Rui Yan

Orcid: 0000-0002-1336-1740

Affiliations:
  • Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China
  • University of Science and Technology of China, School of Biomedical Engineering, Suzhou Institute for Advanced Research, China


According to our database1, Rui Yan authored at least 19 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
Sparse and Hierarchical Transformer for Survival Analysis on Whole Slide Images.
IEEE J. Biomed. Health Informatics, January, 2024

2023
TransSurv: Transformer-Based Survival Analysis Model Integrating Histopathological Images and Genomic Data for Colorectal Cancer.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Histopathological bladder cancer gene mutation prediction with hierarchical deep multiple-instance learning.
Medical Image Anal., 2023

2022
Nuclei-Guided Network for Breast Cancer Grading in HE-Stained Pathological Images.
Sensors, 2022

VP-Detector: A 3D multi-scale dense convolutional neural network for macromolecule localization and classification in cryo-electron tomograms.
Comput. Methods Programs Biomed., 2022

Joint Region-Attention and Multi-scale Transformer for Microsatellite Instability Detection from Whole Slide Images in Gastrointestinal Cancer.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Predicting Drug-Disease Associations by Self-topological Generalized Matrix Factorization with Neighborhood Constraints.
Proceedings of the Intelligent Computing Theories and Application, 2022

2021
Richer fusion network for breast cancer classification based on multimodal data.
BMC Medical Informatics Decis. Mak., 2021

Predicting Drug-Disease Associations Based on Network Consistency Projection.
Proceedings of the Intelligent Computing Theories and Application, 2021

Decomposition-and-Fusion Network for HE-Stained Pathological Image Classification.
Proceedings of the Intelligent Computing Theories and Application, 2021

PG-TFNet: Transformer-based Fusion Network Integrating Pathological Images and Genomic Data for Cancer Survival Analysis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
An Integration Framework for Liver Cancer Subtype Classification and Survival Prediction Based on Multi-omics Data.
Proceedings of the Intelligent Computing Methodologies - 16th International Conference, 2020

NANet: Nuclei-Aware Network for Grading of Breast Cancer in HE Stained Pathological Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

LR-Net: A Multi-task Model Using Relationship-based Contour Information to Enhance the Semantic Segmentation of Cancer Regions.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019
Integration of Multimodal Data for Breast Cancer Classification Using a Hybrid Deep Learning Method.
Proceedings of the Intelligent Computing Theories and Application, 2019

Predicting Tumor Mutational Burden from Liver Cancer Pathological Images Using Convolutional Neural Network.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Cerebrovascular Segmentation Algorithm Based on Focused Multi-Gaussians Model and Weighted 3D Markov Random Field.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018
A Hybrid Convolutional and Recurrent Deep Neural Network for Breast Cancer Pathological Image Classification.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

Mmalloc: A Dynamic Memory Management on Many-core Coprocessor for the Acceleration of Storage-intensive Bioinformatics Application.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018


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