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Neil P. Oxtoby

for the Alzheimer's Disease Neuroimaging Initiative

Expectation Maximization Pseudo Labelling for Segmentation with Limited Annotations

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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* An extension of MICCAI 2022 Young Scientist Award finalist paper titled as Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-Supervised Segmentation

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Data-Driven Disease Progression Modelling

Nov 01, 2022
Neil P. Oxtoby

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* 24 pages, 8 figures. Chapter to appear in: O. Colliot (Ed.), Machine Learning for Brain Disorders, Springer

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

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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* MICCAI 2022 (Early accept, Student Travel Award)

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Learning Morphological Feature Perturbations for Calibrated Semi-Supervised Segmentation

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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* To appear at Conference on Medical Imaging with Deep Learning (MIDL) 2022. arXiv admin note: text overlap with arXiv:2110.12179

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Learning To Pay Attention To Mistakes

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

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* Accepted at BMVC 2020

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Degenerative Adversarial NeuroImage Nets: Generating Images that Mimic Disease Progression

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

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* Paper accepted for MICCAI 2019

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