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ORCIDNicola K. Dinsdale
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2020 – today
- 2024
[j5]Madeleine K. Wyburd
, Nicola K. Dinsdale, Mark Jenkinson, Ana I. L. Namburete:
Anatomically plausible segmentations: Explicitly preserving topology through prior deformations. Medical Image Anal. 97: 103222 (2024)- [c10]Jayroop Ramesh, Nicola K. Dinsdale, Pak-Hei Yeung, Ana I. L. Namburete:
Geometric Transformation Uncertainty for Improving 3D Fetal Brain Pose Prediction from Freehand 2D Ultrasound Videos. MICCAI (1) 2024: 419-429 - [c9]Linde S. Hesse, Nicola K. Dinsdale, Ana I. L. Namburete:
Prototype Learning for Explainable Brain Age Prediction. WACV 2024: 7888-7898 - [i7]Jayroop Ramesh, Nicola K. Dinsdale, INTERGROWTH-21 Consortium, Pak-Hei Yeung, Ana I. L. Namburete:
Geometric Transformation Uncertainty for Improving 3D Fetal Brain Pose Prediction from Freehand 2D Ultrasound Videos. CoRR abs/2405.13235 (2024) - [i6]Vaanathi Sundaresan, Nicola K. Dinsdale:
Automated quality assessment using appearance-based simulations and hippocampus segmentation on low-field paediatric brain MR images. CoRR abs/2410.06161 (2024) - 2023
- [c8]Nicola K. Dinsdale, Mark Jenkinson, Ana I. L. Namburete:
SFHarmony: Source Free Domain Adaptation for Distributed Neuroimaging Analysis. ICCV 2023: 11460-11471 - [i5]Nicola K. Dinsdale, Mark Jenkinson, Ana I. L. Namburete:
SFHarmony: Source Free Domain Adaptation for Distributed Neuroimaging Analysis. CoRR abs/2303.15965 (2023) - [i4]Linde S. Hesse, Nicola K. Dinsdale, Ana I. L. Namburete:
Prototype Learning for Explainable Regression. CoRR abs/2306.09858 (2023) - 2022
- [j4]Nicola K. Dinsdale, Mark Jenkinson, Ana I. L. Namburete:
STAMP: Simultaneous Training and Model Pruning for low data regimes in medical image segmentation. Medical Image Anal. 81: 102583 (2022) - [c7]Vaanathi Sundaresan, Nicola K. Dinsdale, Mark Jenkinson, Ludovica Griffanti:
Omni-Supervised Domain Adversarial Training for White Matter Hyperintensity Segmentation in the UK Biobank. ISBI 2022: 1-4 - [c6]Nicola K. Dinsdale, Mark Jenkinson, Ana I. L. Namburete:
FedHarmony: Unlearning Scanner Bias with Distributed Data. MICCAI (8) 2022: 695-704 - [i3]Nicola K. Dinsdale, Mark Jenkinson, Ana I. L. Namburete:
FedHarmony: Unlearning Scanner Bias with Distributed Data. CoRR abs/2205.15970 (2022) - 2021
- [j3]Vaanathi Sundaresan, Giovanna Zamboni, Nicola K. Dinsdale, Peter M. Rothwell, Ludovica Griffanti, Mark Jenkinson:
Comparison of domain adaptation techniques for white matter hyperintensity segmentation in brain MR images. Medical Image Anal. 74: 102215 (2021) - [j2]Nicola K. Dinsdale, Emma Bluemke, Stephen M. Smith, Zobair Arya, Diego Vidaurre, Mark Jenkinson, Ana I. L. Namburete:
Learning patterns of the ageing brain in MRI using deep convolutional networks. NeuroImage 224: 117401 (2021) - [j1]Nicola K. Dinsdale, Mark Jenkinson, Ana I. L. Namburete:
Deep learning-based unlearning of dataset bias for MRI harmonisation and confound removal. NeuroImage 228: 117689 (2021) - [c5]Madeleine K. Wyburd, Nicola K. Dinsdale, Ana I. L. Namburete, Mark Jenkinson:
TEDS-Net: Enforcing Diffeomorphisms in Spatial Transformers to Guarantee Topology Preservation in Segmentations. MICCAI (1) 2021: 250-260 - [i2]Nicola K. Dinsdale, Emma Bluemke, Vaanathi Sundaresan, Mark Jenkinson, Stephen M. Smith, Ana I. L. Namburete:
Challenges for machine learning in clinical translation of big data imaging studies. CoRR abs/2107.05630 (2021) - [i1]Madeleine K. Wyburd, Nicola K. Dinsdale, Ana I. L. Namburete, Mark Jenkinson:
TEDS-Net: Enforcing Diffeomorphisms in Spatial Transformers to Guarantee Topology Preservation in Segmentations. CoRR abs/2107.13542 (2021) - 2020
- [c4]Jorge Corral Acero, Vaanathi Sundaresan, Nicola K. Dinsdale, Vicente Grau, Mark Jenkinson:
A 2-Step Deep Learning Method with Domain Adaptation for Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Magnetic Resonance Segmentation. M&Ms and EMIDEC/STACOM@MICCAI 2020: 196-207 - [c3]Nicola K. Dinsdale, Mark Jenkinson, Ana I. L. Namburete:
Unlearning Scanner Bias for MRI Harmonisation. MICCAI (2) 2020: 369-378 - [c2]Nicola K. Dinsdale, Mark Jenkinson, Ana I. L. Namburete:
Unlearning Scanner Bias for MRI Harmonisation in Medical Image Segmentation. MIUA 2020: 15-25
2010 – 2019
- 2019
- [c1]Nicola K. Dinsdale, Mark Jenkinson, Ana I. L. Namburete:
Spatial Warping Network for 3D Segmentation of the Hippocampus in MR Images. MICCAI (3) 2019: 284-291
Coauthor Index
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