Deep Learning for Survival Prediction in Glioblastoma: Time-dependent Model Interpretability Using MRI, Clinical, and Molecular Data.
- DOI
- 10.1148/ryai.250675
- Published
- 2026 May
- Container
- Radiology. Artificial intelligence
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1148/ryai.250675,
title = {Deep Learning for Survival Prediction in Glioblastoma: Time-dependent Model Interpretability Using MRI, Clinical, and Molecular Data.},
author = {Lee J and Jeon YH and Jang J and Eum H and Kim M and Park SH and Park CK and Choi SH and Ahn SS and Choi KS},
year = {2026},
journal = {Radiology. Artificial intelligence},
doi = {10.1148/ryai.250675},
url = {https://doi.org/10.1148/ryai.250675}
}RIS
TY - JOUR TI - Deep Learning for Survival Prediction in Glioblastoma: Time-dependent Model Interpretability Using MRI, Clinical, and Molecular Data. AU - Lee J AU - Jeon YH AU - Jang J AU - Eum H AU - Kim M AU - Park SH AU - Park CK AU - Choi SH AU - Ahn SS AU - Choi KS PY - 2026 JO - Radiology. Artificial intelligence DO - 10.1148/ryai.250675 UR - https://doi.org/10.1148/ryai.250675 ER -
APA
J, L., YH, J., J, J., H, E., M, K., SH, P., CK, P., SH, C., SS, A., & KS, C. (2026). Deep Learning for Survival Prediction in Glioblastoma: Time-dependent Model Interpretability Using MRI, Clinical, and Molecular Data.. Radiology. Artificial intelligence. https://doi.org/10.1148/ryai.250675
Source records
- pubmed · retrieved 2026-09-26T11:22:22.623Z