Nicholas D. Embleton

Publication Activity (10 Years)

Years Active: 2019-2022
Publications (10 Years): 7

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Publications

Edmond S. L. Ho, Kevin D. McCay, Claire Marcroft, Nicholas D. Embleton
PCPP: A MATLAB application for abnormal infant movement detection from video. Softw. Impacts 14 (2022)
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, Arti Tandon, David Genetti, Tracy Warren, Ziv Bar-Joseph
Integrating longitudinal clinical and microbiome data to predict growth faltering in preterm infants. J. Biomed. Informatics 128 (2022)
Kevin D. McCay, Edmond S. L. Ho, Dimitrios Sakkos, Wai Lok Woo, Claire Marcroft, Patricia Dulson, Nicholas D. Embleton
Towards Explainable Abnormal Infant Movements Identification: A Body-part Based Prediction and Visualisation Framework. CoRR (2021)
Kevin D. McCay, Edmond S. L. Ho, Dimitrios Sakkos, Wai Lok Woo, Claire Marcroft, Patricia Dulson, Nicholas D. Embleton
Towards Explainable Abnormal Infant Movements Identification: A Body-part Based Prediction and Visualisation Framework. BHI (2021)
Dimitrios Sakkos, Kevin D. McCay, Claire Marcroft, Nicholas D. Embleton, Samiran Chattopadhyay, Edmond S. L. Ho
Identification of Abnormal Movements in Infants: A Deep Neural Network for Body Part-Based Prediction of Cerebral Palsy. IEEE Access 9 (2021)
Kevin D. McCay, Edmond S. L. Ho, Hubert P. H. Shum, Gerhard Fehringer, Claire Marcroft, Nicholas D. Embleton
Abnormal Infant Movements Classification With Deep Learning on Pose-Based Features. IEEE Access 8 (2020)
Kevin D. McCay, Edmond S. L. Ho, Claire Marcroft, Nicholas D. Embleton
Establishing Pose Based Features Using Histograms for the Detection of Abnormal Infant Movements. EMBC (2019)