Skip to main content

Julian Wyatt : Publications

Click here to download all publications in a single bibtex file

@inproceedings{patel2025handful,
  title = "A Handful of Data: Evaluating Few--Shot Incremental Landmark Detection",
  author = "Nikil Patel and Allison Clement and Julian Wyatt and Roberto Di Via and Davide Marinelli and Massimiliano Ciranni and Vito Paolo Pastore and Irina Voiculescu",
  year = "2025",
  booktitle = "Proceedings of the International Conference on Image Analysis and Processing (ICIAP)",
  publisher = "Springer",
  series = "Lecture Notes in Computer Science",
  url = "https://ora.ox.ac.uk/objects/uuid:274baa45-1f1a-46f8-9c75-a4a61acbce7b",
}
@conference{miccai-wyatt-voiculescu,
  title = "Optimising for the Unknown: Domain Alignment for Cephalometric Landmark Detection",
  author = "Julian Wyatt and Irina Voiculescu",
  year = "2024",
  month = "October",
  publisher = "Winner of the Landmark Detection Challenge at the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)",
  url = "https://arxiv.org/pdf/2410.04445",
}
@article{wyatt2022anoddpm,
  title = "Anoddpm: Anomaly detection with denoising diffusion probabilistic models using simplex noise",
  author = "Wyatt, Julian and Leach, Adam and Schmon, Sebastian M and Willcocks, Chris G",
  year = "2022",
  affiliation = "Durham University",
  booktitle = "Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition",
  pages = "650--656",
  url = "https://openaccess.thecvf.com/content/CVPR2022W/NTIRE/html/Wyatt_AnoDDPM_Anomaly_Detection_With_Denoising_Diffusion_Probabilistic_Models_Using_Simplex_CVPRW_2022_paper.html",
}