mlsanityData to 7 Oct 2026

Exploiting Structural Consistency of Chest Anatomy for Unsupervised Anomaly Detection in Radiography Images

arXiv 2403.08689 ↗First posted 13 Mar 2024eess.IV cs.CVcited by 13

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Abstract (arXiv)

Radiography imaging protocols focus on particular body regions, therefore producing images of great similarity and yielding recurrent anatomical structures across patients. Exploiting this structured information could potentially ease the detection of anomalies from radiography images. To this end, we propose a Simple Space-Aware Memory Matrix for In-painting and Detecting anomalies from radiography images (abbreviated as SimSID). We formulate anomaly detection as an image reconstruction task, consisting of a space-aware memory matrix and an in-painting block in the feature space. During the training, SimSID can taxonomize the ingrained anatomical structures into recurrent visual patterns, and in the inference, it can identify anomalies (unseen/modified visual patterns) from the test image. Our SimSID surpasses the state of the arts in unsupervised anomaly detection by +8.0%, +5.0%, and +9.9% AUC scores on ZhangLab, COVIDx, and CheXpert benchmark datasets, respectively. Code: https://github.com/MrGiovanni/SimSID

Key facts. Cited by 13 papers in the map (data through 7 Oct 2026). Builds on 80 of its 120 references that are in the map. First posted on arXiv 13 Mar 2024.

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80 of 120 references.

References · 80

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Citing papers per year: 2024: 1; 2025: 6; 2026: 6.

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  1. 2024AbdomenAtlas: A Large-Scale, Detailed-Annotated, & Multi-Center Dataset for Efficient Transfer Learning and Open Algorithmic Benchmarkingcited by 64
  2. 2025Scaling Tumor Segmentation: Best Lessons from Real and Synthetic Datacited by 13
  3. 2026From Few-Shot to Zero-Shot: Towards Generalist Graph Anomaly Detectioncited by 8
  4. 2025One-to-Normal: Anomaly Personalization for Few-shot Anomaly Detectioncited by 7
  5. 2025Dinomaly2: A Unified Framework for Unsupervised Image Anomaly Detectioncited by 6
  6. 2025CoPS: Conditional Prompt Synthesis for Zero-Shot Anomaly Detectioncited by 1
  7. 2025ART-ASyn: Anatomy-aware Realistic Texture-based Anomaly Synthesis Framework for Chest X-Rayscited by 1
  8. 2025SP-Mamba: Spatial-Perception State Space Model for Unsupervised Medical Anomaly Detectioncited by 0
  9. 2026PDD: Manifold-Prior Diverse Distillation for Medical Anomaly Detectioncited by 0
  10. 2026Catching Every Ripple: Enhanced Anomaly Awareness via Dynamic Concept Adaptationcited by 0
  11. 2026Beyond Masks: The Case for Medical Image Parsingcited by 0
  12. 2026AUCp: Pseudo-AUC for Inference Model Selection with Unlabeled Validation Data in Abnormality Detectioncited by 0
1 more
  1. 2026XMatchAD: A Cross-Modal Matching Perspective on Reconstruction-based Anomaly Detectioncited by 0