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Neil P. Oxtoby

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for the Alzheimer's Disease Neuroimaging Initiative

Expectation Maximization Pseudo Labelling for Segmentation with Limited Annotations

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May 02, 2023
Mou-Cheng Xu, Yukun Zhou, Chen Jin, Marius de Groot, Daniel C. Alexander, Neil P. Oxtoby, Yipeng Hu, Joseph Jacob

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Data-Driven Disease Progression Modelling

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Nov 01, 2022
Neil P. Oxtoby

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

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Aug 08, 2022
Mou-Cheng Xu, Yukun Zhou, Chen Jin, Marius de Groot, Daniel C. Alexander, Neil P. Oxtoby, Yipeng Hu, Joseph Jacob

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Learning Morphological Feature Perturbations for Calibrated Semi-Supervised Segmentation

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Apr 01, 2022
Mou-Cheng Xu, Yu-Kun Zhou, Chen Jin, Stefano B Blumberg, Frederick J Wilson, Marius deGroot, Daniel C. Alexander, Neil P. Oxtoby, Joseph Jacob

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Ten years of image analysis and machine learning competitions in dementia

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Dec 15, 2021
Esther E. Bron, Stefan Klein, Annika Reinke, Janne M. Papma, Lena Maier-Hein, Daniel C. Alexander, Neil P. Oxtoby

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

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Oct 23, 2021
Mou-Cheng Xu, Yu-Kun Zhou, Chen Jin, Stefano B. Blumberg, Frederick J. Wilson, Marius De Groot, Neil P. Oxtoby, Daniel C. Alexander, Joseph Jacob

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Learning To Pay Attention To Mistakes

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Aug 07, 2020
Mou-Cheng Xu, Neil P. Oxtoby, Daniel C. Alexander, Joseph Jacob

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

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Dec 03, 2019
Daniele Ravi, Stefano B. Blumberg, Daniel C. Alexander, Neil P. Oxtoby

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Degenerative Adversarial NeuroImage Nets: Generating Images that Mimic Disease Progression

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Jul 05, 2019
Daniele Ravi, Daniel C. Alexander, Neil P. Oxtoby

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

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Jan 11, 2019
Razvan V. Marinescu, Arman Eshaghi, Marco Lorenzi, Alexandra L. Young, Neil P. Oxtoby, Sara Garbarino, Sebastian J. Crutch, Daniel C. Alexander

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