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Neil P. Oxtoby
ORCID
Publication Activity (10 Years)
Years Active: 2014-2023
Publications (10 Years): 33
Top Topics
Cross Sectional
Kernel Ridge Regression
Image Segmentation
Disease Progression
Top Venues
CoRR
NeuroImage
IPMI
Medical Image Anal.
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Publications
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Mou-Cheng Xu
,
Yukun Zhou
,
Chen Jin
,
Marius de Groot
,
Daniel C. Alexander
,
Neil P. Oxtoby
,
Joseph Jacob
MisMatch: Calibrated Segmentation via Consistency on Differential Morphological Feature Perturbations With Limited Labels.
IEEE Trans. Medical Imaging
42 (10) (2023)
Hanyi Chen
,
Alexandra L. Young
,
Neil P. Oxtoby
,
Frederik Barkhof
,
Daniel C. Alexander
,
André Altmann
Transferability of Alzheimer's disease progression subtypes to an independent population cohort.
NeuroImage
271 (2023)
Tiantian He
,
Elinor Thompson
,
Anna Schroder
,
Neil P. Oxtoby
,
Ahmed Abdulaal
,
Frederik Barkhof
,
Daniel C. Alexander
A coupled-mechanisms modelling framework for neurodegeneration.
CoRR
(2023)
Mou-Cheng Xu
,
Yukun Zhou
,
Chen Jin
,
Marius de Groot
,
Daniel C. Alexander
,
Neil P. Oxtoby
,
Yipeng Hu
,
Joseph Jacob
Expectation Maximization Pseudo Labelling for Segmentation with Limited Annotations.
CoRR
(2023)
Tiantian He
,
Elinor Thompson
,
Anna Schroder
,
Neil P. Oxtoby
,
Ahmed Abdulaal
,
Frederik Barkhof
,
Daniel C. Alexander
A Coupled-Mechanisms Modelling Framework for Neurodegeneration.
MICCAI (8)
(2023)
Janice M. Ranson
,
Magda Bucholc
,
Donald Lyall
,
Danielle Newby
,
Laura Winchester
,
Neil P. Oxtoby
,
Michele Veldsman
,
Timothy Rittman
,
Sarah J. Marzi
,
Nathan Skene
,
Ahmad Al Khleifat
,
Isabelle F. Foote
,
Vasiliki Orgeta
,
Andrey Kormilitzin
,
Ilianna Lourida
,
David J. Llewellyn
Harnessing the potential of machine learning and artificial intelligence for dementia research.
Brain Informatics
10 (1) (2023)
Neil P. Oxtoby
Data-Driven Disease Progression Modelling.
CoRR
(2022)
Mou-Cheng Xu
,
Yukun Zhou
,
Chen Jin
,
Marius de Groot
,
Daniel C. Alexander
,
Neil P. Oxtoby
,
Yipeng Hu
,
Joseph Jacob
Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-supervised Segmentation.
MICCAI (5)
(2022)
Mou-Cheng Xu
,
Yukun Zhou
,
Chen Jin
,
Stefano B. Blumberg
,
Frederick J. Wilson
,
Marius de Groot
,
Daniel C. Alexander
,
Neil P. Oxtoby
,
Joseph Jacob
Learning Morphological Feature Perturbations for Calibrated Semi-Supervised Segmentation.
MIDL
(2022)
Mou-Cheng Xu
,
Yukun Zhou
,
Chen Jin
,
Stefano B. Blumberg
,
Frederick J. Wilson
,
Marius de Groot
,
Daniel C. Alexander
,
Neil P. Oxtoby
,
Joseph Jacob
Learning Morphological Feature Perturbations for Calibrated Semi-Supervised Segmentation.
CoRR
(2022)
Esther E. Bron
,
Stefan Klein
,
Annika Reinke
,
Janne M. Papma
,
Lena Maier-Hein
,
Daniel C. Alexander
,
Neil P. Oxtoby
Ten years of image analysis and machine learning competitions in dementia.
NeuroImage
253 (2022)
Mou-Cheng Xu
,
Yukun Zhou
,
Chen Jin
,
Marius de Groot
,
Daniel C. Alexander
,
Neil P. Oxtoby
,
Yipeng Hu
,
Joseph Jacob
Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-Supervised Segmentation.
CoRR
(2022)
Neil P. Oxtoby
,
Cameron Shand
,
David M. Cash
,
Daniel C. Alexander
,
Frederik Barkhof
Targeted Screening for Alzheimer's Disease Clinical Trials Using Data-Driven Disease Progression Models.
Frontiers Artif. Intell.
5 (2022)
Daniele Ravì
,
Stefano B. Blumberg
,
Silvia Ingala
,
Frederik Barkhof
,
Daniel C. Alexander
,
Neil P. Oxtoby
Degenerative adversarial neuroimage nets for brain scan simulations: Application in ageing and dementia.
Medical Image Anal.
75 (2022)
Esther E. Bron
,
Stefan Klein
,
Annika Reinke
,
Janne M. Papma
,
Lena Maier-Hein
,
Daniel C. Alexander
,
Neil P. Oxtoby
Ten years of image analysis and machine learning competitions in dementia.
CoRR
(2021)
Alexandra L. Young
,
Jacob W. Vogel
,
Leon M. Aksman
,
Peter A. Wijeratne
,
Arman Eshaghi
,
Neil P. Oxtoby
,
Steven C. R. Williams
,
Daniel C. Alexander
Ordinal SuStaIn: Subtype and Stage Inference for Clinical Scores, Visual Ratings, and Other Ordinal Data.
Frontiers Artif. Intell.
4 (2021)
Mou-Cheng Xu
,
Yukun Zhou
,
Chen Jin
,
Stefano B. Blumberg
,
Frederick J. Wilson
,
Marius de Groot
,
Neil P. Oxtoby
,
Daniel C. Alexander
,
Joseph Jacob
MisMatch: Learning to Change Predictive Confidences with Attention for Consistency-Based, Semi-Supervised Medical Image Segmentation.
CoRR
(2021)
Damiano Archetti
,
Alexandra L. Young
,
Neil P. Oxtoby
,
Daniel Ferreira
,
Gustav Mårtensson
,
Eric Westman
,
Daniel C. Alexander
,
Giovanni B. Frisoni
,
Alberto Redolfi
Inter-Cohort Validation of SuStaIn Model for Alzheimer's Disease.
Frontiers Big Data
4 (2021)
Leon M. Aksman
,
Peter A. Wijeratne
,
Neil P. Oxtoby
,
Arman Eshaghi
,
Cameron Shand
,
André Altmann
,
Daniel C. Alexander
,
Alexandra L. Young
pySuStaIn: A Python implementation of the Subtype and Stage Inference algorithm.
SoftwareX
16 (2021)
Maura Bellio
,
Dominic Furniss
,
Neil P. Oxtoby
,
Sara Garbarino
,
Nicholas C. Firth
,
Annemie Ribbens
,
Daniel C. Alexander
,
Ann Blandford
Opportunities and Barriers for Adoption of a Decision-Support Tool for Alzheimer's Disease.
ACM Trans. Comput. Heal.
2 (4) (2021)
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
ABCD Neurocognitive Prediction Challenge 2019: Predicting Individual Residual Fluid Intelligence Scores from Cortical Grey Matter Morphology.
ABCD-NP@MICCAI
(2019)
Razvan V. Marinescu
,
Arman Eshaghi
,
Marco Lorenzi
,
Alexandra L. Young
,
Neil P. Oxtoby
,
Sara Garbarino
,
Sebastian J. Crutch
,
Daniel C. Alexander
DIVE: A spatiotemporal progression model of brain pathology in neurodegenerative disorders.
CoRR
(2019)
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
TADPOLE Challenge: Accurate Alzheimer's Disease Prediction Through Crowdsourced Forecasting of Future Data.
PRIME@MICCAI
(2019)
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
ABCD Neurocognitive Prediction Challenge 2019: Predicting Individual Fluid Intelligence Scores from Structural MRI Using Probabilistic Segmentation and Kernel Ridge Regression.
ABCD-NP@MICCAI
(2019)
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
Disease Knowledge Transfer across Neurodegenerative Diseases.
CoRR
(2019)
Daniele Ravì
,
Daniel C. Alexander
,
Neil P. Oxtoby
Degenerative Adversarial NeuroImage Nets: Generating Images that Mimic Disease Progression.
CoRR
(2019)
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
Disease Knowledge Transfer Across Neurodegenerative Diseases.
MICCAI (2)
(2019)
Razvan V. Marinescu
,
Arman Eshaghi
,
Marco Lorenzi
,
Alexandra L. Young
,
Neil P. Oxtoby
,
Sara Garbarino
,
Sebastian J. Crutch
,
Daniel C. Alexander
DIVE: A spatiotemporal progression model of brain pathology in neurodegenerative disorders.
NeuroImage
192 (2019)
Daniele Ravì
,
Stefano B. Blumberg
,
Daniel C. Alexander
,
Neil P. Oxtoby
Degenerative Adversarial NeuroImage Nets for 3D Simulations: Application in Longitudinal MRI.
CoRR
(2019)
Daniele Ravì
,
Daniel C. Alexander
,
Neil P. Oxtoby
Degenerative Adversarial NeuroImage Nets: Generating Images that Mimic Disease Progression.
MICCAI (3)
(2019)
Razvan V. Marinescu
,
Arman Eshaghi
,
Marco Lorenzi
,
Alexandra L. Young
,
Neil P. Oxtoby
,
Sara Garbarino
,
Timothy J. Shakespeare
,
Sebastian J. Crutch
,
Daniel C. Alexander
A Vertex Clustering Model for Disease Progression: Application to Cortical Thickness Images.
IPMI
(2017)
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
Multiple Orderings of Events in Disease Progression.
IPMI
(2015)
Alexandra L. Young
,
Neil P. Oxtoby
,
Sébastien Ourselin
,
Jonathan M. Schott
,
Daniel C. Alexander
A simulation system for biomarker evolution in neurodegenerative disease.
Medical Image Anal.
26 (1) (2015)
Neil P. Oxtoby
,
Alexandra L. Young
,
Nick C. Fox
,
Pankaj Daga
,
David M. Cash
,
Sébastien Ourselin
,
Jonathan M. Schott
,
Daniel C. Alexander
Learning Imaging Biomarker Trajectories from Noisy Alzheimer's Disease Data Using a Bayesian Multilevel Model.
BAMBI
(2014)