4.8k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of CambridgeGB6 papers
- King's College LondonGB5 papers
- University College LondonGB4 papers
- University of OxfordGB4 papers
- NIHR Cambridge Biomedical Research CentreGB3 papers
- Queen Mary University of LondonGB3 papers
- Addenbrooke's HospitalGB2 papers
- British Heart FoundationGB2 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- Guy's and St Thomas' NHS Foundation TrustGB2 papers
- Imperial College LondonGB2 papers
- National Hospital for Neurology and NeurosurgeryGB2 papers
16 papers
A Bayesian location-scale joint model for time-to-event and multivariate longitudinal data with association based on within-individual variability
Marco Palma, Ruth H Keogh, Siobhán B Carr +5
Within-individual variability of health indicators measured over time is becoming commonly used to inform about disease progression. Simple summary statistics (e.g. the standard de…
Validated respiratory drug deposition predictions from 2D and 3D medical images with statistical shape models and convolutional neural networks
Josh Williams, Haavard Ahlqvist, Alexander Cunningham +7
For the one billion sufferers of respiratory disease, managing their disease with inhalers crucially influences their quality of life. Generic treatment plans could be improved wit…
Integrative Adaptive Indexes from Noisy Routine Haematological Markers can Predict and Discriminate Health Status and Biological Age
Santiago Hernández-Orozco, Abicumaran Uthamacumaran, Francisco Hernández-Quiroz +2
For more than two decades, advances in personalised medicine and precision healthcare have largely been based on genomics and other omics data. These strategies aim to tailor inter…
Developing moral AI to support antimicrobial decision making
William J Bolton, Cosmin Badea, Pantelis Georgiou +2
Artificial intelligence (AI) assisting with antimicrobial prescribing raises significant moral questions. Utilising ethical frameworks alongside AI-driven systems, while considerin…
An AI tool for automated analysis of large-scale unstructured clinical cine CMR databases
Jorge Mariscal-Harana, Clint Asher, Vittoria Vergani +9
Artificial intelligence (AI) techniques have been proposed for automating analysis of short axis (SAX) cine cardiac magnetic resonance (CMR), but no CMR analysis tool exists to aut…
A multi-centre polyp detection and segmentation dataset for generalisability assessment
Sharib Ali, Debesh Jha, Noha Ghatwary +12
Polyps in the colon are widely known cancer precursors identified by colonoscopy. Whilst most polyps are benign, the polyp's number, size and surface structure are linked to the ri…
Vessel-CAPTCHA: an efficient learning framework for vessel annotation and segmentation
Vien Ngoc Dang, Francesco Galati, Rosa Cortese +7
Deep learning techniques for 3D brain vessel image segmentation have not been as successful as in the segmentation of other organs and tissues. This can be explained by two factors…
Focal to bilateral tonic-clonic seizures are associated with widespread network abnormality in temporal lobe epilepsy
Nishant Sinha, Natalie Peternell, Gabrielle M. Schroeder +6
Objective: To identify if whole-brain structural network alterations in patients with temporal lobe epilepsy (TLE) and focal to bilateral tonic-clonic seizures (FBTCS) differ from…
Conceptualising Natural and Quasi Experiments in Public Health
Frank de Vocht, Srinivasa Vittal Katikireddi, Cheryl McQuire +3
Background: Natural or quasi experiments are appealing for public health research because they enable the evaluation of events or interventions that are difficult or impossible to…
The reliability of a deep learning model in clinical out-of-distribution MRI data: a multicohort study
Gustav Mårtensson, Daniel Ferreira, Tobias Granberg +22
Deep learning (DL) methods have in recent years yielded impressive results in medical imaging, with the potential to function as clinical aid to radiologists. However, DL models in…
The role of node dynamics in shaping emergent functional connectivity patterns in the brain
Michael Forrester, Stephen Coombes, Jonathan J. Crofts +2
The contribution of structural connectivity to functional brain states remains poorly understood. We present a mathematical and computational study suited to assess the structure--…
CoMaLit-IV. Evolution and self-similarity of scaling relations with the galaxy cluster mass
Mauro Sereno, Stefano Ettori
The scaling of observable properties of galaxy clusters with mass evolves with time. Assessing the role of the evolution is crucial to study the formation and evolution of massive…
Orthogonal invariant sets of the diffusion tensor and the development of a curvilinear set suitable for low-anisotropy tissues
Robin A. Damion, Aleksandra Radjenovic, Eileen Ingham +2
We develop a curvilinear invariant set of the diffusion tensor which may be applied to Diffusion Tensor Imaging measurements on tissues and porous media. This new set is an alterna…
Bayesian Test for Colocalisation Between Pairs of Genetic Association Studies Using Summary Statistics
Claudia Giambartolomei, Damjan Vukcevic, Eric E. Schadt +4
Genetic association studies, in particular the genome-wide association study design, have provided a wealth of novel insights into the aetiology of a wide range of human diseases a…
Statistical testing of shared genetic control for potentially related traits
Chris Wallace
Integration of data from genome-wide single nucleotide polymorphism (SNP) association studies of different traits should allow researchers to disentangle the genetics of potentiall…
Brain Network Analysis: Separating Cost from Topology using Cost-integration
Cedric E. Ginestet, Thomas E. Nichols, Ed T. Bullmore +1
A statistically principled way of conducting weighted network analysis is still lacking. Comparison of different populations of weighted networks is hard because topology is inhere…