Curated list of digital pathology papers.
Task-specific Fine-tuning via Variational Information Bottleneck for Weakly-supervised Pathology Whole Slide Image Classification 
Honglin Li, Chenglu Zhu, Yunlong Zhang, Yuxuan Sun, Zhongyi Shui, Wenwei Kuang, Sunyi Zheng, Lin Yang* 
[Jun, 2023] [CVPR, 2023] 
[Paper]
Histopathology Whole Slide Image Analysis with Heterogeneous Graph Representation Learning 
Tsai Hor Chan, Fernando Julio Cendra, Lan Ma, Guosheng Yin, Lequan Yu 
[Jun, 2023] [CVPR, 2023] 
[Paper]
Interventional Bag Multi-Instance Learning On Whole-Slide Pathological Images 
Tiancheng Lin, Zhimiao Yu, Hongyu Hu, Yi Xu, Chang Wen Chen 
[Jun, 2023] [CVPR, 2023] 
[Paper]
RankMix: Data Augmentation for Weakly Supervised Learning of Classifying Whole Slide Images with Diverse Sizes and Imbalanced Categories 
Yuan-Chih Chen, Chun-Shien Lu 
[Jun, 2023] [CVPR, 2023] 
[Paper]
Weakly supervised segmentation with point annotations for histopathology images via contrast-based variational model 
Hongrun Zhang, Liam Burrows, Yanda Meng, Declan Sculthorpe, Abhik Mukherjee, Sarah E Coupland, Ke Chen, Yalin Zheng 
[Jun, 2023] [CVPR, 2023] 
[Paper]
Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images 
Ming Y. Lu†, Bowen Chen†, Andrew Zhang, Drew F.K. Williamson, Richard J. Chen, Tong Ding, Long Phi Le, Yung-Sung Chuang, Faisal Mahmood 
[Jun, 2023] [CVPR, 2023] 
[Paper]
Bi-directional Feature Fusion Generative Adversarial Network for Ultra-high Resolution Pathological Image Virtual Re-staining 
Kexin Sun, Zhineng Chen, Gongwei Wang, Jun Liu, Xiongjun Ye, Yu-Gang Jiang 
[Jun, 2023] [CVPR, 2023] 
[Paper]
Topology-Guided Multi-Class Cell Context Generation for Digital Pathology 
Shahira Abousamra, Rajarsi Gupta, Tahsin Kurc, Dimitris Samaras, Joel Saltz, Chao Chen 
[Jun, 2023] [CVPR, 2023] 
[Paper]
OCELOT: Overlapped Cell on Tissue Dataset for Histopathology 
Jeongun Ryu, Aaron Valero Puche, JaeWoong Shin, Seonwook Park, Biagio Brattoli, Jinhee Lee 
[Jun, 2023] [CVPR, 2023] 
[Paper]
Benchmarking Self-Supervised Learning on Diverse Pathology Datasets 
Mingu Kang, Heon Song, Seonwook Park, Donggeun Yoo, Sérgio Pereira 
[Jun, 2023] [CVPR, 2023] 
[Paper]