Skip to content
#

disentangled-representation-learning

Star

Here are 3 public repositories matching this topic...

Language: All
Filter by language
All 3 Jupyter Notebook 2 Python 1

adilrasheed139 / Disentangled-Representation-Learning-for-Domain-Adaptation-in-Medical-Image-Segmentation

Star 1

Investigating DRL DCVAE} for mitigating 15% domain shift in cardiac MRI segmentation. Conclusively proves the Information Bottleneck trade-off: 0.02 generalization gap vs. 0.25 DSC performance. Structural limits of DRL identified for high-detail medical tasks.

python reproducible-research jupyter-notebook pytorch representation-learning variational-autoencoder domain-adaptation information-bottleneck feature-disentanglement adversarial-training domain-generalization conditional-variational-autoencoder generalization-gap medical-imaging-segmentation cardiovascular-imaging disentangled-representation-learning cardiac-mri-segmentation multi-vendor-data deep-learning-in-medicine content-utility-tradeoff
  • Updated Dec 20, 2025
  • Jupyter Notebook

adilrasheed139 / Fairness-Auditing-and-Mitigation-in-Dermoscopic-AI-From-Data-Equity-to-Spurious-Localization-Bias

Star 0

Fairness Auditing in Dermoscopic AI: Quantified a 55% FNR disparity based on Anatomical Localization (Spurious Bias Audit). Focus on Disentangled Representation learning for Equitable AI.

computer-vision deep-learning deep-learning-framework medical-image-analysis bias-detection algorithmic-fairness efficientnet ham10000 efficientnetb0 trustworthy-ai spurious-correlation dermatology-ai fairness-in-ai disentangled-representation-learning
  • Updated Dec 17, 2025
  • Jupyter Notebook

Improve this page

Add a description, image, and links to the disentangled-representation-learning topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the disentangled-representation-learning topic, visit your repo's landing page and select "manage topics."

Learn more