Julian Wyatt

Julian Wyatt

Doctoral Student

Student, St Anne's College

E: julian.wyatt@cs.ox.ac.uk

See Also:

• Personal Page

Interests

I'm a first year DPhil student in Computer Science, working in the OxMedIS research group.

I previously completed an integrated Masters in Computer Science at Durham, where I researched the efficacy of diffusion models for anomaly detection as my final major project. 

My research interests are:

• 2D and 3D Segmentation of Medical Images
• Anomaly detection
• Generative Models
• Multimodal deep learning
• Uncertainty analysis

Selected Publications

View AllManage publications

• 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

• 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

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