FedDBM: Federated Digital Biomarker for Detecting Parkinson’s Disease Progress-Reference-Cited by-同舟云学术

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FedDBM: Federated Digital Biomarker for Detecting Parkinson’s Disease Progress

Published:2023-07 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Multimedia and Expo (ICME)
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Author:

Chen Yiqiang¹,Yang Xiaodong¹,He Yuting¹,Miao Chunyan²,Chan Piu³

Affiliation:

1. Institute of Computing Technology, Chinese Academy of Sciences,The Beijing Key Laboratory of Mobile Computing and Pervasive Device,Beijing,China

2. Nanyang Technologies University,Joint NTU-UBC Research Centre of Excellence in Active Living for the Elderly (LILY),Singapore

3. Capital Medical University,Xuanwu Hospital,Beijing,China

Funder

Research and Development

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10219544/10219545/10220004.pdf?arnumber=10220004

Reference23 articles.

1. Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study

2. Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data

3. Preservation of the global knowledge by not-true distillation in federated learning;lee;Advances in neural information processing systems,2022

4. Crowdsourcing digital health measures to predict Parkinson’s disease severity: the Parkinson’s Disease Digital Biomarker DREAM Challenge

5. The FDA NIH Biomarkers, EndpointS, and other Tools (BEST) resource in neuro-oncology

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Federated Learning of XAI Models in Healthcare: A Case Study on Parkinson’s Disease;Cognitive Computation;2024-08-28

2. Consistent Post-Hoc Explainability in Federated Learning through Federated Fuzzy Clustering;2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE);2024-06-30

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