805 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Queen Mary University of LondonGB12 papers
- Barts Health NHS TrustGB3 papers
- Universitat Pompeu FabraES3 papers
- University of OxfordGB3 papers
- Health Data Research UKGB2 papers
- King's College LondonGB2 papers
- Stanford UniversityUS2 papers
- St Bartholomew's HospitalGB2 papers
- The Alan Turing InstituteGB2 papers
- Universitat de BarcelonaES2 papers
- University of SheffieldGB2 papers
- University of TorontoCA2 papers
12 papers
LinkML: An Open Data Modeling Framework
Sierra A. T. Moxon, Harold Solbrig, Nomi L. Harris +33
Scientific research relies on well-structured, standardized data; however, much of it is stored in formats such as free-text lab notebooks, non-standardized spreadsheets, or data r…
"We'll have to see how it works": An interview study to understand collaborative practices in interdisciplinary artificial intelligence and healthcare research
Rafael Henkin, Elizabeth Remfry, Duncan J. Reynolds +2
Developing artificial intelligence (AI) algorithms for healthcare is a collaborative effort, bringing data scientists, clinicians, patients and other stakeholders together. By unde…
A Perspective on Explainable Artificial Intelligence Methods: SHAP and LIME
Ahmed Salih, Zahra Raisi-Estabragh, Ilaria Boscolo Galazzo +4
eXplainable artificial intelligence (XAI) methods have emerged to convert the black box of machine learning (ML) models into a more digestible form. These methods help to communica…
Characterizing the contribution of dependent features in XAI methods
Ahmed Salih, Ilaria Boscolo Galazzo, Zahra Raisi-Estabragh +3
Explainable Artificial Intelligence (XAI) provides tools to help understanding how the machine learning models work and reach a specific outcome. It helps to increase the interpret…
Estimating Uncertainty in Neural Networks for Cardiac MRI Segmentation: A Benchmark Study
Matthew Ng, Fumin Guo, Labonny Biswas +4
Objective: Convolutional neural networks (CNNs) have demonstrated promise in automated cardiac magnetic resonance image segmentation. However, when using CNNs in a large real-world…
A radiomics approach to analyze cardiac alterations in hypertension
Irem Cetin, Steffen E. Petersen, Sandy Napel +3
Hypertension is a medical condition that is well-established as a risk factor for many major diseases. For example, it can cause alterations in the cardiac structure and function o…
A Radiomics Approach to Computer-Aided Diagnosis with Cardiac Cine-MRI
Irem Cetin, Gerard Sanroma, Steffen E. Petersen +4
Use expert visualization or conventional clinical indices can lack accuracy for borderline classications. Advanced statistical approaches based on eigen-decomposition have been mos…
Automated Quality Control in Image Segmentation: Application to the UK Biobank Cardiac MR Imaging Study
Robert Robinson, Vanya V. Valindria, Wenjia Bai +19
Background: The trend towards large-scale studies including population imaging poses new challenges in terms of quality control (QC). This is a particular issue when automatic proc…
High Throughput Computation of Reference Ranges of Biventricular Cardiac Function on the UK Biobank Population Cohort
Rahman Attar, Marco Pereanez, Ali Gooya +6
The exploitation of large-scale population data has the potential to improve healthcare by discovering and understanding patterns and trends within this data. To enable high throug…
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…
Predicting genome-wide DNA methylation using methylation marks, genomic position, and DNA regulatory elements
Weiwei Zhang, Tim D Spector, Panos Deloukas +2
Background: Recent assays for individual-specific genome-wide DNA methylation profiles have enabled epigenome-wide association studies to identify specific CpG sites associated wit…
Network analysis reveals distinct clinical syndromes underlying acute mountain sickness
David P Hall, Ian JC MacCormick, Alex T Phythian-Adams +10
Acute mountain sickness (AMS) is a common problem among visitors at high altitude, and may progress to life-threatening pulmonary and cerebral oedema in a minority of cases. Intern…