David J. Sharp

According to our database, David J. Sharp authored at least 27 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Just a phase? Causal probing reveals spurious phasic dependence of sustained attention.

Matteo Vinao-Carl, Yuval Gal-Shohet, Edward Rhodes, J. Li, Adam Hampshire, David J. Sharp, Nir Grossman

NeuroImage, January, 2024

2023

Identifying Household Fingerprint Using Intelligent Passive Monitoring for People Living with Dementia.

Alina-Irina Serban, Helen Lai, Sarah Daniels, Rafael A. Calvo, David J. Sharp, Eyal Soreq

Proceedings of the International Conference on Machine Learning and Applications, 2023

2022

Conversational Affective Social Robots for Ageing and Dementia Support.

Maria R. Lima, Maitreyee Wairagkar, Manish Gupta, Ferdinando Rodriguez y Baena, Payam M. Barnaghi, David J. Sharp, Ravi Vaidyanathan

IEEE Trans. Cogn. Dev. Syst., 2022

The effect of COVID-19 on the home behaviours of people affected by dementia.

Alina-Irina Serban, Eyal Soreq, Payam M. Barnaghi, Sarah Daniels, Rafael A. Calvo, David J. Sharp

npj Digit. Medicine, 2022

Distributional Gaussian Processes Layers for Out-of-Distribution Detection.

Sebastian G. Popescu, David J. Sharp, James H. Cole, Konstantinos Kamnitsas, Ben Glocker

CoRR, 2022

Automatic Lesion Analysis for Increased Efficiency in Outcome Prediction of Traumatic Brain Injury.

Margherita Rosnati, Eyal Soreq, Miguel Monteiro, Lucia M. Li, Neil S. N. Graham, Karl Zimmerman, Carlotta Rossi, Greta Carrara, Guido Bertolini, David J. Sharp, Ben Glocker

Proceedings of the Machine Learning in Clinical Neuroimaging - 5th International Workshop, 2022

2021

Designing A Clinically Applicable Deep Recurrent Model to Identify Neuropsychiatric Symptoms in People Living with Dementia Using In-Home Monitoring Data.

Francesca Palermo, Honglin Li, Alexander Capstick, Nan Fletcher-Lloyd, Yuchen Zhao, Samaneh Kouchaki, Ramin Nilforooshan, David J. Sharp, Payam M. Barnaghi

CoRR, 2021

An attention model to analyse the risk of agitation and urinary tract infections in people with dementia.

Honglin Li, Roonak Rezvani, Magdalena Anita Kolanko, David J. Sharp, Maitreyee Wairagkar, Ravi Vaidyanathan, Ramin Nilforooshan, Payam M. Barnaghi

CoRR, 2021

Distributional Gaussian Process Layers for Outlier Detection in Image Segmentation.

Sebastian G. Popescu, David J. Sharp, James H. Cole, Konstantinos Kamnitsas, Ben Glocker

Proceedings of the Information Processing in Medical Imaging, 2021

2020

Machine learning for risk analysis of Urinary Tract Infection in people with dementia.

Honglin Li, Payam M. Barnaghi, Severin Skillman, David J. Sharp, Ramin Nilforooshan, Helen Rostill

CoRR, 2020

Hierarchical Gaussian Processes with Wasserstein-2 Kernels.

Sebastian Popescu, David J. Sharp, James H. Cole, Ben Glocker

CoRR, 2020

A Digital Platform for Remote Healthcare Monitoring.

Shirin Enshaeifar, Payam M. Barnaghi, Severin Skillman, David J. Sharp, Ramin Nilforooshan, Helen Rostill

Proceedings of the Companion of The 2020 Web Conference 2020, 2020

2019

Cognitive enhancement with Salience Network electrical stimulation is influenced by network structural connectivity.

Lucia M. Li, Inês R. Violante, Robert Leech, Adam Hampshire, Alexander Opitz, David McArthur, David W. Carmichael, David J. Sharp

NeuroImage, 2019

2016

Novel Modeling of Task vs. Rest Brain State Predictability Using a Dynamic Time Warping Spectrum: Comparisons and Contrasts with Other Standard Measures of Brain Dynamics.

Martin Dinov, Romy Lorenz, Gregory P. T. Scott, David J. Sharp, Erik D. Fagerholm, Robert Leech

Frontiers Comput. Neurosci., 2016

Towards tailoring non-invasive brain stimulation using real-time fMRI and Bayesian optimization.

Romy Lorenz, Ricardo Pio Monti, Adam Hampshire, Yury Koush, Christoforos Anagnostopoulos, Aldo A. Faisal, David J. Sharp, Giovanni Montana, Robert Leech, Inês R. Violante

Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2016

2014

Estimating time-varying brain connectivity networks from functional MRI time series.

Ricardo Pio Monti, Peter Hellyer, David J. Sharp, Robert Leech, Christoforos Anagnostopoulos, Giovanni Montana

NeuroImage, 2014

2013

A Framework for Inter-Subject Prediction of Functional Connectivity From Structural Networks.

Fani Deligianni, Gaël Varoquaux, Bertrand Thirion, David J. Sharp, Christian Ledig, Robert Leech, Daniel Rueckert

IEEE Trans. Medical Imaging, 2013

Separable networks for top-down attention to auditory non-spatial and visuospatial modalities.

Rodrigo M. Braga, Liam R. Wilson, David J. Sharp, Richard J. S. Wise, Robert Leech

NeuroImage, 2013

2012

A robust method for investigating thalamic white matter tracts after traumatic brain injury.

Letizia Squarcina, Alessandra Bertoldo, Timothy E. Ham, Rolf A. Heckemann, David J. Sharp

NeuroImage, 2012

Regional changes in thalamic shape and volume with increasing age.

Emer J. Hughes, Jacqueline Bond, Patricia Svrckova, Antonios Makropoulos, Gareth Ball, David J. Sharp, A. David Edwards, Joseph V. Hajnal, Serena J. Counsell

NeuroImage, 2012

2011

Relating Brain Functional Connectivity to Anatomical Connections: Model Selection.

Fani Deligianni, Gaël Varoquaux, Bertrand Thirion, Emma C. Robinson, David J. Sharp, A. David Edwards, Daniel Rueckert

Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011

Hierarchy in structural brain networks.

Fani Deligianni, Emma C. Robinson, David J. Sharp, A. David Edwards, Daniel Rueckert, Daniel C. Alexander

Proceedings of the Medical Image Understanding and Analysis, 2011

Exploiting hierarchy in structural brain networks.

Fani Deligianni, Emma C. Robinson, David J. Sharp, A. David Edwards, Daniel Rueckert, Daniel C. Alexander

Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Inference of functional connectivity from direct and indirect structural brain connections.

Fani Deligianni, Emma C. Robinson, Christian F. Beckmann, David J. Sharp, A. David Edwards, Daniel Rueckert

Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

A Probabilistic Framework to Infer Brain Functional Connectivity from Anatomical Connections.

Fani Deligianni, Gaël Varoquaux, Bertrand Thirion, Emma C. Robinson, David J. Sharp, A. David Edwards, Daniel Rueckert

Proceedings of the Information Processing in Medical Imaging, 2011

2010

Inference of functional connectivity from structural brain connectivity.

Fani Deligianni, Emma C. Robinson, Christian F. Beckmann, David J. Sharp, A. David Edwards, Daniel Rueckert

Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

2007

Automated Microscopy Screen to Identify Components Required for Mitotic Cell Cycle Progression in Human Cells.

Daniel R. Rines, Mariana Gomez, Yingyao Zhou, Paul DeJesus, Seanna Grob, Serge Batalov, Marc Labow, Dieter Huesken, Craig Mickanin, Jonathan Hall, Mischa Reinhardt, Francois Natt, Joerg Lange, David J. Sharp, Sumit K. Chanda, Jeremy S. Caldwell

Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007