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Fani Deligianni
Imperial College London
45Publications
14H-index
750Citations
Publications 45
Newest
Published on Nov 19, 2018in arXiv: Neurons and Cognition
Fani Deligianni14
Estimated H-index: 14
,
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 Jun 24, 2018
Fani Deligianni14
Estimated H-index: 14
,
Harsimrat Singh6
Estimated H-index: 6
+ 3 AuthorsGuang-Zhong Yang55
Estimated H-index: 55
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Published on May 1, 2018in Information Fusion 6.64
Fani Deligianni14
Estimated H-index: 14
(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 Mar 1, 2018
Xiao Gu1
Estimated H-index: 1
(Fudan University),
Fani Deligianni14
Estimated H-index: 14
(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
(Imperial College London),
Daniel Freer1
Estimated H-index: 1
(Imperial College London)
+ 2 AuthorsGuang-Zhong Yang55
Estimated H-index: 55
(Imperial College London)
Abstract A significant fraction of the world population is plagued by neuromuscular disorders which have no cure other than symptomatic management. An increasingly aging world population would inevitably lead to a further rise in these numbers. The management of the manifestations of many neuromuscular diseases ranging from Parkinson’s disease to stroke has been an active research topic in robotics since the 1960s. Pivotal advances in sensing, actuation, energy sources, and computing technologie...
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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
Source Cite
Published on Jun 25, 2017in arXiv: Artificial Intelligence
Javier Andreu Perez , Fani Deligianni14
Estimated H-index: 14
+ 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...
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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...
133 Citations Source Cite
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