My name is Harry Anthony and I am a DPhil student at the University of Oxford. As part of the IBME group, my research focuses on improving the reliability of deep neural networks in the field of medical imaging, with a particular emphasis on Out-of-distribution (OOD) detection. OOD detection is critical for ensuring the accuracy and safety of neural networks for medical imaging analysis, as it helps to identify when input data differs from its training data. Through my research, I aim to develop novel methods for deep learning algorithms to detect OOD inputs and improve the overall performance of medical imaging analysis.
I am an Engineering Science DPhil student at Oxford University. My research focuses on improving the reliability of Neural Networks for medical imaging.
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Oxford University
- Oxford
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09:07
(UTC) - http://www.harryanthony.co.uk/
- https://orcid.org/0009-0004-1252-7448
Highlights
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Mahalanobis-OOD-detection
Mahalanobis-OOD-detection PublicA framework for studying the best practises for Mahalanobis distance for OOD detection
Python 19
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JieSing/AstronomicalImageProcessing
JieSing/AstronomicalImageProcessing PublicA1 Imperial: Astronomical Image Processing
Python
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