- ORCID iD
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0009-0001-4602-5735
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- Journal Article
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- open access
Combining deep learning with statistical shape modelling enables automated lower limb measurements with observer-level reliability using weight-bearing computed tomography
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- Journal Article
- A1
- open access
From skin to skeleton : a statistical shape modelling approach for predicting hand and foot bony geometry
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Automating 3D orthopaedic measurements using weightbearing CT imaging
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- Journal Article
- A2
- open access
Impact of weightbearing on progressive collapsing foot deformity shape : a geometric morphometric analysis
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- Journal Article
- A1
- open access
Quantifying 3D foot and ankle alignment using an AI-driven framework : a pilot study
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- Conference Paper
- C3
- open access
Development and validation of fully automated measurement framework to quantify 3D foot and ankle alignment using weight-bearing CT
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Development and validation of a fully automated tool to quantify 3D foot and ankle alignment using weight-bearing CT
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- Journal Article
- A1
- open access
Sample size effect on musculoskeletal segmentation : how low can we go?