Predicting Overall Survival of NSCLC Patients with Clinical, Radiomics and Deep Learning Features.

Kanakarajan H, Zhou J, Gomes AL, Kalendralis P, Liang W, Tohidinezhad F, Dekker A, De Baene W, Sitskoorn M

Open source

DOI
10.1007/s10278-025-01828-5
Published
2026 Jan 13
Container
Journal of imaging informatics in medicine
Publisher
Not recorded
Open access
unknown

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BibTeX

@article{allodium:10.1007/s10278-025-01828-5,
  title = {Predicting Overall Survival of NSCLC Patients with Clinical, Radiomics and Deep Learning Features.},
  author = {Kanakarajan H and Zhou J and Gomes AL and Kalendralis P and Liang W and Tohidinezhad F and Dekker A and De Baene W and Sitskoorn M},
  year = {2026},
  journal = {Journal of imaging informatics in medicine},
  doi = {10.1007/s10278-025-01828-5},
  url = {https://doi.org/10.1007/s10278-025-01828-5}
}

RIS

TY  - JOUR
TI  - Predicting Overall Survival of NSCLC Patients with Clinical, Radiomics and Deep Learning Features.
AU  - Kanakarajan H
AU  - Zhou J
AU  - Gomes AL
AU  - Kalendralis P
AU  - Liang W
AU  - Tohidinezhad F
AU  - Dekker A
AU  - De Baene W
AU  - Sitskoorn M
PY  - 2026
JO  - Journal of imaging informatics in medicine
DO  - 10.1007/s10278-025-01828-5
UR  - https://doi.org/10.1007/s10278-025-01828-5
ER  - 

APA

H, K., J, Z., AL, G., P, K., W, L., F, T., A, D., W, D. B., & M, S. (2026). Predicting Overall Survival of NSCLC Patients with Clinical, Radiomics and Deep Learning Features.. Journal of imaging informatics in medicine. https://doi.org/10.1007/s10278-025-01828-5

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