Anatomical Landmark Detection

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Most implemented papers archive 2025-07-28

13 shown of 13 papers with code (29 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• CABLD: Contrast-Agnostic Brain Landmark Detection with Consistency-Based Regularization
  26 Nov 2024 2 repositories listed
  Anatomical landmark detection in medical images is essential for various clinical and research applications, including disease diagnosis and surgical planning.
• You Only Learn Once: Universal Anatomical Landmark Detection
  8 Mar 2021 2 repositories listed
  However, all of those methods are unary in the sense that a highly specialized network is trained for a single task say associated with a particular anatomical region.
• Inverse-Consistent Deep Networks for Unsupervised Deformable Image Registration
  10 Sep 2018 2 repositories listed
  Deformable image registration is a fundamental task in medical image analysis, aiming to establish a dense and non-linear correspondence between a pair of images.
• X-ray-transform Invariant Anatomical Landmark Detection for Pelvic Trauma Surgery
  22 Mar 2018 2 repositories listed
  In this work, we present a method to automatically detect anatomical landmarks in X-ray images independent of the viewing direction.
• DeepDRR -- A Catalyst for Machine Learning in Fluoroscopy-guided Procedures
  22 Mar 2018 2 repositories listed
  Machine learning-based approaches outperform competing methods in most disciplines relevant to diagnostic radiology.
• HYATT-Net is Grand: A Hybrid Attention Network for Performant Anatomical Landmark Detection
  9 Dec 2024 1 repository listed
  Anatomical landmark detection (ALD) from a medical image is crucial for a wide array of clinical applications.
• Mammographic Breast Positioning Assessment via Deep Learning
  15 Jul 2024 1 repository listed
  Breast cancer remains a leading cause of cancer-related deaths among women worldwide, with mammography screening as the most effective method for the early detection.
• FM-OSD: Foundation Model-Enabled One-Shot Detection of Anatomical Landmarks
  7 Jul 2024 1 repository listed
  By using solely a single template image, our method demonstrates significant superiority over strong state-of-the-art one-shot landmark detection methods.
• Unsupervised Domain Adaptation for Anatomical Landmark Detection
  25 Aug 2023 1 repository listed
  The framework leverages self-training and domain adversarial learning to address the domain gap during adaptation.
• Point detection through multi-instance deep heatmap regression for sutures in endoscopy
  16 Nov 2021 1 repository listed
  Method: In this work, we formulate the suture detection task as a multi-instance deep heatmap regression problem, to identify entry and exit points of sutures.
• Feature Aggregation and Refinement Network for 2D AnatomicalLandmark Detection
  1 Nov 2021 1 repository listed
  In this paper, we propose a novel deep network, named feature aggregation and refinement network (FARNet), for the automatic detection of anatomical landmarks.
• Volumetric landmark detection with a multi-scale translation equivariant neural network
  3 Apr 2020 1 repository listed
  Deep neural networks yield promising results in a wide range of computer vision applications, including landmark detection.
• Volumetric landmark detection with a multi-scale shift equivariant neural network
  3 Mar 2020 1 repository listed
  Deep neural networks yield promising results in a wide range of computer vision applications, including landmark detection.