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Fang Yan

1 accepted papers

2026

SAR2Net: Learning Spatially Anchored Representations for Retrieval-Guided Cross-Stain Alignment

CVPR 2026

Achieving spatial alignment between whole-slide images (WSIs) across stains is essential for integrating morphology and molecular information, yet it remains challenging due to extreme resolution, tissue fragmentation, and large nonlinear deformations. Conventional registration pipelines depend on g

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