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Nicola K Dinsdale
Nicola K Dinsdale
Verified email at cs.ox.ac.uk - Homepage
Title
Cited by
Cited by
Year
Deep learning-based unlearning of dataset bias for MRI harmonisation and confound removal
NK Dinsdale, M Jenkinson, AIL Namburete
NeuroImage 228, 117689, 2021
1192021
Learning patterns of the ageing brain in MRI using deep convolutional networks
NK Dinsdale, E Bluemke, SM Smith, Z Arya, D Vidaurre, M Jenkinson, ...
NeuroImage 224, 117401, 2021
1012021
Challenges for machine learning in clinical translation of big data imaging studies
NK Dinsdale, E Bluemke, V Sundaresan, M Jenkinson, SM Smith, ...
Neuron 110 (23), 3866-3881, 2022
252022
Unlearning scanner bias for MRI harmonisation in medical image segmentation
NK Dinsdale, M Jenkinson, AIL Namburete
Medical Image Understanding and Analysis: 24th Annual Conference, MIUA 2020 …, 2020
222020
Spatial warping network for 3D segmentation of the hippocampus in MR images
NK Dinsdale, M Jenkinson, AIL Namburete
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
222019
TEDS-Net: enforcing diffeomorphisms in spatial transformers to guarantee topology preservation in segmentations
MK Wyburd, NK Dinsdale, AIL Namburete, M Jenkinson
International Conference on Medical Image Computing and Computer-Assisted …, 2021
212021
A 2-step deep learning method with domain adaptation for multi-centre, multi-vendor and multi-disease cardiac magnetic resonance segmentation
J Corral Acero, V Sundaresan, N Dinsdale, V Grau, M Jenkinson
Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC …, 2021
182021
Fedharmony: Unlearning scanner bias with distributed data
NK Dinsdale, M Jenkinson, AIL Namburete
International Conference on Medical Image Computing and Computer-Assisted …, 2022
122022
Deep learning-based unlearning of dataset bias for MRI harmonisation and confound removal. NeuroImage, 228, Article 117689
NK Dinsdale, M Jenkinson, AIL Namburete
112020
The impact of transfer learning on 3D deep learning convolutional neural network segmentation of the hippocampus in mild cognitive impairment and Alzheimer disease subjects
E Balboni, L Nocetti, C Carbone, N Dinsdale, M Genovese, G Guidi, ...
Human Brain Mapping 43 (11), 3427-3438, 2022
102022
Learning patterns of the ageing brain in MRI using deep convolutional networks. NeuroImage, 224, Article 117401
NK Dinsdale, E Bluemke, SM Smith, Z Arya, D Vidaurre, M Jenkinson, ...
102020
Stamp: simultaneous training and model pruning for low data regimes in medical image segmentation
NK Dinsdale, M Jenkinson, AIL Namburete
Medical Image Analysis 81, 102583, 2022
92022
Comparison of domain adaptation techniques for white matter hyperintensity segmentation in brain MR images
V Sundaresan, G Zamboni, NK Dinsdale, PM Rothwell, L Griffanti, ...
Medical Image Analysis 74, 102215, 2021
92021
Sfharmony: Source free domain adaptation for distributed neuroimaging analysis
NK Dinsdale, M Jenkinson, AIL Namburete
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
32023
Prototype learning for explainable brain age prediction
LS Hesse, NK Dinsdale, AIL Namburete
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024
12024
Omni-supervised domain adversarial training for white matter hyperintensity segmentation in the uk biobank
V Sundaresan, NK Dinsdale, M Jenkinson, L Griffanti
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-4, 2022
12022
Optimising convolutional neural networks for large-scale neuroimaging studies
NK Dinsdale
University of Oxford, 2021
12021
UniFed: A unified deep learning framework for segmentation of partially labelled, distributed neuroimaging data
NK Dinsdale, M Jenkinson, AIL Namburete
bioRxiv, 2024.02. 05.578912, 2024
2024
Characterizing personalized neuropathology in dementia and mild cognitive impairment with explainable artificial intelligence
EH Leonardsen, K Persson, E Grødem, N Dinsdale, T Schellhorn, JM Roe, ...
2023
Model Pruning for Generalisability Across MRI Imaging Sites
NK Dinsdale, M Jenkinson, AIL Namburete
ISMRM, 2022
2022
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