Privacy-Preserving Multi-Source Domain Adaptation for Medical Data-Reference-Cited by-同舟云学术

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Privacy-Preserving Multi-Source Domain Adaptation for Medical Data

Published:2023-02 Issue:2 Volume:27 Page:842-853
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Han Tianyi¹^ORCID,Gong Xiaoli¹^ORCID,Feng Fan¹,Zhang Jin¹,Sun Zhe²^ORCID,Zhang Yu³

Affiliation:

1. College of Computer Science, Nankai University, Tianjin, China

2. Computational Engineering Applications Unit, Head Office for Information Systems and Cybersecurity, RIKEN, Saitama, Japan

3. Department of Bioengineering, Lehigh University, Bethlehem, PA, USA

Funder

Lehigh University Accelerator

FIG

CORE

Key Research and Development Program of Guangdong, China

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics

Link

http://xplorestaging.ieee.org/ielx7/6221020/10036335/09779659.pdf?arnumber=9779659

Reference60 articles.

1. Privacy Protection for Medical Data Sharing in Smart Healthcare

2. A comprehensive survey on model compression and acceleration

3. Privacy-preserving data sharing infrastructures for medical research: systematization and comparison

4. Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer

5. From Connectomic to Task-Evoked Fingerprints: Individualized Prediction of Task Contrasts from Resting-State Functional Connectivity

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