Structured proxy features for multimodal NSCLC survival prediction from pretreatment CT

Huu Phong Nguyen, Delower Hossain, Ehsan Saghapour, Zhandos Sembay, Jake Y. Chen

Open source

DOI: 10.3389/frai.2026.1865458
Published: 2026-08-28
Container: Frontiers in Artificial Intelligence
Publisher: Frontiers Media SA
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3389/frai.2026.1865458,
  title = {Structured proxy features for multimodal NSCLC survival prediction from pretreatment CT},
  author = {Huu Phong Nguyen and Delower Hossain and Ehsan Saghapour and Zhandos Sembay and Jake Y. Chen},
  year = {2026},
  journal = {Frontiers in Artificial Intelligence},
  doi = {10.3389/frai.2026.1865458},
  url = {https://doi.org/10.3389/frai.2026.1865458}
}

RIS

TY  - JOUR
TI  - Structured proxy features for multimodal NSCLC survival prediction from pretreatment CT
AU  - Huu Phong Nguyen
AU  - Delower Hossain
AU  - Ehsan Saghapour
AU  - Zhandos Sembay
AU  - Jake Y. Chen
PY  - 2026
JO  - Frontiers in Artificial Intelligence
DO  - 10.3389/frai.2026.1865458
UR  - https://doi.org/10.3389/frai.2026.1865458
ER  -

APA

Nguyen, H. P., Hossain, D., Saghapour, E., Sembay, Z., & Chen, J. Y. (2026). Structured proxy features for multimodal NSCLC survival prediction from pretreatment CT. Frontiers in Artificial Intelligence. https://doi.org/10.3389/frai.2026.1865458

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crossref · retrieved 2026-09-25T08:15:22.720Z