. Journal of Neurology, Neurosurgery and Psychiatry, (Accepted for Publication)

Lee, R., Leighton, S. P. , Thomas, L., Gkoutos, G. V., Wood, S. J., Fenton, S.-J. H., Deligianni, F. , Cavanagh, J. and Mallikarjun, P. K. (2022) Prediction models in first-episode psychosis: systematic review and critical appraisal. British Journal of Psychiatry, 220(SI4), pp. 179-191. (doi: 10.1192/bjp.2021.219) (PMID:35067242)

Guo, Y., Freer, D., Deligianni, F. and Yang, G.-Z. (2022) Eye-tracking for performance evaluation and workload estimation in space telerobotic training. IEEE Transactions on Human-Machine Systems, 52(1), pp. 1-11. (doi: 10.1109/THMS.2021.3107519)

Domingos, I., Yang, G.-Z. and Deligianni, F. (2022) Intention Detection of Gait Adaptation in Natural Settings. In: 2021 IEEE Symposium Series on Computational Intelligence (SSCI), Orlando, FL, USA, 04-07 Dec 2021, ISBN 9781728190488 (doi: 10.1109/SSCI50451.2021.9660193)

Malek-Podjaski, M. and Deligianni, F. (2022) Towards Explainable, Privacy-Preserved Human-Motion Affect Recognition. In: 2021 IEEE Symposium Series on Computational Intelligence (SSCI), Orlando, FL, USA, 04-07 Dec 2021, ISBN 9781728190488 (doi: 10.1109/SSCI50451.2021.9660129)

2021

Deligianni, F. , Freer, D., Guo, Y. and Yang, G.-Z. (2021) BCI for mental workload detection and performance evaluation in space applications. In: Space Robotics and Autonomous Systems. IET. (Accepted for Publication)

Khan, S. U.E., Rosa, B. G., Kassanos, P., Miller, C. F., Deligianni, F. and Yang, G.-Z. (2021) Physiological adaptations in space and wearable technology for biosignal monitoring. In: Space Robotics and Autonomous Systems. IET. (Accepted for Publication)

Gu, X., Guo, Y., Deligianni, F. , Lo, B. and Yang, G.-Z. (2021) Cross-subject and cross-modal transfer for generalized abnormal gait pattern recognition. IEEE Transactions on Neural Networks and Learning Systems, 32(2), pp. 546-560. (doi: 10.1109/TNNLS.2020.3009448)

2020

Gu, X., Guo, Y., Deligianni, F. and Yang, G.-Z. (2020) Coupled real-synthetic domain adaptation for real-world deep depth enhancement. IEEE Transactions on Image Processing, 29, pp. 6343-6356. (doi: 10.1109/TIP.2020.2988574)

Jones, Y., Deligianni, F. and Dalton, J. (2020) Improving ECG Classification Interpretability Using Saliency Maps. In: 20th IEEE International Conference on BioInformatics and BioEngineering, 26-28 Oct 2020, pp. 675-682. ISBN 9781728195742 (doi: 10.1109/BIBE50027.2020.00114)

2019

Deligianni, F. , Clayden, J. and Yang, G.-Z. (2019) Comparison of Brain Networks Based on Predictive Models of Connectivity. In: 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering (BIBE), Athens, Greece, 28-30 Oct 2019, pp. 115-121. ISBN 9781728146171 (doi: 10.1109/BIBE.2019.00029)

Deligianni, F. , Guo, Y. and Yang, G.-Z. (2019) From emotions to mood disorders: a survey on gait analysis methodology. IEEE Journal of Biomedical and Health Informatics, 23(6), pp. 2302-2316. (doi: 10.1109/JBHI.2019.2938111) (PMID:31502995)

Guo, Y., Deligianni, F. , Gu, X. and Yang, G.-Z. (2019) 3-D canonical pose estimation and abnormal gait recognition with a single RGB-D camera. IEEE Robotics and Automation Letters, 4(4), pp. 3617-3624. (doi: 10.1109/LRA.2019.2928775)

Freer, D., Deligianni, F. and Yang, G.-Z. (2019) Adaptive Riemannian BCI for Enhanced Motor Imagery Training Protocols. In: 2019 IEEE 16th International Conference on Wearable and Implantable Body Sensor Networks (BSN), Chicago, IL, USA, 19-22 May 2019, ISBN 9781538674772 (doi: 10.1109/BSN.2019.8771079)

2018

Varghese, R.J., Freer, D., Deligianni, F. , Liu, J. and Yang, G.-Z. (2018) Wearable robotics for upper-limb rehabilitation and assistance: a review on the state-of-the-art, challenges and future research. In: Tong, R. (ed.) Wearable Technology in Medicine and Health Care. Elsevier (Academic Press), pp. 23-69. ISBN 9780128118108 (doi: 10.1016/B978-0-12-811810-8.00003-8)

Deligianni, F. , Wong, C., Lo, B. and Yang, G.-Z. (2018) A fusion framework to estimate plantar ground force distributions and ankle dynamics. Information Fusion, 41, pp. 255-263. (doi: 10.1016/j.inffus.2017.09.008)

Gu, X., Deligianni, F. , Lo, B., Chen, W. and Yang, G.Z. (2018) Markerless Gait Analysis Based on a Single RGB Camera. In: 2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks (BSN), Las Vegas, NV, USA, 04-07 Mar 2018, pp. 42-45. ISBN 9781538611098 (doi: 10.1109/BSN.2018.8329654)

2017

Ravi, D., Wong, C., Deligianni, F. , Berthelot, M., Andreu-Perez, J., Lo, B. and Yang, G.-Z. (2017) Deep learning for health informatics. IEEE Journal of Biomedical and Health Informatics, 21(1), pp. 4-21. (doi: 10.1109/JBHI.2016.2636665) (PMID:28055930)

2016

Deligianni, F. , Carmichael, D. W., Zhang, G. H., Clark, C. A. and Clayden, J. D. (2016) NODDI and tensor-based microstructural indices as predictors of functional connectivity. PLoS ONE, 11(4), e0153404. (doi: 10.1371/journal.pone.0153404) (PMID:27078862) (PMCID:PMC4831788)

2014

Parker, C. S., Deligianni, F. , Cardoso, M. J., Daga, P., Modat, M., Dayan, M., Clark, C. A., Ourselin, S. and Clayden, J. D. (2014) Consensus between pipelines in structural brain networks. PLoS ONE, 9(10), e111262. (doi: 10.1371/journal.pone.0111262) (PMID:25356977) (PMCID:PMC4214749)

Deligianni, F. , Centeno, M., Carmichael, D. W. and Clayden, J. D. (2014) Relating resting-state fMRI and EEG whole-brain connectomes across frequency bands. Frontiers in Neuroscience, 8, 258. (doi: 10.3389/fnins.2014.00258) (PMID:25221467) (PMCID:PMC4148011)

2013

Deligianni, F. , Varoquaux, G., Thirion, B., Sharp, D. J., Ledig, C., Leech, R. and Rueckert, D. (2013) A framework for inter-subject prediction of functional connectivity from structural networks. IEEE Transactions on Medical Imaging, 32(12), pp. 2200-2214. (doi: 10.1109/TMI.2013.2276916)

Deligianni, F. , Clark, C. A. and Clayden, J. D. (2013) A Framework to Compare Tractography Algorithms Based On Their Performance in Predicting Functional Networks. In: 3rd International Multimodal Brain Image Analysis Workshop (MBIA 2013), Nagoya, Japan, 22nd September 2013, pp. 211-221. ISBN 9783319021256 (doi: 10.1007/978-3-319-02126-3_21)

2012

Deligianni, F. , Varoquaux, G., Thirion, B., Robinson, E., Sharp, D. J., Edwards, A. D. and Rueckert, D. (2012) Relating Brain Functional Connectivity to Anatomical Connections: Model Selection. In: International Machine Learning and Interpretation in Neuroimaging Workshop (MLINI 2011), Sierra Nevada, Spain, 16-17 December 2011, pp. 178-185. ISBN 9783642347122 (doi: 10.1007/978-3-642-34713-9_23)

2011

Deligianni, F. , Senju, A., Gergely, G. and Csibra, G. (2011) Automated gaze-contingent objects elicit orientation following in 8-month-old infants. Developmental Psychology, 47(6), pp. 1499-1503. (doi: 10.1037/a0025659) (PMID:21942669) (PMCID:PMC4636044)

Deligianni, F. , Robinson, E., Beckmann, C. F., Sharp, D., Edwards, A. D. and Rueckert, D. (2011) Inference of Functional Connectivity From Direct and Indirect Structural Brain Connections. In: 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Chicago, IL, USA, 30 Mar - 02 Apr 2011, pp. 849-852. ISBN 9781424441273 (doi: 10.1109/ISBI.2011.5872537)

Deligianni, F. , Robinson, E., Sharp, D., Edwards, A. D., Rueckert, D. and Alexander, D. C. (2011) Exploiting Hierarchy in Structural Brain Networks. In: 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Chicago, IL, USA, 30 Mar - 02 Apr 2011, pp. 871-874. ISBN 9781424441273 (doi: 10.1109/ISBI.2011.5872542)

Deligianni, F. , Varoquaux, G., Thirion, B., Robinson, E., Sharp, D. J., Edwards, A. D. and Rueckert, D. (2011) A Probabilistic Framework to Infer Brain Functional Connectivity from Anatomical Connections. In: 22nd International Information Processing in Medical Imaging Conference (IPMI 2011), Kloster Irsee, Germany, 3-8 July 2011, pp. 296-307. ISBN 9783642220913 (doi: 10.1007/978-3-642-22092-0_25)

2010

Deligianni, F. , Robinson, E. C., Beckmann, C. F., Sharp, D., Edwards, A. D. and Rueckert, D. (2010) Inference of Functional Connectivity From Structural Brain Connectivity. In: 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Rotterdam, The Netherlands, 14-17 Apr 2010, pp. 1113-1116. ISBN 9781424441259 (doi: 10.1109/ISBI.2010.5490188)

2008

Grossmann, T., Johnson, M. H., Lloyd-Fox, S., Blasi, A., Deligianni, F. , Elwell, C. and Csibra, G. (2008) Early cortical specialization for face-to-face communication in human infants. Proceedings of the Royal Society of London Series B: Biological Sciences, 275(1653), pp. 2803-2811. (doi: 10.1098/rspb.2008.0986) (PMID:18755668) (PMCID:PMC2572680)

2006

Deligianni, F. , Chung, A.J. and Yang, G.-Z. (2006) Nonrigid 2-D/3-D registration for patient specific bronchoscopy simulation with statistical shape modeling: phantom validation. IEEE Transactions on Medical Imaging, 25(11), pp. 1462-1471. (doi: 10.1109/TMI.2006.883452) (PMID:17117775)

Chung, A.J., Deligianni, F. , Shah, P., Wells, A. and Yang, G.-Z. (2006) Patient-specific bronchoscopy visualization through BRDF estimation and disocclusion correction. IEEE Transactions on Medical Imaging, 25(4), pp. 503-513. (doi: 10.1109/TMI.2006.871550) (PMID:16608065)

Deligianni, F. , Chung, A. J. and Yang, G.-Z. (2006) Non-rigid 2D-3D Registration with Catheter Tip EM Tracking for Patient Specific Bronchoscope Simulation. In: 9th International Medical Image Computing and Computer-Assisted Intervention Conference (MICCAI 2006), Copenhagen, Denmark, 1-6 Oct 2006, pp. 281-288. ISBN 9783540447078 (doi: 10.1007/11866565_35)

Leff, D., Koh, P. H., Aggarwal, R., Leong, J., Deligianni, F. , Elwell, C., Delpy, D. T., Darzi, A. and Yang, G.-Z. (2006) Optical Mapping of the Frontal Cortex During a Surgical Knot-tying Task, a Feasibility Study. In: 3rd International Medical Imaging and Augmented Reality Workshop (MIAR 2006), Shanghai, China, 17-18 Aug 2006, pp. 140-147. ISBN 9783540372202 (doi: 10.1007/11812715_18)

Lo, B., Deligianni, F. and Yang, G.-Z. (2006) Source Recovery for Body Sensor Network. In: International Workshop on Wearable and Implantable Body Sensor Networks (BSN'06), Cambridge, MA, USA, 03-05 Apr 2006, ISBN 9780769525471 (doi: 10.1109/BSN.2006.51)

2005

Chung, A. J., Deligianni, F. , Hu, X.-P. and Yang, G.-Z. (2005) Extraction of visual features with eye tracking for saliency driven 2D/3D registration. Image and Vision Computing, 23(11), pp. 999-1008. (doi: 10.1016/j.imavis.2005.07.003)

Deligianni, F. , Chung, A. and Zhong, G. (2005) Predictive Camera Tracking for Bronchoscope Simulation with CONDensation. In: 8th International Medical Image Computing and Computer-Assisted Intervention Conference (MICCAI 2005), Palm Springs, CA, USA, 26-29 Oct 2005, pp. 910-916. ISBN 9783540293279 (doi: 10.1007/11566465_112)

Mylonas, G. P., Stoyanov, D., Deligianni, F. , Darzi, A. and Yang, G.-Z. (2005) Gaze-contingent Soft Tissue Deformation Tracking for Minimally Invasive Robotic Surgery. In: 8th International Medical Image Computing and Computer-Assisted Intervention Conference (MICCAI 2005), Palm Springs, CA, USA, 26-29 Oct 2005, pp. 843-850. ISBN 9783540293279 (doi: 10.1007/11566465_104)

Stoyanov, D., Mylonas, G. P., Deligianni, F. , Darzi, A. and Yang, G. Z. (2005) Soft-tissue Motion Tracking and Structure Estimation for Robotic Assisted MIS Procedures. In: 8th International Medical Image Computing and Computer-Assisted Intervention Conference (MICCAI 2005), Palm Springs, CA, USA, 26-29 Oct 2005, pp. 139-146. ISBN 9783540293262 (doi: 10.1007/11566489_18)

2004

Chung, A. J., Deligianni, F. , Hu, X.-P. and Yang, G.-Z. (2004) Visual Feature Extraction Via Eye Tracking for Saliency Driven 2D/3D Registration. In: 2004 Symposium on Eye Tracking Research & Applications (ETRA '04), San Antonio, TX, USA, 22-24 Mar 2004, pp. 49-54. ISBN 9781581138252 (doi: 10.1145/968363.968371)

Chung, A. J., Deligianni, F. , Shah, P., Wells, A. and Yang, G.-Z. (2004) Enhancement of Visual Realism with BRDF for Patient Specific Bronchoscopy Simulation. In: 7th International Medical Image Computing and Computer-Assisted Intervention Conference (MICCAI 2004), Saint-Malo, France, 26-29 Sept 2004, pp. 486-493. ISBN 9783540229773 (doi: 10.1007/978-3-540-30136-3_60)

Chung, A. J., Edwards, P. J., Deligianni, F. and Yang, G.-Z. (2004) Freehand Cocalibration of Optical and Electromagnetic Trackers for Navigated Bronchoscopy. In: 2nd International Medical Imaging and Augmented Reality Workshop (MIAR 2004), Beijing, China, 19-20 Aug 2004, pp. 320-328. ISBN 9783540228776 (doi: 10.1007/978-3-540-28626-4_39)

Deligianni, F. , Chung, A. and Yang, G.-z. (2004) Patient-specific bronchoscope simulation with pq-space-based 2D/3D registration. Computer Aided Surgery, 9(5), pp. 215-226. (doi: 10.3109/10929080500144927) (PMID:16192063)

2003

Deligianni, F. , Chung, A. and Yang, G.-Z. (2003) pq-Space Based 2D/3D Registration for Endoscope Tracking. In: 6th International Medical Image Computing and Computer-Assisted Intervention Conference (MICCAI 2003), Montréal, Canada, 15-18 Nov 2003, pp. 311-318. ISBN 9783540204626 (doi: 10.1007/978-3-540-39899-8_39)

Gao, J.X., Masood, S., Deligianni, F. and Yang, G.Z. (2003) Reconstruction of 3D Deformation From 2D MR Velocity Mapping With Incompressibility Constraints. In: 4th International IEEE EMBS Special Topic Conference on Information Technology Applications in Biomedicine, 2003, Birmingham, UK, 24-26 Apr 2003, pp. 134-137. ISBN 9780780376670 (doi: 10.1109/ITAB.2003.1222491)

2002

Grammalidis, N., Sarris, N., Deligianni, F. and Strintzis, M. G. (2002) Three-dimensional facial adaptation for MPEG-4 talking heads. Eurasip Journal on Applied Signal Processing, 2002(10), pp. 1005-1020. (doi: 10.1155/S1110865702206113)

This list was generated on Wed May 18 07:02:29 2022 BST.

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