mlsanityData to 7 Oct 2026

Optimising for the Unknown: Domain Alignment for Cephalometric Landmark Detection

arXiv 2410.04445 ↗First posted 6 Oct 2024cs.CVcited by 1

Not on the map. Why?

Abstract (arXiv)

Cephalometric Landmark Detection is the process of identifying key areas for cephalometry. Each landmark is a single GT point labelled by a clinician. A machine learning model predicts the probability locus of a landmark represented by a heatmap. This work, for the 2024 CL-Detection MICCAI Challenge, proposes a domain alignment strategy with a regional facial extraction module and an X-ray artefact augmentation procedure. The challenge ranks our method's results as the best in MRE of 1.186mm and third in the 2mm SDR of 82.04% on the online validation leaderboard. The code is available at https://github.com/Julian-Wyatt/OptimisingfortheUnknown.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 13 of its 23 references that are in the map. First posted on arXiv 6 Oct 2024.

Builds on

13 of 23 references.

References · 13

  1. 2015Deep Residual Learning for Image Recognitioncited by 51,809
  2. 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,604
  3. 2015Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networkscited by 9,617
  4. 2016Feature Pyramid Networks for Object Detectioncited by 5,021
  5. 2021SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformerscited by 2,923
  6. 2016Deep Networks with Stochastic Depthcited by 973
  7. 2023ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoderscited by 703
  8. 2021Codabench: Flexible, Easy-to-Use and Reproducible Benchmarking Platformcited by 65
  9. 2018Facial Landmark Detection: a Literature Surveycited by 63
  10. 2019Cephalometric Landmark Detection by AttentiveFeature Pyramid Fusion and Regression-Votingcited by 32
  11. 2019An Attention-Guided Deep Regression Model for Landmark Detection in Cephalogramscited by 27
  12. 2021Feature Aggregation and Refinement Network for 2D AnatomicalLandmark Detectioncited by 4
1 more
  1. 2023Uncertainty-aware U-Net for Medical Landmark Detectioncited by 2

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 1.

1 paper.

  1. 2026CDPM-Align: Multi-Scale Guidance-Aligned Diffusion Pretraining for Robust Few-Shot Anatomical Landmark Detectioncited by 0