View-Aware Collaborative Learning for Survival Prediction and Subgroup Identification-Reference-Cited by-同舟云学术

View-Aware Collaborative Learning for Survival Prediction and Subgroup Identification

Published:2023-01 Issue:1 Volume:70 Page:307-317
ISSN:0018-9294
Container-title:IEEE Transactions on Biomedical Engineering
language:
Short-container-title:IEEE Trans. Biomed. Eng.

Author:

Liu Cheng¹^ORCID,Wu Si²^ORCID,Jiang Dazhi³^ORCID,Yu Zhiwen²^ORCID,Wong Hau-San⁴^ORCID

Affiliation:

1. Department of Computer Science, Shantou University and Guangdong Provincial Key Laboratory of Infectious Diseases and Molecular Immunopathology, China

2. School of Computer Science and Engineering, South China University of Technology, China

3. Department of Computer Science, Shantou University, Shantou, China

4. Department of Computer Science, City University of Hong Kong, Hong Kong

Funder

National Natural Science Foundation of China

Natural Science Foundation of Guangdong Province

Shantou University

2020 Li Ka Shing Foundation Cross-Disciplinary Research

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering

Link

http://xplorestaging.ieee.org/ielx7/10/9998557/09827564.pdf?arnumber=9827564

Reference53 articles.

1. Adversarial time-to-event modeling;chapfuwa;Proc Int Conf Mach Learn,0

2. A Multi-Task Learning Formulation for Survival Analysis

3. Cross-View Local Structure Preserved Diversity and Consensus Learning for Multi-View Unsupervised Feature Selection

4. Ranking-Based Survival Prediction on Histopathological Whole-Slide Images

5. Domain Adaptation by Joint Distribution Invariant Projections

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