Establishing Pose Based Features Using Histograms for the Detection of Abnormal Infant Movements. - Kevin D. McCay; Edmond S. L. Ho; Claire Marcroft; Nicholas D. Embleton (EMBC, 2019)

Quality Metrics to Guide Visual Analysis of High Dimensional Genomics Data. - Sara Johansson Fernstad; Alexander Macquisten; Janet E. Berrington; Nicholas D. Embleton; Christopher J. Stewart (EuroVA@Eurographics/EuroVis, 2020)

Abnormal Infant Movements Classification With Deep Learning on Pose-Based Features. - Kevin D. McCay; Edmond S. L. Ho; Hubert P. H. Shum; Gerhard Fehringer; Claire Marcroft; Nicholas D. Embleton (IEEE Access, 2020)

Towards Explainable Abnormal Infant Movements Identification: A Body-part Based Prediction and Visualisation Framework. - Kevin D. McCay; Edmond S. L. Ho; Dimitrios Sakkos; Wai Lok Woo; Claire Marcroft; Patricia Dulson; Nicholas D. Embleton (BHI, 2021)

Identification of Abnormal Movements in Infants: A Deep Neural Network for Body Part-Based Prediction of Cerebral Palsy. - Dimitrios Sakkos; Kevin D. McCay; Claire Marcroft; Nicholas D. Embleton; Samiran Chattopadhyay; Edmond S. L. Ho (IEEE Access, 2021)

Integrating longitudinal clinical and microbiome data to predict growth faltering in preterm infants. - Jose Lugo-Martinez; Siwei Xu; Justine Levesque; Daniel Gallagher; Leslie A. Parker; Josef Neu; Christopher J. Stewart; Janet E. Berrington; Nicholas D. Embleton; Gregory Young; Katherine E. Gregory; Misty Good; et al. (J. Biomed. Informatics, 2022)

PCPP: A MATLAB application for abnormal infant movement detection from video. - Edmond S. L. Ho; Kevin D. McCay; Claire Marcroft; Nicholas D. Embleton (Softw. Impacts, 2022)