Fani Deligianni
Imperial College London
44Publications
13H-index
720Citations
Publications 44
Newest
Published on Mar 1, 2018
Xiao Gu1
Estimated H-index: 1
(Fudan University),
Fani Deligianni13
Estimated H-index: 13
(Imperial College London)
+ 2 AuthorsGuang-Zhong Yang55
Estimated H-index: 55
(Imperial College London)
Gait analysis is an important tool for monitoring and preventing injuries as well as to quantify functional decline in neurological diseases and elderly people. In most cases, it is more meaningful to monitor patients in natural living environments with low-end equipment such as cameras and wearable sensors. However, inertial sensors cannot provide enough details on angular dynamics. This paper presents a method that uses a single RGB camera to track the 2D joint coordinates with state-of-the-ar...
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Published on Jan 1, 2018
Rejin John Varghese1
Estimated H-index: 1
,
Daniel Freer1
Estimated H-index: 1
+ 2 AuthorsGuang-Zhong Yang55
Estimated H-index: 55
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Published on Nov 19, 2018in arXiv: Neurons and Cognition
Fani Deligianni13
Estimated H-index: 13
,
Jonathan D. Clayden
Predictive modelling of functional connectomes from structural connectomes explores commonalities across multimodal imaging data. However, direct application of multivariate approaches such as sparse Canonical Correlation Analysis (sCCA) applies on the vectorised elements of functional connectivity across subjects and it does not guarantee that the predicted models of functional connectivity are Symmetric Positive Matrices (SPD). We suggest an elegant solution based on the transportation of the ...
Published on May 1, 2018in Information Fusion 6.64
Fani Deligianni13
Estimated H-index: 13
(Imperial College London),
Charence Wong6
Estimated H-index: 6
(Imperial College London)
+ 1 AuthorsGuang-Zhong Yang55
Estimated H-index: 55
(Imperial College London)
A two-step approach for modelling spatio-temporal GRFs distributions and foot angle.Fusion of e-AR signal and video to model the foot angle during key gait events.Invariant features of angular information from video recordings improve performance. Gait analysis plays an important role in several conditions, including the rehabilitation of patients with orthopaedic problems and the monitoring of neurological conditions, mental health problems and the well-being of elderly subjects. It also consti...
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Published on Jan 1, 2018in arXiv: Artificial Intelligence
Javier Andreu Perez , Fani Deligianni13
Estimated H-index: 13
+ 1 AuthorsGuang-Zhong Yang55
Estimated H-index: 55
The recent successes of AI have captured the wildest imagination of both the scientific communities and the general public. Robotics and AI amplify human potentials, increase productivity and are moving from simple reasoning towards human-like cognitive abilities. Current AI technologies are used in a set area of applications, ranging from healthcare, manufacturing, transport, energy, to financial services, banking, advertising, management consulting and government agencies. The global AI market...
Published on Jan 1, 2017 in Biomedical and Health Informatics
Daniele Ravì10
Estimated H-index: 10
(Imperial College London),
Charence Wong6
Estimated H-index: 6
(Imperial College London)
+ 4 AuthorsGuang-Zhong Yang55
Estimated H-index: 55
(Imperial College London)
With a massive influx of multimodality data, the role of data analytics in health informatics has grown rapidly in the last decade. This has also prompted increasing interests in the generation of analytical, data driven models based on machine learning in health informatics. Deep learning, a technique with its foundation in artificial neural networks, is emerging in recent years as a powerful tool for machine learning, promising to reshape the future of artificial intelligence. Rapid improvemen...
111 Citations Source Cite
Published on Apr 14, 2016in PLOS ONE 2.77
Fani Deligianni13
Estimated H-index: 13
(University College London),
David W. Carmichael23
Estimated H-index: 23
(University College London)
+ 2 AuthorsJonathan D. Clayden20
Estimated H-index: 20
(University College London)
In Diffusion Weighted MR Imaging (DWI), the signal is affected by the biophysical properties of neuronal cells and their relative placement, as well as extra-cellular tissue compartments. Typically, microstructural indices, such as fractional anisotropy (FA) and mean diffusivity (MD), are based on a tensor model that cannot disentangle the influence of these parameters. Recently, Neurite Orientation Dispersion and Density Imaging (NODDI) has exploited multi-shell acquisition protocols to model t...
9 Citations Source Cite
Published on Aug 28, 2014in Frontiers in Neuroscience 3.88
Fani Deligianni13
Estimated H-index: 13
,
Maria Centeno13
Estimated H-index: 13
+ 1 AuthorsJonathan D. Clayden20
Estimated H-index: 20
Whole brain functional connectomes hold promise for understanding human brain activity across a range of cognitive, developmental and pathological states. So called resting-state (rs) functional MRI studies have contributed to the brain being considered at a macroscopic scale as a set of interacting regions. Interactions are defined as correlation-based signal measurements driven by blood oxygenation level dependent (BOLD) contrast. Understanding the neurophysiological basis of these measurement...
24 Citations Source Cite
Published on Jul 29, 2014in F1000Research
Fani Deligianni13
Estimated H-index: 13
,
Maria Centeno13
Estimated H-index: 13
+ 1 AuthorsJonathan D. Clayden20
Estimated H-index: 20
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Published on Oct 30, 2014in PLOS ONE 2.77
Chris Parker2
Estimated H-index: 2
(University College London),
Fani Deligianni13
Estimated H-index: 13
(UCL Institute of Child Health)
+ 6 AuthorsJonathan D. Clayden20
Estimated H-index: 20
(UCL Institute of Child Health)
Structural brain networks may be reconstructed from diffusion MRI tractography data and have great potential to further our understanding of the topological organisation of brain structure in health and disease. Network reconstruction is complex and involves a series of processesing methods including anatomical parcellation, registration, fiber orientation estimation and whole-brain fiber tractography. Methodological choices at each stage can affect the anatomical accuracy and graph theoretical ...
11 Citations Source Cite
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