Interpreting Brain Biomarkers: Challenges and solutions in interpreting machine learning-based predictive neuroimaging.
- DOI
- 10.1109/msp.2022.3155951
- Published
- 2022 Jul
- Container
- IEEE signal processing magazine
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1109/msp.2022.3155951,
title = {Interpreting Brain Biomarkers: Challenges and solutions in interpreting machine learning-based predictive neuroimaging.},
author = {Jiang R and Woo CW and Qi S and Wu J and Sui J},
year = {2022},
journal = {IEEE signal processing magazine},
doi = {10.1109/msp.2022.3155951},
url = {https://doi.org/10.1109/msp.2022.3155951}
}RIS
TY - JOUR TI - Interpreting Brain Biomarkers: Challenges and solutions in interpreting machine learning-based predictive neuroimaging. AU - Jiang R AU - Woo CW AU - Qi S AU - Wu J AU - Sui J PY - 2022 JO - IEEE signal processing magazine DO - 10.1109/msp.2022.3155951 UR - https://doi.org/10.1109/msp.2022.3155951 ER -
APA
R, J., CW, W., S, Q., J, W., & J, S. (2022). Interpreting Brain Biomarkers: Challenges and solutions in interpreting machine learning-based predictive neuroimaging.. IEEE signal processing magazine. https://doi.org/10.1109/msp.2022.3155951
Source records
- pubmed · retrieved 2026-09-25T13:25:53.431Z