Rui Yan

33 papers A* 2Journal 16Unranked 15
YearRankTypeTitle / Venue / Authors
2026 A* conf
Cyto-SSL: A Self-Supervised Pretraining Framework for Cytology Foundation Model.
AAAI
Yiming Zhang, Rui Yan, Xiaohua Wan, Yifan Zhao, Shuang Feng, Zhetao Xu, Ying Wang, Fa Zhang, Bin Hu
2026 J jnl
DiffVP: Differential Visual Semantic Prompting for LLM-Based CT Report Generation.
CoRR
Yuhe Tian, Kun Zhang, Haoran Ma, Rui Yan, Yingtai Li, Rongsheng Wang, Shaohua Kevin Zhou
2026 J jnl
Pathway-Aware Multimodal Transformer (PAMT): Integrating Pathological Image and Gene Expression for Interpretable Cancer Survival Analysis.
IEEE Trans. Pattern Anal. Mach. Intell.
Rui Yan, Xueyuan Zhang, Zihang Jiang, Baizhi Wang, Xiuwu Bian, Fei Ren, S. Kevin Zhou
2026 J jnl
QCAgent: An agentic framework for quality-controllable pathology report generation from whole slide image.
CoRR
Rundong Wang, Wei Ba, Ying Zhou, Yingtai Li, Bowen Liu, Baizhi Wang, Yuhao Wang, Zhidong Yang, Kun Zhang, Rui Yan, S. Kevin Zhou
2026 J jnl
WSISum: WSI summarization via dual-level semantic reconstruction.
Medical Image Anal.
Baizhi Wang, Kun Zhang, Yuhao Wang, Yunjie Gu, Haijing Luan, Ying Zhou, Taiyuan Hu, Rundong Wang, Zhidong Yang, Zihang Jiang, Rui Yan, S. Kevin Zhou
2025 A* conf
AA-CLIP: Enhancing Zero-Shot Anomaly Detection via Anomaly-Aware CLIP.
CVPR
Wenxin Ma, Xu Zhang, Qingsong Yao, Fenghe Tang, Chenxu Wu, Yingtai Li, Rui Yan, Zihang Jiang, S. Kevin Zhou
2025 J jnl
AA-CLIP: Enhancing Zero-shot Anomaly Detection via Anomaly-Aware CLIP.
CoRR
Wenxin Ma, Xu Zhang, Qingsong Yao, Fenghe Tang, Chenxu Wu, Yingtai Li, Rui Yan, Zihang Jiang, S. Kevin Zhou
2025 J jnl
Fusion of Heterogeneous Pathology Foundation Models for Whole Slide Image Analysis.
CoRR
Zhidong Yang, Xiuhui Shi, Wei Ba, Zhigang Song, Haijing Luan, Taiyuan Hu, Senlin Lin, Jiguang Wang, Shaohua Kevin Zhou, Rui Yan
2025 J jnl
Histomorphology-driven multi-instance learning for breast cancer WSI classification.
CoRR
Baizhi Wang, Rui Yan, Wenxin Ma, Xu Zhang, Yuhao Wang, Xiaolong Li, Yunjie Gu, Zihang Jiang, S. Kevin Zhou
2025 — conf
KANTrust: A Multi-Omics Framework for Uncertainty-Aware Disease Subtyping.
BIBM
Chunjiang Wang, Rui Yan, Kun Zhang, Zihang Jiang, Zhiyang He, Xiaodong Tao, S. Kevin Zhou
2025 J jnl
MACD: Multi-Agent Clinical Diagnosis with Self-Learned Knowledge for LLM.
CoRR
Wenliang Li, Rui Yan, Xu Zhang, Li Chen, Hongji Zhu, Jing Zhao, Junjun Li, Mengru Li, Wei Cao, Zihang Jiang, Wei Wei, Kun Zhang, Shaohua Kevin Zhou
2025 — conf
SimCroP: Radiograph Representation Learning with Similarity-Driven Cross-Granularity Pre-training.
MICCAI (5)
Rongsheng Wang, Fenghe Tang, Qingsong Yao, Rui Yan, Xu Zhang, Zhen Huang, Haoran Lai, Zhiyang He, Xiaodong Tao, Zihang Jiang, S. Kevin Zhou
2025 J jnl
SimCroP: Radiograph Representation Learning with Similarity-driven Cross-granularity Pre-training.
CoRR
Rongsheng Wang, Fenghe Tang, Qingsong Yao, Rui Yan, Xu Zhang, Zhen Huang, Haoran Lai, Zhiyang He, Xiaodong Tao, Zihang Jiang, Shaohua Kevin Zhou
2024 J jnl
A Disentangled Representation-Based Multimodal Fusion Framework Integrating Pathomics and Radiomics for KRAS Mutation Detection in Colorectal Cancer.
Big Data Min. Anal.
Zhilong Lv, Rui Yan, Yuexiao Lin, Lin Gao, Fa Zhang, Ying Wang
2024 J jnl
Sparse and Hierarchical Transformer for Survival Analysis on Whole Slide Images.
IEEE J. Biomed. Health Informatics
Rui Yan, Zhilong Lv, Zhidong Yang, Senlin Lin, Chun-Hou Zheng, Fa Zhang
2023 J jnl
Histopathological bladder cancer gene mutation prediction with hierarchical deep multiple-instance learning.
Medical Image Anal.
Rui Yan, Yijun Shen, Xueyuan Zhang, Peihang Xu, Jun Wang, Jintao Li, Fei Ren, Dingwei Ye, S. Kevin Zhou
2023 J jnl
TransSurv: Transformer-Based Survival Analysis Model Integrating Histopathological Images and Genomic Data for Colorectal Cancer.
IEEE ACM Trans. Comput. Biol. Bioinform.
Zhilong Lv, Yuexiao Lin, Rui Yan, Ying Wang, Fa Zhang
2022 — conf
Joint Region-Attention and Multi-scale Transformer for Microsatellite Instability Detection from Whole Slide Images in Gastrointestinal Cancer.
MICCAI (2)
Zhilong Lv, Rui Yan, Yuexiao Lin, Ying Wang, Fa Zhang
2022 J jnl
Nuclei-Guided Network for Breast Cancer Grading in HE-Stained Pathological Images.
Sensors
Rui Yan, Fei Ren, Jintao Li, Xiaosong Rao, Zhilong Lv, Chunhou Zheng, Fa Zhang
2022 — conf
Predicting Drug-Disease Associations by Self-topological Generalized Matrix Factorization with Neighborhood Constraints.
ICIC (2)
Xiaoguang Li, Qiang Zhang, Zonglan Zuo, Rui Yan, Chunhou Zheng, Fa Zhang
2022 J jnl
VP-Detector: A 3D multi-scale dense convolutional neural network for macromolecule localization and classification in cryo-electron tomograms.
Comput. Methods Programs Biomed.
Yu Hao, Xiaohua Wan, Rui Yan, Zhiyong Liu, Jintao Li, Shihua Zhang, Xuefeng Cui, Fa Zhang
2021 — conf
Decomposition-and-Fusion Network for HE-Stained Pathological Image Classification.
ICIC (3)
Rui Yan, Jintao Li, S. Kevin Zhou, Zhilong Lv, Xueyuan Zhang, Xiaosong Rao, Chunhou Zheng, Fei Ren, Fa Zhang
2021 — conf
PG-TFNet: Transformer-based Fusion Network Integrating Pathological Images and Genomic Data for Cancer Survival Analysis.
BIBM
Zhilong Lv, Yuexiao Lin, Rui Yan, Zhenghe Yang, Ying Wang, Fa Zhang
2021 — conf
Predicting Drug-Disease Associations Based on Network Consistency Projection.
ICIC (3)
Qiang Zhang, Zonglan Zuo, Rui Yan, Chunhou Zheng, Fa Zhang
2021 J jnl
Richer fusion network for breast cancer classification based on multimodal data.
BMC Medical Informatics Decis. Mak.
Rui Yan, Fa Zhang, Xiaosong Rao, Zhilong Lv, Jintao Li, Lingling Zhang, Shuang Liang, Yilin Li, Fei Ren, Chunhou Zheng, Jun Liang
2020 — conf
An Integration Framework for Liver Cancer Subtype Classification and Survival Prediction Based on Multi-omics Data.
ICIC (3)
Zhonglie Wang, Rui Yan, Jie Liu, Yudong Liu, Fei Ren, Chunhou Zheng, Fa Zhang
2020 — conf
LR-Net: A Multi-task Model Using Relationship-based Contour Information to Enhance the Semantic Segmentation of Cancer Regions.
BIBM
Baorong Shi, Hong Zhang, Rui Yan, Wang Jing, Jinfeng Zang, Fa Zhang
2020 — conf
NANet: Nuclei-Aware Network for Grading of Breast Cancer in HE Stained Pathological Images.
BIBM
Rui Yan, Jintao Li, Xiaosong Rao, Zhilong Lv, Chunhou Zheng, Jinjin Dou, Xiaowen Wang, Fei Ren, Fa Zhang
2019 — conf
Cerebrovascular Segmentation Algorithm Based on Focused Multi-Gaussians Model and Weighted 3D Markov Random Field.
BIBM
Zhilong Lv, Rui Yan, Xinyu Liu, Zhongke Wu, Yicheng Zhu, Shiwei Sun, Fa Zhang, Xingce Wang, Xiaohua Wan
2019 — conf
Integration of Multimodal Data for Breast Cancer Classification Using a Hybrid Deep Learning Method.
ICIC (1)
Rui Yan, Fei Ren, Xiaosong Rao, Baorong Shi, Tiange Xiang, Lingling Zhang, Yudong Liu, Jun Liang, Chunhou Zheng, Fa Zhang
2019 — conf
Predicting Tumor Mutational Burden from Liver Cancer Pathological Images Using Convolutional Neural Network.
BIBM
Hong Zhang, Fa Zhang, Fei Ren, Zhonglie Wang, Xiaosong Rao, Li Li, Junbo Hao, Rui Yan, Jiancheng Luo, Ming Du
2018 — conf
A Hybrid Convolutional and Recurrent Deep Neural Network for Breast Cancer Pathological Image Classification.
BIBM
Rui Yan, Fei Ren, Zihao Wang, Lihua Wang, Yubo Ren, Yudong Liu, Xiaosong Rao, Chunhou Zheng, Fa Zhang
2018 — conf
Mmalloc: A Dynamic Memory Management on Many-core Coprocessor for the Acceleration of Storage-intensive Bioinformatics Application.
BIBM
Zihao Wang, Mingzhe Zhang, Jingrong Zhang, Rui Yan, Xiaohua Wan, Zhiyong Liu, Fa Zhang, Xuefeng Cui