Showing 1 - 12 results of 12 for search 'Dinsdale, NK', query time: 0.02s
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1
Optimising convolutional neural networks for large-scale neuroimaging studies by Dinsdale, NK
Published 2021Thesis -
2
Unlearning scanner bias for MRI harmonisation in medical image segmentation by Dinsdale, NK, Jenkinson, M, Namburete, AIL
Published 2020Conference item -
3
SFHarmony: source free domain adaptation for distributed neuroimaging analysis by Dinsdale, NK, Jenkinson, M, Namburete, AIL
Published 2024Conference item -
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STAMP: Simultaneous Training and Model Pruning for low data regimes in medical image segmentation by Dinsdale, NK, Jenkinson, M, Namburete, AIL
Published 2022Journal article -
5
Prototype learning for explainable brain age prediction by Hesse, LS, Dinsdale, NK, Namburete, AIL
Published 2024Conference item -
6
Unlearning scanner bias for MRI harmonisation by Dinsdale, NK, Jenkinson, M, Namburete, AIL
Published 2020Conference item -
7
Deep learning-based unlearning of dataset bias for MRI harmonisation and confound removal. by Dinsdale, NK, Jenkinson, M, Namburete, AIL
Published 2020Journal article -
8
Omni-supervised domain adversarial training for white matter hyperintensity segmentation in the UK Biobank by Sundaresan, V, Dinsdale, NK, Jenkinson, M, Griffanti, L
Published 2022Conference item -
9
TEDS-Net: enforcing diffeomorphisms in spatial transformers to guarantee topology preservation in segmentations by Wyburd, MK, Jenkinson, M, Dinsdale, NK, Namburete, AIL
Published 2021Conference item -
10
Challenges for machine learning in clinical translation of big data imaging studies by Dinsdale, NK, Bluemke, E, Sundaresan, V, Jenkinson, M, Smith, SM, Namburete, AIL
Published 2022Journal article -
11
Comparison of domain adaptation techniques for white matter hyperintensity segmentation in brain MR images by Sundaresan, V, Zamboni, G, Dinsdale, NK, Rothwell, PM, Griffanti, L, Jenkinson, M
Published 2021Journal article -
12
Learning patterns of the ageing brain in MRI using deep convolutional networks by Dinsdale, NK, Bluemke, E, Smith, SM, Arya, Z, Vidaurre, D, Jenkinson, M, Namburete, AIL
Published 2020Journal article