Roslyn N. Boyd
Orcid: 0000-0002-4919-5975
According to our database1,
Roslyn N. Boyd
authored at least 9 papers
between 2011 and 2023.
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Bibliography
2023
Early brain morphometrics from neonatal MRI predict motor and cognitive outcomes at 2-years corrected age in very preterm infants.
NeuroImage, 2023
2020
Machine Learning to Quantify Physical Activity in Children with Cerebral Palsy: Comparison of Group, Group-Personalized, and Fully-Personalized Activity Classification Models.
Sensors, 2020
Predicting motor outcome in preterm infants from very early brain diffusion MRI using a deep learning convolutional neural network (CNN) model.
NeuroImage, 2020
Brain microstructure and morphology of very preterm-born infants at term equivalent age: Associations with motor and cognitive outcomes at 1 and 2 years.
NeuroImage, 2020
2019
Development of a Wearable Sensor Network for Quantification of Infant General Movements for the Diagnosis of Cerebral Palsy.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
2018
Proceedings of the Data Driven Treatment Response Assessment - and - Preterm, Perinatal, and Paediatric Image Analysis, 2018
2017
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
2015
Expectation-Maximization with Image-Weighted Markov Random Fields to Handle Severe Pathology.
Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications, 2015
2011
MRI Structural Connectivity, Disruption of Primary Sensorimotor Pathways, and Hand Function in Cerebral Palsy.
Brain Connect., 2011