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ORCIDRui Yan 0009
Person information
- affiliation: Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China
- affiliation: University of Science and Technology of China, School of Biomedical Engineering, Suzhou Institute for Advanced Research, China
Other persons with the same name
- Rui Yan — disambiguation page
- Rui Yan 0001
![[0000-0002-3356-6823]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-3356-6823")
— Peking University, Center for Data Science, Beijing, China - Rui Yan 0002 — Tsinghua University, Department of Automation, Beijing, China
- Rui Yan 0003 — Dalian University of Technology, School of Biomedical Engineering, China
- Rui Yan 0004 — Zhejiang University, College of Electrical Engineering, Hangzhou, China
- Rui Yan 0005 — Sichuan University, Neuromorphic Computing Research Center, China
- Rui Yan 0006 — University of California San Diego, Department of Mathematics, USA
- Rui Yan 0007 — Rensselaer Polytechnic Institute, Troy, NY, USA
- Rui Yan 0008 — University of Toronto, Canada
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Journal Articles
- 2024
[j6]Rui Yan, Zhilong Lv, Zhidong Yang, Senlin Lin, Chun-Hou Zheng, Fa Zhang:
Sparse and Hierarchical Transformer for Survival Analysis on Whole Slide Images. IEEE J. Biomed. Health Informatics 28(1): 7-18 (2024)- 2023
- [j5]Rui Yan, Yijun Shen, Xueyuan Zhang, Peihang Xu, Jun Wang, Jintao Li, Fei Ren, Dingwei Ye, S. Kevin Zhou:
Histopathological bladder cancer gene mutation prediction with hierarchical deep multiple-instance learning. Medical Image Anal. 87: 102824 (2023) - [j4]Zhilong Lv, Yuexiao Lin, Rui Yan, Ying Wang, Fa Zhang:
TransSurv: Transformer-Based Survival Analysis Model Integrating Histopathological Images and Genomic Data for Colorectal Cancer. IEEE ACM Trans. Comput. Biol. Bioinform. 20(6): 3411-3420 (2023) - 2022
- [j3]Yu Hao, Xiaohua Wan, Rui Yan, Zhiyong Liu, Jintao Li, Shihua Zhang, Xuefeng Cui, Fa Zhang:
VP-Detector: A 3D multi-scale dense convolutional neural network for macromolecule localization and classification in cryo-electron tomograms. Comput. Methods Programs Biomed. 221: 106871 (2022) - [j2]Rui Yan, Fei Ren, Jintao Li, Xiaosong Rao, Zhilong Lv, Chunhou Zheng, Fa Zhang:
Nuclei-Guided Network for Breast Cancer Grading in HE-Stained Pathological Images. Sensors 22(11): 4061 (2022) - 2021
- [j1]Rui Yan, Fa Zhang, Xiaosong Rao, Zhilong Lv, Jintao Li, Lingling Zhang, Shuang Liang, Yilin Li, Fei Ren, Chunhou Zheng, Jun Liang:
Richer fusion network for breast cancer classification based on multimodal data. BMC Medical Informatics Decis. Mak. 21(1): 134 (2021)
Conference and Workshop Papers
- 2022
- [c13]Xiaoguang Li, Qiang Zhang, Zonglan Zuo, Rui Yan, Chunhou Zheng, Fa Zhang:
Predicting Drug-Disease Associations by Self-topological Generalized Matrix Factorization with Neighborhood Constraints. ICIC (2) 2022: 138-149 - [c12]Zhilong Lv, Rui Yan, Yuexiao Lin, Ying Wang, Fa Zhang:
Joint Region-Attention and Multi-scale Transformer for Microsatellite Instability Detection from Whole Slide Images in Gastrointestinal Cancer. MICCAI (2) 2022: 293-302 - 2021
- [c11]Zhilong Lv, Yuexiao Lin, Rui Yan, Zhenghe Yang, Ying Wang, Fa Zhang:
PG-TFNet: Transformer-based Fusion Network Integrating Pathological Images and Genomic Data for Cancer Survival Analysis. BIBM 2021: 491-496 - [c10]Rui Yan, Jintao Li, S. Kevin Zhou, Zhilong Lv, Xueyuan Zhang, Xiaosong Rao, Chunhou Zheng, Fei Ren, Fa Zhang:
Decomposition-and-Fusion Network for HE-Stained Pathological Image Classification. ICIC (3) 2021: 198-207 - [c9]Qiang Zhang, Zonglan Zuo, Rui Yan, Chunhou Zheng, Fa Zhang:
Predicting Drug-Disease Associations Based on Network Consistency Projection. ICIC (3) 2021: 591-602 - 2020
- [c8]Rui Yan, Jintao Li, Xiaosong Rao, Zhilong Lv, Chunhou Zheng, Jinjin Dou, Xiaowen Wang, Fei Ren, Fa Zhang:
NANet: Nuclei-Aware Network for Grading of Breast Cancer in HE Stained Pathological Images. BIBM 2020: 865-870 - [c7]Baorong Shi, Hong Zhang, Rui Yan, Wang Jing, Jinfeng Zang, Fa Zhang:
LR-Net: A Multi-task Model Using Relationship-based Contour Information to Enhance the Semantic Segmentation of Cancer Regions. BIBM 2020: 2371-2378 - [c6]Zhonglie Wang, Rui Yan, Jie Liu, Yudong Liu, Fei Ren, Chunhou Zheng, Fa Zhang:
An Integration Framework for Liver Cancer Subtype Classification and Survival Prediction Based on Multi-omics Data. ICIC (3) 2020: 247-257 - 2019
- [c5]Zhilong Lv, Rui Yan, Xinyu Liu, Zhongke Wu, Yicheng Zhu, Shiwei Sun, Fa Zhang, Xingce Wang, Xiaohua Wan:
Cerebrovascular Segmentation Algorithm Based on Focused Multi-Gaussians Model and Weighted 3D Markov Random Field. BIBM 2019: 846-851 - [c4]Hong Zhang, Fa Zhang, Fei Ren, Zhonglie Wang, Xiaosong Rao, Li Li, Junbo Hao, Rui Yan, Jiancheng Luo, Ming Du:
Predicting Tumor Mutational Burden from Liver Cancer Pathological Images Using Convolutional Neural Network. BIBM 2019: 920-925 - [c3]Rui Yan, Fei Ren, Xiaosong Rao, Baorong Shi, Tiange Xiang, Lingling Zhang, Yudong Liu, Jun Liang, Chunhou Zheng, Fa Zhang:
Integration of Multimodal Data for Breast Cancer Classification Using a Hybrid Deep Learning Method. ICIC (1) 2019: 460-469 - 2018
- [c2]Zihao Wang, Mingzhe Zhang, Jingrong Zhang, Rui Yan, Xiaohua Wan, Zhiyong Liu, Fa Zhang, Xuefeng Cui:
Mmalloc: A Dynamic Memory Management on Many-core Coprocessor for the Acceleration of Storage-intensive Bioinformatics Application. BIBM 2018: 771-774 - [c1]Rui Yan, Fei Ren, Zihao Wang, Lihua Wang, Yubo Ren, Yudong Liu, Xiaosong Rao, Chunhou Zheng, Fa Zhang:
A Hybrid Convolutional and Recurrent Deep Neural Network for Breast Cancer Pathological Image Classification. BIBM 2018: 957-962
Coauthor Index
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