Neil Oxtoby
Orcid: 0000-0003-0203-3909
According to our database1,
Neil Oxtoby
authored at least 32 papers
between 2011 and 2023.
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Bibliography
2023
Harnessing the potential of machine learning and artificial intelligence for dementia research.
Brain Informatics, December, 2023
MisMatch: Calibrated Segmentation via Consistency on Differential Morphological Feature Perturbations With Limited Labels.
IEEE Trans. Medical Imaging, October, 2023
Transferability of Alzheimer's disease progression subtypes to an independent population cohort.
NeuroImage, May, 2023
Bayesian inference of a new Mallows model for characterising symptom sequences applied in primary progressive aphasia.
CoRR, 2023
CoRR, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
2022
NeuroImage, 2022
Degenerative adversarial neuroimage nets for brain scan simulations: Application in ageing and dementia.
Medical Image Anal., 2022
Targeted Screening for Alzheimer's Disease Clinical Trials Using Data-Driven Disease Progression Models.
Frontiers Artif. Intell., 2022
Learning Morphological Feature Perturbations for Calibrated Semi-Supervised Segmentation.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022
Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-supervised Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
2021
SoftwareX, 2021
Opportunities and Barriers for Adoption of a Decision-Support Tool for Alzheimer's Disease.
ACM Trans. Comput. Heal., 2021
Ordinal SuStaIn: Subtype and Stage Inference for Clinical Scores, Visual Ratings, and Other Ordinal Data.
Frontiers Artif. Intell., 2021
Frontiers Big Data, 2021
MisMatch: Learning to Change Predictive Confidences with Attention for Consistency-Based, Semi-Supervised Medical Image Segmentation.
CoRR, 2021
2020
Proceedings of the 31st British Machine Vision Conference 2020, 2020
2019
DIVE: A spatiotemporal progression model of brain pathology in neurodegenerative disorders.
NeuroImage, 2019
Degenerative Adversarial NeuroImage Nets for 3D Simulations: Application in Longitudinal MRI.
CoRR, 2019
Degenerative Adversarial NeuroImage Nets: Generating Images that Mimic Disease Progression.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
ABCD Neurocognitive Prediction Challenge 2019: Predicting Individual Residual Fluid Intelligence Scores from Cortical Grey Matter Morphology.
Proceedings of the Adolescent Brain Cognitive Development Neurocognitive Prediction, 2019
ABCD Neurocognitive Prediction Challenge 2019: Predicting Individual Fluid Intelligence Scores from Structural MRI Using Probabilistic Segmentation and Kernel Ridge Regression.
Proceedings of the Adolescent Brain Cognitive Development Neurocognitive Prediction, 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
2017
A Vertex Clustering Model for Disease Progression: Application to Cortical Thickness Images.
Proceedings of the Information Processing in Medical Imaging, 2017
2015
Medical Image Anal., 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
2013
Beyond Crossing Fibers: Tractography Exploiting Sub-voxel Fibre Dispersion and Neighbourhood Structure.
Proceedings of the Information Processing in Medical Imaging, 2013
2011
Proceedings of the 14th International Conference on Information Fusion, 2011