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nkdinsdale/README.md

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Nicola K Dinsdale

I am currently working as a post-doctoral research associate in the Oxford Machine Learning in NeuroImaging Lab (OMNI), working with Dr. Ana Namburete, in the Department of Computer Science. I studied for my DPhil (PhD) in the Analysis Group at the Wellcome Centre for Integrative Neuroimaging at the University of Oxford, where I researched deep learning based approaches for neuroimaging analysis, supervised by Prof. Mark Jenkinson and Dr. Ana Namburete, funded by the UKRI EPRSC/MRC as part of the ONBI DTC.

My research uses computer vision and deep learning to solve medical imaging problems. I am especially interested in exploring methods to overcome the barriers to clinical translatability of deep learning methods and robust deep learning, and I am open to collabortion opportunities.

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  1. Unlearning_for_MRI_harmonisation Unlearning_for_MRI_harmonisation Public

    Code for implementation of Unlearning Scanner Bias for MRI Harmonisation

    Python 26 10

  2. LearningPatternsofAgeing LearningPatternsofAgeing Public

    HTML 2 2

  3. FedHarmony FedHarmony Public

    Code implementation for FedHarmony (MICCAI 2022)

    Python 6 2

  4. STAMP STAMP Public

    Code for implementation of TrainPrune

    Python 3 1

  5. SWANS SWANS Public

    Code implementation for Spatial warping network for 3D segmentation of the hippocampus in MR images

    Python 2

  6. SFHarmony SFHarmony Public

    Source code for SFHarmony

    Jupyter Notebook 7 2