Nicholas D. Embleton

Orcid: 0000-0003-3750-5566

According to our database1, Nicholas D. Embleton authored at least 7 papers between 2019 and 2022.

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Bibliography

2022
PCPP: A MATLAB application for abnormal infant movement detection from video.
Softw. Impacts, December, 2022

Integrating longitudinal clinical and microbiome data to predict growth faltering in preterm infants.
J. Biomed. Informatics, 2022

2021
Identification of Abnormal Movements in Infants: A Deep Neural Network for Body Part-Based Prediction of Cerebral Palsy.
IEEE Access, 2021

Towards Explainable Abnormal Infant Movements Identification: A Body-part Based Prediction and Visualisation Framework.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021

2020
Abnormal Infant Movements Classification With Deep Learning on Pose-Based Features.
IEEE Access, 2020

Quality Metrics to Guide Visual Analysis of High Dimensional Genomics Data.
Proceedings of the 11th International EuroVis Workshop on Visual Analytics, 2020

2019
Establishing Pose Based Features Using Histograms for the Detection of Abnormal Infant Movements.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019


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