Julian Wyatt : Publications
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[1]
Are X−ray landmark detection models fair? A preliminary assessment and mitigation strategy
Roberto Di Via‚ Massimiliano Ciranni‚ Davide Marinelli‚ Allison Clement‚ Nikil Patel‚ Julian Wyatt‚ Francesca Odone‚ Matteo Santacesaria‚ Irina Voiculescu and Vito Pastore
In International Conference on Computer Vision (ICCV). Systematic Trust in AI Models (STREAM) Workshop. October, 2025.
Details about Are X−ray landmark detection models fair? A preliminary assessment and mitigation strategy | BibTeX data for Are X−ray landmark detection models fair? A preliminary assessment and mitigation strategy | Link to Are X−ray landmark detection models fair? A preliminary assessment and mitigation strategy
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[2]
A Handful of Data: Evaluating Few–Shot Incremental Landmark Detection
Nikil Patel‚ Allison Clement‚ Julian Wyatt‚ Roberto Di Via‚ Davide Marinelli‚ Massimiliano Ciranni‚ Vito Paolo Pastore and Irina Voiculescu
In Proceedings of the International Conference on Image Analysis and Processing (ICIAP). Springer. 2025.
Details about A Handful of Data: Evaluating Few–Shot Incremental Landmark Detection | BibTeX data for A Handful of Data: Evaluating Few–Shot Incremental Landmark Detection | Link to A Handful of Data: Evaluating Few–Shot Incremental Landmark Detection
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[3]
Optimising for the Unknown: Domain Alignment for Cephalometric Landmark Detection
Julian Wyatt and Irina Voiculescu
Winner of the Landmark Detection Challenge at the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI). October, 2024.
Details about Optimising for the Unknown: Domain Alignment for Cephalometric Landmark Detection | BibTeX data for Optimising for the Unknown: Domain Alignment for Cephalometric Landmark Detection | Link to Optimising for the Unknown: Domain Alignment for Cephalometric Landmark Detection
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[4]
Anoddpm: Anomaly detection with denoising diffusion probabilistic models using simplex noise
Julian Wyatt‚ Adam Leach‚ Sebastian M Schmon and Chris G Willcocks
Pages 650–656. 2022.
Details about Anoddpm: Anomaly detection with denoising diffusion probabilistic models using simplex noise | BibTeX data for Anoddpm: Anomaly detection with denoising diffusion probabilistic models using simplex noise | Link to Anoddpm: Anomaly detection with denoising diffusion probabilistic models using simplex noise