2025 CVPR Accepted paper Link：https://cvpr.thecvf.com/Conferences/2025/AcceptedPapers
Here are all the CVPR 2025 papers ralated to pathology image/WSI:
| Type | Author | Paper | Challenge | Link | Dataset/Benchmark/Code | **** |
|---|---|---|---|---|---|---|
| Graph | Chi Changxi · Peng Wan · Daoqiang Zhang · WEI SHAO | Multi-modal Topology-embedded Graph Learning for Spatially Resolved Genes Prediction from Pathology Images with Prior Gene Similarity Information | ||||
| Vision-Language | Shahad Albastaki · Anabia Sohail · IYYAKUTTI IYAPPAN GANAPATHI · Basit Alawode · Asim Khan · Sajid Javed · Naoufel Werghi · Mohammed Bennamoun · Arif Mahmood | Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation | ||||
| Vision-Language | Yuxuan Sun · Yixuan Si · Chenglu Zhu · Xuan Gong · Kai Zhang · Pingyi Chen · Ye Zhang · Zhongyi Shui · Tao Lin · Lin Yang | CPath-Omni: A Unified Multimodal Foundation Model for Patch and Whole Slide Image Analysis in Computational Pathology | https://arxiv.org/pdf/2412.12077 | |||
| Graph | Aniruddha Ganguly · Debolina Chatterjee · Wentao Huang · Jie Zhang · Alisa Yurovsky · Travis Steele Johnson · Chao Chen | MERGE: Multi-faceted Hierarchical Graph-based GNN for Gene Expression Prediction from Whole Slide Histopathology Images | https://arxiv.org/pdf/2412.02601v1 | |||
| Explainable | Amaya Gallagher-Syed · Henry Senior · Omnia Alwazzan · Elena Pontarini · Michele Bombardieri · Costantino Pitzalis · Myles J. Lewis · Michael R Barnes · Luca Rossi · Greg Slabaugh | BioX-CPath: Biologically-driven Explainable Diagnostics for Multistain IHC Computational Pathology | ||||
| Vision-Language | Ying Chen · Guoan Wang · Yuanfeng Ji · Yanjun Li · Jin Ye · Tianbin · Ming Hu · Rongshan Yu · Yu Qiao · Junjun He | SlideChat: A Large Vision-Language Assistant for Whole-Slide Pathology Image Understanding | https://arxiv.org/pdf/2410.11761 | |||
| Diffusion | Meilong Xu · Saumya Gupta · Xiaoling Hu · Chen Li · Shahira Abousamra · Dimitris Samaras · Prateek Prasanna · Chao Chen | TopoCellGen: Generating Histopathology Cell Topology with a Diffusion Model | https://arxiv.org/pdf/2412.06011 | |||
| MIL+continual learning | Xianrui Li · Yufei Cui · Jun Li · Antoni B. Chan | Advancing Multiple Instance Learning with Continual Learning for Whole Slide Imaging | ||||
| Few-shot | Zhengrui Guo · Conghao Xiong · Jiabo MA · Qichen Sun · Lishuang Feng · Jinzhuo Wang · Hao Chen | FOCUS: Knowledge-enhanced Adaptive Visual Compression for Few-shot Whole Slide Image Classification | https://arxiv.org/pdf/2411.14743 | https://github.com/dddavid4real/FOCUS | ||
| Mixture of Experts | Junxian Wu · Minheng Chen · Xinyi Ke · Xun · Xiaoming Jiang · Hongyu Zhou · Lizhi Shao · Youyong Kong | Learning Heterogeneous Tissues with Mixture of Experts for Gigapixel Whole Slide Images | ||||
| Compression(WSI ) | Yu Mao · Jun Wang · Nan Guan · Chun Jason Xue | WISE: A Framework for Gigapixel Whole-Slide-Image Lossless Compression | ||||
| FL | Farchan Hakim Raswa · Chun-Shien Lu · Jia-Ching Wang | HistoFS: Non-IID Histopathologic Whole Slide Image Classification via Federated Style Transfer with RoI-Preserving | ||||
| Diffusion | Jianwei Zhao · XIN LI · Fan Yang · Qiang Zhai · Ao Luo · Yang Zhao · Hong Cheng · Huazhu Fu | MExD: An Expert-Infused Diffusion Model for Whole-Slide Image Classification | ||||
| Prompt | Qingchen Tang · Lei Fan · Maurice Pagnucco · Yang Song | Prototype-Based Image Prompting for Weakly Supervised Histopathological Image Segmentation | ||||
| GAN | Tong Wang · Mingkang Wang · Zhongze Wang · Hongkai Wang · Qi Xu · Fengyu Cong · Hongming Xu | ODA-GAN: Orthogonal Decoupling Alignment GAN Assisted by Weakly-supervised Learning for Virtual Immunohistochemistry Staining | ||||
| Prompt | Yingxue Xu1 Fengtao Zhou1 Chenyu Zhao1 Yihui Wang1 Can Yang2 HaoChen | Distilled Prompt Learning for Incomplete Multimodal Survival Prediction | missing modalities | https://arxiv.org/pdf/2503.01653 | ||
| MIL | Jiuyang Dong, Junjun Jiang, Kui Jiang, Jiahan Li, Yongbing Zhang | Fast and Accurate Gigapixel Pathological Image Classification with Hierarchical Distillation Multi-Instance Learning | high inference costs | https://arxiv.org/abs/2502.21130 | https://github.com/Innse/DisPro | |
| Mamba | Jingwei Zhang · Anh Tien Nguyen · Xi Han · Vincent Quoc-Huy Trinh · Hong Qin · Dimitris Samaras · Mahdi Hosseini | 2DMamba: Efficient State Space Model for Image Representation with Applications on Giga-Pixel Whole Slide Image Classification | Spatial discrepancy for WSI | https://arxiv.org/abs/2412.00678 | ||
| Mamba | Tingting Zheng, Kui Jiang, Yi Xiao, Sicheng Zhao, Hongxun Yao | M3amba: Memory Mamba is All You Need for Whole Slide Image Classification | ||||
| Conditional Variational AutoEncoder | Junjie Zhou · Jiao Tang · Yingli Zuo · Peng Wan · Daoqiang Zhang · WEI SHAO | Robust Multimodal Survival Prediction with the Latent Differentiation Conditional Variational AutoEncoder | ||||
| Unsupervised | Tim Lenz · Peter Neidlinger · Marta Ligero · Georg Wölflein · Marko van Treeck · Jakob Nikolas Kather | Unsupervised Foundation Model-Agnostic Slide-Level Representation Learning |