Alexandra L. Young
Orcid: 0000-0002-7772-781X
According to our database1,
Alexandra L. Young
authored at least 19 papers
between 2014 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
Transferability of Alzheimer's disease progression subtypes to an independent population cohort.
NeuroImage, May, 2023
Proceedings of the Information Processing in Medical Imaging, 2023
2022
Optimising Chest X-Rays for Image Analysis by Identifying and Removing Confounding Factors.
Proceedings of 2022 International Conference on Medical Imaging and Computer-Aided Diagnosis, 2022
2021
SoftwareX, 2021
Ordinal SuStaIn: Subtype and Stage Inference for Clinical Scores, Visual Ratings, and Other Ordinal Data.
Frontiers Artif. Intell., 2021
Frontiers Big Data, 2021
2019
DIVE: A spatiotemporal progression model of brain pathology in neurodegenerative disorders.
NeuroImage, 2019
TADPOLE Challenge: Accurate Alzheimer's Disease Prediction Through Crowdsourced Forecasting of Future Data.
Proceedings of the Predictive Intelligence in Medicine - Second International Workshop, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
InSpect: INtegrated SPECTral Component Estimation and Mapping for Multi-contrast Microstructural MRI.
Proceedings of the Information Processing in Medical Imaging, 2019
2018
Computational Modelling of Pathogenic Protein Behaviour-Governing Mechanisms in the Brain.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
2017
A Vertex Clustering Model for Disease Progression: Application to Cortical Thickness Images.
Proceedings of the Information Processing in Medical Imaging, 2017
2016
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016
2015
Medical Image Anal., 2015
Proceedings of the 17th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct, 2015
Proceedings of the Information Processing in Medical Imaging, 2015
2014
Learning Imaging Biomarker Trajectories from Noisy Alzheimer's Disease Data Using a Bayesian Multilevel Model.
Proceedings of the Bayesian and grAphical Models for Biomedical Imaging, 2014