SheafStain reinterprets VFM embeddings as sheaf sections within a Schrödinger Bridge, using co-pretrained H&E/IHC backbones to produce spatially and biologically coherent virtual staining evaluated on stitched 1024x1024 outputs for HER2, ER, PR, and Ki-67.
Staindiffuser: mul- titask dual diffusion model for virtual staining
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
representative citing papers
HistDiT introduces a structure-aware latent conditional DiT with dual-stream conditioning and multi-objective loss that outperforms GANs and U-Net diffusion models for high-fidelity virtual histological staining.
citing papers explorer
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SheafStain: Sheaf-Theoretic Schr\"odinger Bridge for Spatially and Biologically Coherent Virtual Staining
SheafStain reinterprets VFM embeddings as sheaf sections within a Schrödinger Bridge, using co-pretrained H&E/IHC backbones to produce spatially and biologically coherent virtual staining evaluated on stitched 1024x1024 outputs for HER2, ER, PR, and Ki-67.
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HistDiT: A Structure-Aware Latent Conditional Diffusion Model for High-Fidelity Virtual Staining in Histopathology
HistDiT introduces a structure-aware latent conditional DiT with dual-stream conditioning and multi-objective loss that outperforms GANs and U-Net diffusion models for high-fidelity virtual histological staining.
- IMPLICITSTAINER: Resolution Agnostic Data-Efficient Virtual Staining Using Neural Implicit Functions