fahadshamshad/awesome-transformers-in-medical-imaging

Curated chronologically by application domain (segmentation, classification, reconstruction, registration, synthesis, detection, report generation), this resource aggregates peer-reviewed papers with links to implementations, complementing a published survey in Medical Image Analysis. Covers hybrid CNN-Transformer architectures (TransFuse, CoTr), pure transformer approaches (UNETR, Swin-UNet), and vision transformer variants optimized for 2D/3D medical imaging tasks across modalities. Actively maintained with contributor guidelines for submitting new papers and implementations.

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