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)

Prior-less 3D Human Shape Reconstruction with an Earth Mover's Distance Informed CNN. - Jingtian Zhang; Hubert P. H. Shum; Kevin D. McCay; Edmond S. L. Ho (MIG, 2019)

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)

Assessing Facial Symmetry and Attractiveness using Augmented Reality. - Wei Wei 006; Edmond S. L. Ho; Kevin D. McCay; Robertas Damasevicius; Rytis Maskeliunas; Anna Esposito (Pattern Anal. Appl., 2022)

Automated early prediction of cerebral palsy: interpretable pose-based assessment for the identification of abnormal infant movements. - Kevin D. McCay (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)