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2020 – today
- 2024
[j13]Moucheng Xu
, Yukun Zhou, Chen Jin, Marius de Groot, Daniel C. Alexander, Neil P. Oxtoby, Yipeng Hu, Joseph Jacob:
Expectation maximisation pseudo labels. Medical Image Anal. 94: 103125 (2024)- 2023
- [j12]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:
Harnessing the potential of machine learning and artificial intelligence for dementia research. Brain Informatics 10(1): 6 (2023) - [j11]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: 120005 (2023) - [j10]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): 2988-2999 (2023) - [c14]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: 459-469 - [i13]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 abs/2305.01747 (2023) - [i12]Tiantian He, Elinor Thompson, Anna Schroder, Neil P. Oxtoby, Ahmed Abdulaal, Frederik Barkhof, Daniel C. Alexander:
A coupled-mechanisms modelling framework for neurodegeneration. CoRR abs/2308.05536 (2023) - [i11]Beatrice Taylor, Cameron Shand, Chris J. D. Hardy, Neil Oxtoby:
Bayesian inference of a new Mallows model for characterising symptom sequences applied in primary progressive aphasia. CoRR abs/2311.13411 (2023) - 2022
- [j9]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: 660581 (2022) - [j8]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: 102257 (2022) - [j7]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: 119083 (2022) - [c13]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: 580-590 - [c12]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: 1413-1429 - [i10]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 abs/2203.10196 (2022) - [i9]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 abs/2208.04435 (2022) - [i8]Neil P. Oxtoby:
Data-Driven Disease Progression Modelling. CoRR abs/2211.05786 (2022) - 2021
- [j6]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: 661110 (2021) - [j5]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: 613261 (2021) - [j4]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): 32:1-32:19 (2021) - [j3]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: 100811 (2021) - [i7]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 abs/2110.12179 (2021) - [i6]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 abs/2112.07922 (2021) - 2020
- [c11]Moucheng Xu, Neil Oxtoby, Daniel C. Alexander, Joseph Jacob:
Learning To Pay Attention To Mistakes. BMVC 2020 - [i5]Mou-Cheng Xu, Neil Oxtoby, Daniel C. Alexander, Joseph Jacob:
Learning To Pay Attention To Mistakes. CoRR abs/2007.15131 (2020)
2010 – 2019
- 2019
- [j2]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: 166-177 (2019) - [c10]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: 1-10 - [c9]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: 114-123 - [c8]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: 133-142 - [c7]Daniele Ravì, Daniel C. Alexander, Neil P. Oxtoby:
Degenerative Adversarial NeuroImage Nets: Generating Images that Mimic Disease Progression. MICCAI (3) 2019: 164-172 - [c6]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: 860-868 - [i4]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 abs/1901.03517 (2019) - [i3]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 abs/1901.03553 (2019) - [i2]Daniele Ravì, Daniel C. Alexander, Neil P. Oxtoby:
Degenerative Adversarial NeuroImage Nets: Generating Images that Mimic Disease Progression. CoRR abs/1907.02787 (2019) - [i1]Daniele Ravì, Stefano B. Blumberg, Daniel C. Alexander, Neil P. Oxtoby:
Degenerative Adversarial NeuroImage Nets for 3D Simulations: Application in Longitudinal MRI. CoRR abs/1912.01526 (2019) - 2017
- [c5]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: 134-145 - 2015
- [j1]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): 47-56 (2015) - [c4]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: 711-722 - 2014
- [c3]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: 85-94 - 2013
- [c2]Matthew C. Rowe, Hui Gary Zhang, Neil Oxtoby, Daniel C. Alexander:
Beyond Crossing Fibers: Tractography Exploiting Sub-voxel Fibre Dispersion and Neighbourhood Structure. IPMI 2013: 402-413 - 2011
- [c1]Neil Oxtoby, Jason F. Ralph, Céline Durniak, Dmitry Samsonov:
Myriad target tracking in a dusty plasma. FUSION 2011: 1-6
Coauthor Index
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