中国科学院计算技术研究所机构知识库

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	Pathway-Aware Multimodal Transformer (PAMT): Integrating Pathological Image and Gene Expression for Interpretable Cancer Survival Analysis 期刊论文 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2026, 卷号: 48, 期号: 1, 页码: 896-913 作者:  Yan, Rui;  Zhang, Xueyuan;  Jiang, Zihang;  Wang, Baizhi;  Bian, Xiuwu;  Ren, Fei;  Zhou, S. Kevin 收藏  |  浏览/下载：1/0  |  提交时间：2026/05/25 Pathology  Cancer  Transformers  Feature extraction  Data models  Biological system modeling  Analytical models  Deep learning  Semantics  Multimodal transformer  model interpretability  survival analysis  pathological image analysis  gene expression  gene expression
	Sparse and Hierarchical Transformer for Survival Analysis on Whole Slide Images 期刊论文 IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2024, 卷号: 28, 期号: 1, 页码: 7-18 作者:  Yan, Rui;  Lv, Zhilong;  Yang, Zhidong;  Lin, Senlin;  Zheng, Chunhou;  Zhang, Fa 收藏  |  浏览/下载：59/0  |  提交时间：2024/05/20 Hierarchical representation  pathological image analysis  sparse transformer  survival analysis
	TransSurv: Transformer-Based Survival Analysis Model Integrating Histopathological Images and Genomic Data for Colorectal Cancer 期刊论文 IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2023, 卷号: 20, 期号: 6, 页码: 3411-3420 作者:  Lv, Zhilong;  Lin, Yuexiao;  Yan, Rui;  Wang, Ying;  Zhang, Fa 收藏  |  浏览/下载：103/0  |  提交时间：2024/05/20 Cancer  Genomics  Bioinformatics  Transformers  Tumors  Feature extraction  Prognostics and health management  Survival analysis  multi-modal learning  transformer  histopathological slides  genomic data
	A Novel Attention-Mechanism Based Cox Survival Model by Exploiting Pan-Cancer Empirical Genomic Information 期刊论文 CELLS, 2022, 卷号: 11, 期号: 9, 页码: 18 作者:  Meng, Xiangyu;  Wang, Xun;  Zhang, Xudong;  Zhang, Chaogang;  Zhang, Zhiyuan;  Zhang, Kuijie;  Wang, Shudong 收藏  |  浏览/下载：103/0  |  提交时间：2022/12/07 deep learning  survival analysis  neural networks  Cox regression  cancer prognosis
	DeepOmix: A scalable and interpretable multi-omics deep learning framework and application in cancer survival analysis 期刊论文 COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL, 2021, 卷号: 19, 页码: 2719-2725 作者:  Zhao, Lianhe;  Dong, Qiongye;  Luo, Chunlong;  Wu, Yang;  Bu, Dechao;  Qi, Xiaoning;  Luo, Yufan;  Zhao, Yi 收藏  |  浏览/下载：130/0  |  提交时间：2021/12/01 Multi-omics  Deep learning  Survival analysis  Prognosis prediction  Interpretable model