Nicola K. Dinsdale

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 20

Top Topics

Topology Preservation

Top Venues

Medical Image Anal.

Publications

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 (2024)
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 (2024)
Linde S. Hesse, Nicola K. Dinsdale, Ana I. L. Namburete
Prototype Learning for Explainable Brain Age Prediction. WACV (2024)
Nicola K. Dinsdale, Mark Jenkinson, Ana I. L. Namburete
SFHarmony: Source Free Domain Adaptation for Distributed Neuroimaging Analysis. ICCV (2023)
Nicola K. Dinsdale, Mark Jenkinson, Ana I. L. Namburete
SFHarmony: Source Free Domain Adaptation for Distributed Neuroimaging Analysis. CoRR (2023)
Linde S. Hesse, Nicola K. Dinsdale, Ana I. L. Namburete
Prototype Learning for Explainable Regression. CoRR (2023)
Nicola K. Dinsdale, Mark Jenkinson, Ana I. L. Namburete
FedHarmony: Unlearning Scanner Bias with Distributed Data. MICCAI (8) (2022)
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 (2022)
Nicola K. Dinsdale, Mark Jenkinson, Ana I. L. Namburete
FedHarmony: Unlearning Scanner Bias with Distributed Data. CoRR (2022)
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)
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 (2021)
Nicola K. Dinsdale, Mark Jenkinson, Ana I. L. Namburete
Deep learning-based unlearning of dataset bias for MRI harmonisation and confound removal. NeuroImage 228 (2021)
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 (2021)
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 (2021)
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)
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 (2021)
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)
Nicola K. Dinsdale, Mark Jenkinson, Ana I. L. Namburete
Unlearning Scanner Bias for MRI Harmonisation in Medical Image Segmentation. MIUA (2020)
Nicola K. Dinsdale, Mark Jenkinson, Ana I. L. Namburete
Unlearning Scanner Bias for MRI Harmonisation. MICCAI (2) (2020)
Nicola K. Dinsdale, Mark Jenkinson, Ana I. L. Namburete
Spatial Warping Network for 3D Segmentation of the Hippocampus in MR Images. MICCAI (3) (2019)