Identifying hepatocellular carcinoma patients at risk of early non-response after first-cycle transarterial chemoembolization: A reproducible machine learning study.

Wu C, Cheng Y, Pettyjohn E, Patel R, Kuyn J, Meruga SA, Kang Z, Pettyjohn S

Open source

DOI
10.1016/j.clinimag.2026.110872
Published
2026 Sep
Container
Clinical imaging
Publisher
Not recorded
Open access
unknown

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BibTeX

@article{allodium:10.1016/j.clinimag.2026.110872,
  title = {Identifying hepatocellular carcinoma patients at risk of early non-response after first-cycle transarterial chemoembolization: A reproducible machine learning study.},
  author = {Wu C and Cheng Y and Pettyjohn E and Patel R and Kuyn J and Meruga SA and Kang Z and Pettyjohn S},
  year = {2026},
  journal = {Clinical imaging},
  doi = {10.1016/j.clinimag.2026.110872},
  url = {https://doi.org/10.1016/j.clinimag.2026.110872}
}

RIS

TY  - JOUR
TI  - Identifying hepatocellular carcinoma patients at risk of early non-response after first-cycle transarterial chemoembolization: A reproducible machine learning study.
AU  - Wu C
AU  - Cheng Y
AU  - Pettyjohn E
AU  - Patel R
AU  - Kuyn J
AU  - Meruga SA
AU  - Kang Z
AU  - Pettyjohn S
PY  - 2026
JO  - Clinical imaging
DO  - 10.1016/j.clinimag.2026.110872
UR  - https://doi.org/10.1016/j.clinimag.2026.110872
ER  - 

APA

C, W., Y, C., E, P., R, P., J, K., SA, M., Z, K., & S, P. (2026). Identifying hepatocellular carcinoma patients at risk of early non-response after first-cycle transarterial chemoembolization: A reproducible machine learning study.. Clinical imaging. https://doi.org/10.1016/j.clinimag.2026.110872

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