Saved in:
| Main Authors: | Lin, Yiyang, Jiang, Danling, Liu, Xinyu, Miao, Yun, Yuan, Yixuan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2503.00697 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Leveraging Pre-trained Models for FF-to-FFPE Histopathological Image Translation
by: Zhang, Qilai, et al.
Published: (2024)
by: Zhang, Qilai, et al.
Published: (2024)
F2FLDM: Latent Diffusion Models with Histopathology Pre-Trained Embeddings for Unpaired Frozen Section to FFPE Translation
by: Ho, Man M., et al.
Published: (2024)
by: Ho, Man M., et al.
Published: (2024)
Cross-Modality Learning for Predicting IHC Biomarkers from H&E-Stained Whole-Slide Images
by: Das, Amit, et al.
Published: (2025)
by: Das, Amit, et al.
Published: (2025)
Pathological Semantics-Preserving Learning for H&E-to-IHC Virtual Staining
by: Chen, Fuqiang, et al.
Published: (2024)
by: Chen, Fuqiang, et al.
Published: (2024)
DeReStainer: H&E to IHC Pathological Image Translation via Decoupled Staining Channels
by: Wei, Linda, et al.
Published: (2024)
by: Wei, Linda, et al.
Published: (2024)
Advancing H&E-to-IHC Stain Translation in Breast Cancer: A Multi-Magnification and Attention-Based Approach
by: Qu, Linhao, et al.
Published: (2024)
by: Qu, Linhao, et al.
Published: (2024)
Mix-Domain Contrastive Learning for Unpaired H&E-to-IHC Stain Translation
by: Wang, Song, et al.
Published: (2024)
by: Wang, Song, et al.
Published: (2024)
UNIStainNet: Foundation-Model-Guided Virtual Staining of H&E to IHC
by: Saurav, Jillur Rahman, et al.
Published: (2026)
by: Saurav, Jillur Rahman, et al.
Published: (2026)
Diagnosising Helicobacter pylori using AutoEncoders and Limited Annotations through Anomalous Staining Patterns in IHC Whole Slide Images
by: Cano, Pau, et al.
Published: (2024)
by: Cano, Pau, et al.
Published: (2024)
Stain Normalization of Hematology Slides using Neural Color Transfer
by: Arshad, M. Muneeb, et al.
Published: (2024)
by: Arshad, M. Muneeb, et al.
Published: (2024)
Compensation based Dictionary Transfer for Similar Multispectral Image Spectral Super-resolution
by: Han, Xiaolin, et al.
Published: (2025)
by: Han, Xiaolin, et al.
Published: (2025)
DiffRect: Latent Diffusion Label Rectification for Semi-supervised Medical Image Segmentation
by: Liu, Xinyu, et al.
Published: (2024)
by: Liu, Xinyu, et al.
Published: (2024)
ReStainGAN: Leveraging IHC to IF Stain Domain Translation for in-silico Data Generation
by: Winter, Dominik, et al.
Published: (2024)
by: Winter, Dominik, et al.
Published: (2024)
End-to-end Multi-source Visual Prompt Tuning for Survival Analysis in Whole Slide Images
by: Qiu, Zhongwei, et al.
Published: (2024)
by: Qiu, Zhongwei, et al.
Published: (2024)
Multi-Resolution Data Fusion for Super Resolution Imaging
by: Reid, Emma J, et al.
Published: (2021)
by: Reid, Emma J, et al.
Published: (2021)
UN-SAM: Universal Prompt-Free Segmentation for Generalized Nuclei Images
by: Chen, Zhen, et al.
Published: (2024)
by: Chen, Zhen, et al.
Published: (2024)
StainFuser: Controlling Diffusion for Faster Neural Style Transfer in Multi-Gigapixel Histology Images
by: Jewsbury, Robert, et al.
Published: (2024)
by: Jewsbury, Robert, et al.
Published: (2024)
mViSE: A Visual Search Engine for Analyzing Multiplex IHC Brain Tissue Images
by: Huang, Liqiang, et al.
Published: (2025)
by: Huang, Liqiang, et al.
Published: (2025)
StainDiffuser: MultiTask Dual Diffusion Model for Virtual Staining
by: Kataria, Tushar, et al.
Published: (2024)
by: Kataria, Tushar, et al.
Published: (2024)
CompSRT: Quantization and Pruning for Image Super Resolution Transformers
by: Zeinali, Dorsa, et al.
Published: (2026)
by: Zeinali, Dorsa, et al.
Published: (2026)
Image Quality Transfer of Diffusion MRI Guided By High-Resolution Structural MRI
by: Cicimen, Alp G., et al.
Published: (2024)
by: Cicimen, Alp G., et al.
Published: (2024)
Stain Style Transfer using Transitive Adversarial Networks
by: Cai, Shaojin, et al.
Published: (2019)
by: Cai, Shaojin, et al.
Published: (2019)
Harnessing Lightweight Transformer with Contextual Synergic Enhancement for Efficient 3D Medical Image Segmentation
by: Liu, Xinyu, et al.
Published: (2026)
by: Liu, Xinyu, et al.
Published: (2026)
Unsupervised Image Super-Resolution Reconstruction Based on Real-World Degradation Patterns
by: Tie, Yiyang, et al.
Published: (2025)
by: Tie, Yiyang, et al.
Published: (2025)
HistDiST: Histopathological Diffusion-based Stain Transfer
by: Großkopf, Erik, et al.
Published: (2025)
by: Großkopf, Erik, et al.
Published: (2025)
Learning Correction Errors via Frequency-Self Attention for Blind Image Super-Resolution
by: Sun, Haochen, et al.
Published: (2024)
by: Sun, Haochen, et al.
Published: (2024)
Understanding Stain Separation Improves Cross-Scanner Adenocarcinoma Segmentation with Joint Multi-Task Learning
by: Kim, Ho Heon, et al.
Published: (2024)
by: Kim, Ho Heon, et al.
Published: (2024)
Spatial-temporal Hierarchical Reinforcement Learning for Interpretable Pathology Image Super-Resolution
by: Chen, Wenting, et al.
Published: (2024)
by: Chen, Wenting, et al.
Published: (2024)
Improving Lesion Segmentation in Medical Images by Global and Regional Feature Compensation
by: Wang, Chuhan, et al.
Published: (2025)
by: Wang, Chuhan, et al.
Published: (2025)
GenMFSR: Generative Multi-Frame Image Restoration and Super-Resolution
by: Weligampola, Harshana, et al.
Published: (2026)
by: Weligampola, Harshana, et al.
Published: (2026)
Diffusion-based Virtual Staining from Polarimetric Mueller Matrix Imaging
by: Zheng, Xiaoyu, et al.
Published: (2025)
by: Zheng, Xiaoyu, et al.
Published: (2025)
Clinical Feasibility of Label-Free Digital Staining Using Mid-Infrared Microscopy at Subcellular Resolution
by: Duraffourg, L., et al.
Published: (2026)
by: Duraffourg, L., et al.
Published: (2026)
Interleaved Block-based Learned Image Compression with Feature Enhancement and Quantization Error Compensation
by: Jiang, Shiqi, et al.
Published: (2025)
by: Jiang, Shiqi, et al.
Published: (2025)
From Pixels to Pathology: Restoration Diffusion for Diagnostic-Consistent Virtual IHC
by: Liu, Jingsong, et al.
Published: (2025)
by: Liu, Jingsong, et al.
Published: (2025)
MLICv2: Enhanced Multi-Reference Entropy Modeling for Learned Image Compression
by: Jiang, Wei, et al.
Published: (2025)
by: Jiang, Wei, et al.
Published: (2025)
Impact of Stain Variation and Color Normalization for Prognostic Predictions in Pathology
by: Siyu, et al.
Published: (2024)
by: Siyu, et al.
Published: (2024)
IMPLICITSTAINER: Resolution Agnostic Data-Efficient Virtual Staining Using Neural Implicit Functions
by: Kataria, Tushar, et al.
Published: (2025)
by: Kataria, Tushar, et al.
Published: (2025)
Edge-guided and Cross-scale Feature Fusion Network for Efficient Multi-contrast MRI Super-Resolution
by: Yang, Zhiyuan, et al.
Published: (2024)
by: Yang, Zhiyuan, et al.
Published: (2024)
Neuromorphic Imaging with Super-Resolution
by: Zhang, Pei, et al.
Published: (2024)
by: Zhang, Pei, et al.
Published: (2024)
Can Generative AI Replace Immunofluorescent Staining Processes? A Comparison Study of Synthetically Generated CellPainting Images from Brightfield
by: Xing, Xiaodan, et al.
Published: (2024)
by: Xing, Xiaodan, et al.
Published: (2024)
Similar Items
-
Leveraging Pre-trained Models for FF-to-FFPE Histopathological Image Translation
by: Zhang, Qilai, et al.
Published: (2024) -
F2FLDM: Latent Diffusion Models with Histopathology Pre-Trained Embeddings for Unpaired Frozen Section to FFPE Translation
by: Ho, Man M., et al.
Published: (2024) -
Cross-Modality Learning for Predicting IHC Biomarkers from H&E-Stained Whole-Slide Images
by: Das, Amit, et al.
Published: (2025) -
Pathological Semantics-Preserving Learning for H&E-to-IHC Virtual Staining
by: Chen, Fuqiang, et al.
Published: (2024) -
DeReStainer: H&E to IHC Pathological Image Translation via Decoupled Staining Channels
by: Wei, Linda, et al.
Published: (2024)