MIL-O-PD: a two-stage multiple instance learning and heuristic optimization framework for unpaired multimodal Parkinson's diagnosis.
- DOI
- 10.3389/fnagi.2026.1924167
- Published
- 2026
- Container
- Frontiers in aging neuroscience
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3389/fnagi.2026.1924167,
title = {MIL-O-PD: a two-stage multiple instance learning and heuristic optimization framework for unpaired multimodal Parkinson's diagnosis.},
author = {Bera S and Ijaz MF and Choi J and Singh PK},
year = {2026},
journal = {Frontiers in aging neuroscience},
doi = {10.3389/fnagi.2026.1924167},
url = {https://doi.org/10.3389/fnagi.2026.1924167}
}RIS
TY - JOUR TI - MIL-O-PD: a two-stage multiple instance learning and heuristic optimization framework for unpaired multimodal Parkinson's diagnosis. AU - Bera S AU - Ijaz MF AU - Choi J AU - Singh PK PY - 2026 JO - Frontiers in aging neuroscience DO - 10.3389/fnagi.2026.1924167 UR - https://doi.org/10.3389/fnagi.2026.1924167 ER -
APA
S, B., MF, I., J, C., & PK, S. (2026). MIL-O-PD: a two-stage multiple instance learning and heuristic optimization framework for unpaired multimodal Parkinson's diagnosis.. Frontiers in aging neuroscience. https://doi.org/10.3389/fnagi.2026.1924167