Neil Oxtoby

According to our database, Neil Oxtoby authored at least 35 papers between 2011 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

A large-scale multi-centre study characterising atrophy heterogeneity in Alzheimer's disease.

Vikram Venkatraghavan, Damiano Archetti, Pierrick Bourgeat, Chenyang Jiang, Mara ten Kate, Anna Catharina van Loenhoud, Rik Ossenkoppele, Charlotte E. Teunissen, Elsmarieke van de Giessen, Yolande A. L. Pijnenburg, Giovanni B. Frisoni, Béla Weiss, Zoltán Vidnyánszky, Tibor Auer, Stanley Durrleman, Alberto Redolfi, Simon M. Laws, Paul Maruff, Neil P. Oxtoby, André Altmann, Daniel C. Alexander, Wiesje M. van der Flier, Frederik Barkhof, Betty M. Tijms

NeuroImage, 2025

Parsimonious EBM: Generalising the event-based model of disease progression for simultaneous events.

C. S. Parker, Neil Oxtoby, Alexandra L. Young, Dc Alexander, H. Zhang

NeuroImage, 2025

2024

Expectation maximisation pseudo labels.

Moucheng Xu, Yukun Zhou, Chen Jin, Marius de Groot, Daniel C. Alexander, Neil P. Oxtoby, Yipeng Hu, Joseph Jacob

Medical Image Anal., 2024

2023

Harnessing the potential of machine learning and artificial intelligence for dementia research.

Janice M. Ranson, Magda Bucholc, Donald Lyall, Danielle Newby, Laura Winchester, Neil P. Oxtoby, Michele Veldsman, Timothy Rittman, Sarah J. Marzi, Nathan G. Skene, Ahmad Al Khleifat, Isabelle F. Foote, Vasiliki Orgeta, Andrey Kormilitzin, Ilianna Lourida, David J. Llewellyn

Brain Informatics, December, 2023

MisMatch: Calibrated Segmentation via Consistency on Differential Morphological Feature Perturbations With Limited Labels.

Mou-Cheng Xu, Yukun Zhou, Chen Jin, Marius de Groot, Daniel C. Alexander, Neil P. Oxtoby, Joseph Jacob

IEEE Trans. Medical Imaging, October, 2023

Transferability of Alzheimer's disease progression subtypes to an independent population cohort.

Hanyi Chen, Alexandra L. Young, Neil P. Oxtoby, Frederik Barkhof, Daniel C. Alexander, André Altmann

NeuroImage, May, 2023

Bayesian inference of a new Mallows model for characterising symptom sequences applied in primary progressive aphasia.

Beatrice Taylor, Cameron Shand, Chris J. D. Hardy, Neil Oxtoby

CoRR, 2023

Expectation Maximization Pseudo Labelling for Segmentation with Limited Annotations.

Mou-Cheng Xu, Yukun Zhou, Chen Jin, Marius de Groot, Daniel C. Alexander, Neil P. Oxtoby, Yipeng Hu, Joseph Jacob

CoRR, 2023

A Coupled-Mechanisms Modelling Framework for Neurodegeneration.

Tiantian He, Elinor Thompson, Anna Schroder, Neil P. Oxtoby, Ahmed Abdulaal, Frederik Barkhof, Daniel C. Alexander

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

Ten years of image analysis and machine learning competitions in dementia.

Esther E. Bron, Stefan Klein, Annika Reinke, Janne M. Papma, Lena Maier-Hein, Daniel C. Alexander, Neil P. Oxtoby

NeuroImage, 2022

Degenerative adversarial neuroimage nets for brain scan simulations: Application in ageing and dementia.

Daniele Ravì, Stefano B. Blumberg, Silvia Ingala, Frederik Barkhof, Daniel C. Alexander, Neil P. Oxtoby

Medical Image Anal., 2022

Targeted Screening for Alzheimer's Disease Clinical Trials Using Data-Driven Disease Progression Models.

Neil P. Oxtoby, Cameron Shand, David M. Cash, Daniel C. Alexander, Frederik Barkhof

Frontiers Artif. Intell., 2022

Data-Driven Disease Progression Modelling.

Neil P. Oxtoby

CoRR, 2022

Learning Morphological Feature Perturbations for Calibrated Semi-Supervised Segmentation.

Mou-Cheng Xu, Yukun Zhou, Chen Jin, Stefano B. Blumberg, Frederick J. Wilson, Marius de Groot, Daniel C. Alexander, Neil P. Oxtoby, Joseph Jacob

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-supervised Segmentation.

Mou-Cheng Xu, Yukun Zhou, Chen Jin, Marius de Groot, Daniel C. Alexander, Neil P. Oxtoby, Yipeng Hu, Joseph Jacob

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

pySuStaIn: A Python implementation of the Subtype and Stage Inference algorithm.

Leon M. Aksman, Peter A. Wijeratne, Neil P. Oxtoby, Arman Eshaghi, Cameron Shand, André Altmann, Daniel C. Alexander, Alexandra L. Young

SoftwareX, 2021

Opportunities and Barriers for Adoption of a Decision-Support Tool for Alzheimer's Disease.

Maura Bellio, Dominic Furniss, Neil P. Oxtoby, Sara Garbarino, Nicholas C. Firth, Annemie Ribbens, Daniel C. Alexander, Ann Blandford

ACM Trans. Comput. Heal., 2021

Ordinal SuStaIn: Subtype and Stage Inference for Clinical Scores, Visual Ratings, and Other Ordinal Data.

Alexandra L. Young, Jacob W. Vogel, Leon M. Aksman, Peter A. Wijeratne, Arman Eshaghi, Neil P. Oxtoby, Steven C. R. Williams, Daniel C. Alexander

Frontiers Artif. Intell., 2021

Inter-Cohort Validation of SuStaIn Model for Alzheimer's Disease.

Damiano Archetti, Alexandra L. Young, Neil P. Oxtoby, Daniel Ferreira, Gustav Mårtensson, Eric Westman, Daniel C. Alexander, Giovanni B. Frisoni, Alberto Redolfi

Frontiers Big Data, 2021

MisMatch: Learning to Change Predictive Confidences with Attention for Consistency-Based, Semi-Supervised Medical Image Segmentation.

Mou-Cheng Xu, Yukun Zhou, Chen Jin, Stefano B. Blumberg, Frederick J. Wilson, Marius de Groot, Neil P. Oxtoby, Daniel C. Alexander, Joseph Jacob

CoRR, 2021

2020

Learning To Pay Attention To Mistakes.

Moucheng Xu, Neil Oxtoby, Daniel C. Alexander, Joseph Jacob

Proceedings of the 31st British Machine Vision Conference 2020, 2020

2019

DIVE: A spatiotemporal progression model of brain pathology in neurodegenerative disorders.

Razvan V. Marinescu, Arman Eshaghi, Marco Lorenzi, Alexandra L. Young, Neil P. Oxtoby, Sara Garbarino, Sebastian J. Crutch, Daniel C. Alexander

NeuroImage, 2019

Degenerative Adversarial NeuroImage Nets for 3D Simulations: Application in Longitudinal MRI.

Daniele Ravì, Stefano B. Blumberg, Daniel C. Alexander, Neil P. Oxtoby

CoRR, 2019

Disease Knowledge Transfer across Neurodegenerative Diseases.

Razvan V. Marinescu, Marco Lorenzi, Stefano B. Blumberg, Alexandra L. Young, Pere P. Morell, Neil P. Oxtoby, Arman Eshaghi, Keir X. Yong, Sebastian J. Crutch, Daniel C. Alexander

CoRR, 2019

Degenerative Adversarial NeuroImage Nets: Generating Images that Mimic Disease Progression.

Daniele Ravì, Daniel C. Alexander, Neil P. Oxtoby

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.

Neil P. Oxtoby, Fabio S. Ferreira, Ágoston Mihalik, Tong Wu, Mikael Brudfors, Hongxiang Lin, Anita Rau, Stefano B. Blumberg, Maria Robu, Cemre Zor, Maira Tariq, Mar Estarellas Garcia, Baris Kanber, Daniil I. Nikitichev, Janaina Mourão Miranda

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.

Ágoston Mihalik, Mikael Brudfors, Maria Robu, Fabio S. Ferreira, Hongxiang Lin, Anita Rau, Tong Wu, Stefano B. Blumberg, Baris Kanber, Maira Tariq, Mar Estarellas Garcia, Cemre Zor, Daniil I. Nikitichev, Janaina Mourão Miranda, Neil P. Oxtoby

Proceedings of the Adolescent Brain Cognitive Development Neurocognitive Prediction, 2019

TADPOLE Challenge: Accurate Alzheimer's Disease Prediction Through Crowdsourced Forecasting of Future Data.

Razvan V. Marinescu, Neil P. Oxtoby, Alexandra L. Young, Esther E. Bron, Arthur W. Toga, Michael W. Weiner, Frederik Barkhof, Nick C. Fox, Polina Golland, Stefan Klein, Daniel C. Alexander

Proceedings of the Predictive Intelligence in Medicine - Second International Workshop, 2019

Disease Knowledge Transfer Across Neurodegenerative Diseases.

Razvan V. Marinescu, Marco Lorenzi, Stefano B. Blumberg, Alexandra L. Young, Pere Planell-Morell, Neil P. Oxtoby, Arman Eshaghi, Keir X. Yong, Sebastian J. Crutch, Polina Golland, Daniel C. Alexander

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.

Razvan V. Marinescu, Arman Eshaghi, Marco Lorenzi, Alexandra L. Young, Neil P. Oxtoby, Sara Garbarino, Timothy J. Shakespeare, Sebastian J. Crutch, Daniel C. Alexander

Proceedings of the Information Processing in Medical Imaging, 2017

2015

A simulation system for biomarker evolution in neurodegenerative disease.

Alexandra L. Young, Neil P. Oxtoby, Sébastien Ourselin, Jonathan M. Schott, Daniel C. Alexander

Medical Image Anal., 2015

Multiple Orderings of Events in Disease Progression.

Alexandra L. Young, Neil P. Oxtoby, Jonathan Huang, Razvan V. Marinescu, Pankaj Daga, David M. Cash, Nick C. Fox, Sébastien Ourselin, Jonathan M. Schott, Daniel C. Alexander

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.

Neil P. Oxtoby, Alexandra L. Young, Nick C. Fox, Pankaj Daga, David M. Cash, Sébastien Ourselin, Jonathan M. Schott, Daniel C. Alexander

Proceedings of the Bayesian and grAphical Models for Biomedical Imaging, 2014

2013

Beyond Crossing Fibers: Tractography Exploiting Sub-voxel Fibre Dispersion and Neighbourhood Structure.

Matthew C. Rowe, Hui Gary Zhang, Neil Oxtoby, Daniel C. Alexander

Proceedings of the Information Processing in Medical Imaging, 2013

2011

Myriad target tracking in a dusty plasma.

Neil Oxtoby, Jason F. Ralph, Céline Durniak, Dmitry Samsonov

Proceedings of the 14th International Conference on Information Fusion, 2011