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Disambiguation of "Dinsdale, Nicola K."

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FedHarmony: Unlearning Scanner Bias with Distributed Data.

, , and . MICCAI (8), volume 13438 of Lecture Notes in Computer Science, page 695-704. Springer, (2022)

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Thomas Dinsdale-Young

Aman K K Bhasin

K Bente

K Böning

K Püschel

 

Other publications of authors with the same name

SFHarmony: Source Free Domain Adaptation for Distributed Neuroimaging Analysis., , and . ICCV, page 11460-11471. IEEE, (2023)STAMP: Simultaneous Training and Model Pruning for low data regimes in medical image segmentation., , and . Medical Image Anal., (2022)Omni-Supervised Domain Adversarial Training for White Matter Hyperintensity Segmentation in the UK Biobank., , , and . ISBI, page 1-4. IEEE, (2022)Deep learning-based unlearning of dataset bias for MRI harmonisation and confound removal., , and . NeuroImage, (2021)Unlearning Scanner Bias for MRI Harmonisation in Medical Image Segmentation., , and . MIUA, volume 1248 of Communications in Computer and Information Science, page 15-25. Springer, (2020)A 2-Step Deep Learning Method with Domain Adaptation for Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Magnetic Resonance Segmentation., , , , and . M&Ms and EMIDEC/STACOM@MICCAI, volume 12592 of Lecture Notes in Computer Science, page 196-207. Springer, (2020)FedHarmony: Unlearning Scanner Bias with Distributed Data., , and . MICCAI (8), volume 13438 of Lecture Notes in Computer Science, page 695-704. Springer, (2022)TEDS-Net: Enforcing Diffeomorphisms in Spatial Transformers to Guarantee Topology Preservation in Segmentations., , , and . MICCAI (1), volume 12901 of Lecture Notes in Computer Science, page 250-260. Springer, (2021)Prototype Learning for Explainable Brain Age Prediction., , and . WACV, page 7888-7898. IEEE, (2024)Comparison of domain adaptation techniques for white matter hyperintensity segmentation in brain MR images., , , , , and . Medical Image Anal., (2021)