Dr Fani Deligianni

Senior Lecturer (Computing Science)

email: Fani.Deligianni@glasgow.ac.uk
pronouns: She/her/hers

321b Sir Alwyn Williams Building, School of Computing Science, Glasgow University, G12 8RZ

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.

Her track record includes more than 70 peer-reviewed papers/abstracts/book chapters (25 journals, 4 book chapters) and it has been impactful in the machine learning for healthcare applications, along with medical imaging analysis community as it is reflected by her google scholar h-index 25 and more than 4000 citations. She has received substantial funding from MRC, EPSRC, Royal Society and Academy of Medical Sciences to develop machine learning algorithms to analyse medical images, human motion and neurophysiological data to improve risk prediction and diagnosis of diseases. Furthermore, she investigates machine learning approaches for privacy preservation and digital twins in healthcare.

Research interests

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

I lead the Biomedical AI and Imaging Lab which specialises on machine learning approaches to analyse medical images, neuro-physiological signals and human motion. I am also a member of the Computing Technologies for Healthcare theme at the School of Computing Science and the healthcare theme lead and supervisor for EPSRC Centre for Doctoral Training in Diversity led, mission-driven research.
I am also coordinating the GWiCS - Glasgow Women in Computing group.

My interests include:

Medical image computing
Statistical machine learning,
Human Motion Analysis
Neuroimage analysis and Brain Connectivity
Deep Learning in Healthcare Applications
Clinical Decision Support Systems

For more information visit:

News/Events:

We are thrilled to announce that our workshop proposal on 'Privacy, Fairness, Accountability and Transparency in Computer Vision' has been officially accepted for presentation at the British Machine Vision Conference (BMVC).

PhD/EngD Students:

Tahani Aladwani (co-supervise with Christos Anagnostopoulos)
Fransesco Dala Serra (co-supervise with Alison ONeil/Canon Medical and Jeff Dalton, PI)
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, PI)
Nicole Lai (co-supervise with Marios Philiastides, PI)
Dominik Szczepaniak (co-supervise with Monika Harvey, PI)
Qianying Liu (co-supervise with Christos Anagnostopoulos, PI)
Kaushik Bhargav Sivangi (co-supervise with Paul Henderson, PI)
Yiling Hu (co-supervise with David Porter)
Harry Clark (co-supervise with Gregor Thut and Marios Philiastides, PI)
Zain Hussain (co-supervise with Jonathan Cavanagh and Craig Ritchie)

RAs/Honorary RAs/Fellows:

Alumni:

Hester Huijsdens
Yola Jones
Samuel Leighton

Funding and Collaborations:

UKRI – Training Grant, Industrial Case Account/Scholarship/Siemens (co-I), 2024-2029
Academy of Medical Sciences, Network Grant (co-I), 2024-2025
NHS Lanarkshire on 'A Technology-driven Preventive Approach to Frailty and Falls', supported by a fellowship.
NHS Golden Jubilee on 'Machine Learning Models for Risk Prediction in Congenital Heart Disease'.
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.
Waire Health - Medical graded wearable sensing devices.
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:

Privacy-Preserved Human Motion Analysis based on Radar Data, Linda Tran, MSci 2024.
Privacy Preservation in Human Motion Analysis, Boondirek Kanjanapongporn, 2024.
Human Motion Analysis - Exploration of Traditional Machine Learning and Deep Learning Based Anomaly Detection Algorithms, Titas Jonaitis, 2024.
Deep Learning Models for Classification of Real and Synthetic Human Motion, Kiril Mitkov Bikov, 2023.
Imputation Strategies for Risk Prediction Models Based on Electronic Health Records, Lee Lok Hang Toby, 2021-2022.
Development of Machine Learning Models to Detect Arrhythmia based on ECG data - Explainable Models, Hector J. Jones, 2021-2022.
Improving Explainability Using Expected Gradients for ECG Beat Classification, Anuraj Taya, 2021-2022.
Adversarial Attention for Human Motion Synthesis, Matthew Malek-Podjaski, MSci, 2021-2022.
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

PhD/Post-doc Vacancies:

I am looking for highly motivated and competitive PhD/postdoctoral candidates to work in developing trustworthy AI systems in healthcare and human motion analysis. If you are interested drop me an email with your CV at fani.deligianni@glasgow.ac.uk).

Publications

List by: Type | Date

Jump to: 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2014 | 2013 | 2012 | 2011 | 2010 | 2008 | 2006 | 2005 | 2004 | 2003 | 2002

Number of items: 69.

2024

Liu, Q., Henderson, P. , Gu, X., Dai, H. and Deligianni, F. (2024) Learning Semi-Supervised Medical Image Segmentation from Spatial Registration. In: IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2025), Tucson, AZ, USA, 28 February - 4 March 2025, (Accepted for Publication)

Zakariyya, I., Tran, L., Sivangi, K. B., Henderson, P. and Deligianni, F. (2024) Differentially Private Integrated Decision Gradients (IDG-DP) for Radar-based Human Activity Recognition. In: IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2025), Tucson, AZ, USA, 28 February - 4 March 2025, (Accepted for Publication)

Aladwani, T., Anagnostopoulos, C. , Puthiya Parambath, S. and Deligianni, F. (2024) CL-FML: Cluster-based & Label-aware Federated Meta-Learning for On-Demand Classification Tasks. In: 11th IEEE International Conference on Data Science and Advanced Analytics (DSAA 2024), San Diego, CA, United States, 6-10 October 2024, (doi: 10.1109/DSAA61799.2024.10722828)

Szczepaniak, D., Harvey, M. and Deligianni, F. (2024) ML-Driven Cognitive Workload Estimation in a VR-based Sustained Attention Task. In: 23rd IEEE International Symposium on Mixed and Augmented Reality (ISMAR), Seattle, WA, USA, 21-25 Oct 2024, (Accepted for Publication)

Sivangi, K. B. and Deligianni, F. (2024) Knowledge Distillation with Global Filters for Efficient Human Pose Estimation. In: The 35th British Machine Vision Conference (BMVC), Glasgow, UK, 25-28 November 2024, (Accepted for Publication)

Jacobs, E.M., Deligianni, F. and Pollick, F. (2024) Threat perception captured by emotion, motor and empathetic system responses: a systematic review. IEEE Transactions on Affective Computing, 15(3), pp. 1116-1135. (doi: 10.1109/TAFFC.2023.3323043)

Lai-Tan, N., Philiastides, M. and Deligianni, F. (2024) Fusion of Spatial and Riemannian Features to Enhance Detection of Gait Adaptation Mental States During Rhythmic Auditory Stimulation. In: 12th International Conference on Affective Computing and Intelligent Interaction (ACII 2024), Glasgow, Scotland, UK, 15-18 September 2024, (Accepted for Publication)

Aladwani, T., Parambath, S. , Anagnostopoulos, C. and Deligianni, F. (2024) The Price of Labelling: A Two-Phase Federated Self-Learning Approach. In: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2024), Vilnius, Lithuania, 9-13 September 2024, (Accepted for Publication)

Alkan, M., Veldtman, G. and Deligianni, F. (2024) Riemannian Prediction of Anatomical Diagnoses in Congenital Heart Disease based on 12-lead ECGs. In: IEEE International Symposium on Biomedical Imaging 2024, Athens, Greece, 27-30 May 2024, (Accepted for Publication)

Tragakis, A., Liu, Q., Kaul, C., Kumar Roy, S., Dai, H., Deligianni, F. , Murray-Smith, R. and Faccio, D. (2024) GLFNet: Global-Local (Frequency) Filter Networks for efficient Medical Image Segmentation. In: 21st IEEE International Symposium on Biomedical Imaging, Athens, Greece, 27-30 May 2024, (Accepted for Publication)

Malek-Podjaski, M. and Deligianni, F. (2024) Adversarial Attention for Human Motion Synthesis. In: 2023 IEEE Symposium Series on Computational Intelligence (SSCI 2023), Mexico City, Mexico, 5-8 Dec 2023, pp. 69-74. (doi: 10.1109/SSCI52147.2023.10371870) (Early Online Publication)

Mair, F. S. et al. (2024) Developing SysteMatic: prevention, precision and equity by design for people living with multiple long-term conditions. Journal of Multimorbidity and Comorbidity, 14, pp. 1-9. (doi: 10.1177/26335565241272682)

2023

Dalla Serra, F., Wang, C., Deligianni, F. , Dalton, J. and O'Neil, A. Q. (2023) Controllable Chest X-Ray Report Generation from Longitudinal Representations. In: The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), Singapore, 06-10 Dec 2023, pp. 4891-4904. (doi: 10.18653/v1/2023.findings-emnlp.325)

Dalla Serra, F., Wang, C., Deligianni, F. , Dalton, J. and O’Neil, A. (2023) Finding-Aware Anatomical Tokens for Chest X-Ray Automated Reporting. In: MLMI 2023, Vancouver, Canada, 8 October 2023, pp. 413-423. ISBN 9783031456725 (doi: 10.1007/978-3-031-45673-2_41)

Gu, X., Deligianni, F. , Han, J., Liu, X., Chen, W., Yang, G.-Z. and Lo, B. (2023) Beyond supervised learning for pervasive healthcare. IEEE Reviews in Biomedical Engineering, (doi: 10.1109/RBME.2023.3296938) (Early Online Publication)

Lai-Tan, N., Philiastides, M. G. , Kawsar, F. and Deligianni, F. (2023) Toward personalized music-therapy: a neurocomputational modeling perspective. IEEE Pervasive Computing, (doi: 10.1109/MPRV.2023.3285087) (Early Online Publication)

Aladwani, T., Anagnostopoulos, C. , Kolomvatsos, K., Alghamdi, I. and Deligianni, F. (2023) Query-driven Edge Node Selection in Distributed Learning Environments. In: Data-driven Smart Cities (DASC 2023)/ 39th IEEE International Conference on Data Engineering (ICDE 2023), Anaheim, CA, United States, 3-7 April 2023, pp. 146-153. ISBN 9798350322446 (doi: 10.1109/ICDEW58674.2023.00029)

Liu, Q., Kaul, C., Wang, J., Anagnostopoulos, C. , Murray-Smith, R. and Deligianni, F. (2023) Optimizing Vision Transformers for Medical Image Segmentation. In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023), Rhodes, Greece, 4-10 June 2023, ISBN 9781728163277 (doi: 10.1109/ICASSP49357.2023.10096379)

Liu, Q., Gu, X., Henderson, P. and Deligianni, F. (2023) Multi-Scale Cross Contrastive Learning for Semi-Supervised Medical Image Segmentation. In: 34th British Machine Vision Conference (BMVC 2023), Aberdeen, UK, 20-24 Nov 2023,

2022

Dalla Serra, F., Clackett, W., Wang, C., MacKinnon, H., Deligianni, F. , Dalton, J. and O’Neil, A. Q. (2022) Multimodal Generation of Radiology Reports using Knowledge-Grounded Extraction of Entities and Relations. In: 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (AACL-IJCNLP 2022), Online, 20-23 November 2022, pp. 615-624. ISBN 9781955917650

Verma, S. et al. (2022) Development of a semi-automated database for adult congenital heart disease patients. Canadian Journal of Cardiology, 38(10), pp. 1634-1640. (doi: 10.1016/j.cjca.2022.05.022) (PMID:35661703)

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, 93(8), pp. 822-827. (doi: 10.1136/jnnp-2022-328903) (PMID:35606105) (PMCID:PMC9304115)

Dalla Serra, F., Jacenkow, G., Deligianni, F. , Dalton, J. and O’Neil, A. Q. (2022) Improving Image Representations via MoCo Pre-Training for Multimodal CXR Classification. In: 26th UK Conference on Medical Image Understanding and Analysis (MIUA 2022), University of Cambridge, 27-29 July 2022, pp. 623-635. ISBN 9783031120527 (doi: 10.1007/978-3-031-12053-4_46)

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)

Dalla Serra, F., Deligianni, F. , Dalton, J. and O'Neil, A. Q. (2022) CMRE-UoG team at ImageCLEFmedical Caption 2022: Concept Detection and Image Captioning. In: CLEF 2022: Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5–8, 2022, pp. 1381-1390.

2021

Malek-Podjaski, M. and Deligianni, F. (2021) 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)

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 Thu Dec 26 09:59:20 2024 GMT.

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