469 citations
- University of OxfordGB11 papers
- KU LeuvenBE4 papers
- Leiden University Medical CenterNL3 papers
- Nuffield FoundationGB3 papers
- University Medical Center UtrechtNL2 papers
- UNSW SydneyAU2 papers
- Allan Hancock CollegeUS1 paper
- Australian Institute of BusinessAU1 paper
- Broad InstituteUS1 paper
- Catholic University of AmericaUS1 paper
- Center for Scalable Data Analytics and Artificial IntelligenceDE1 paper
- Center for Systems Biology DresdenDE1 paper
12 papers
Developing RPC-Net: Leveraging High-Density Electromyography and Machine Learning for Improved Hand Position Estimation
Giovanni Rolandino, Marco Gagliardi, Taian Martins +3
Objective: The purpose of this study was to develop and evaluate the performance of RPC-Net (Recursive Prosthetic Control Network), a novel method using simple neural network archi…
Performance evaluation of predictive AI models to support medical decisions: Overview and guidance
Ben Van Calster, Gary S. Collins, Andrew J. Vickers +11
A myriad of measures to illustrate performance of predictive artificial intelligence (AI) models have been proposed in the literature. Selecting appropriate performance measures is…
Self-supervised Monocular Depth and Pose Estimation for Endoscopy with Latent Priors
Ziang Xu, Bin Li, Yang Hu +4
Accurate 3D mapping in endoscopy enables quantitative, holistic lesion characterization within the gastrointestinal (GI) tract, requiring reliable depth and pose estimation. Howeve…
Understanding overfitting in random forest for probability estimation: a visualization and simulation study
Lasai Barreñada, Paula Dhiman, Dirk Timmerman +2
Random forests have become popular for clinical risk prediction modelling. In a case study on predicting ovarian malignancy, we observed training c-statistics close to 1. Although…
GeneFEAST: the pivotal, gene-centric step in functional enrichment analysis interpretation
Avigail Taylor, Valentine M Macaulay, Anand K Maurya +2
Summary: GeneFEAST, implemented in Python, is a gene-centric functional enrichment analysis summarisation and visualisation tool that can be applied to large functional enrichment…
Automated Movement Detection with Dirichlet Process Mixture Models and Electromyography
Navin Cooray, Zhenglin Li, Jinzhuo Wang +6
Numerous sleep disorders are characterised by movement during sleep, these include rapid-eye movement sleep behaviour disorder (RBD) and periodic limb movement disorder. The proces…