Multimodal MRI Radiomics and Machine Learning Identify Node-Level Structural and Functional Alterations in HIV-Associated Asymptomatic Neurocognitive Impairment.
- DOI
- 10.2147/ndt.s630533
- Published
- 2026-09-11
- Container
- Neuropsychiatr Dis Treat
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.2147/ndt.s630533,
title = {Multimodal MRI Radiomics and Machine Learning Identify Node-Level Structural and Functional Alterations in HIV-Associated Asymptomatic Neurocognitive Impairment.},
author = {Tian T and Zhou Z and Xu Q and Shi Y and Zhao L and Wang W.},
year = {2026},
journal = {Neuropsychiatr Dis Treat},
doi = {10.2147/ndt.s630533},
url = {https://doi.org/10.2147/ndt.s630533}
}RIS
TY - JOUR TI - Multimodal MRI Radiomics and Machine Learning Identify Node-Level Structural and Functional Alterations in HIV-Associated Asymptomatic Neurocognitive Impairment. AU - Tian T AU - Zhou Z AU - Xu Q AU - Shi Y AU - Zhao L AU - Wang W. PY - 2026 JO - Neuropsychiatr Dis Treat DO - 10.2147/ndt.s630533 UR - https://doi.org/10.2147/ndt.s630533 ER -
APA
T, T., Z, Z., Q, X., Y, S., L, Z., & W., W. (2026). Multimodal MRI Radiomics and Machine Learning Identify Node-Level Structural and Functional Alterations in HIV-Associated Asymptomatic Neurocognitive Impairment.. Neuropsychiatr Dis Treat. https://doi.org/10.2147/ndt.s630533
Source records
- europe-pmc · retrieved 2026-09-25T04:12:32.164Z