Causality Matters in Medical Imaging

Causality Matters in Medical Imaging

Institute for Pure & Applied Mathematics (IPAM) via YouTube Direct link

Example: Radiology Reports

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7 of 21

Example: Radiology Reports

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Classroom Contents

Causality Matters in Medical Imaging

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  1. 1 Intro
  2. 2 Predictive Modelling
  3. 3 Challenges: Data Scarcity & Mismatch
  4. 4 A Causal Perspective
  5. 5 Example: Skin Lesion Classification
  6. 6 Example: Brain Tumour Segmentation
  7. 7 Example: Radiology Reports
  8. 8 Semi-supervised learning
  9. 9 Data Augmentation
  10. 10 Dataset Shift
  11. 11 Acquisition Shift A Little Experiment
  12. 12 Acquisition Shift: A Little Experiment
  13. 13 Domain Adaptation
  14. 14 Domain Generalisation
  15. 15 PACS Benchmark
  16. 16 Episodic Training
  17. 17 Global Class Alignment
  18. 18 Local Sample Clustering
  19. 19 Back to Causality
  20. 20 Guidelines and Regulation
  21. 21 Recommendations

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