AI-driven radiomics and radiogenomics: supporting the assessment and differentiation of pseudoprogression in cellular immunotherapy for glioblastoma

Yihua Han, Wenjing Li, Yanji Jin, Songbiao Cui, Guanghui Dong

Open source

DOI: 10.3389/fimmu.2026.1920605
Published: 2026-09-02
Container: Frontiers in Immunology
Publisher: Frontiers Media SA
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3389/fimmu.2026.1920605,
  title = {AI-driven radiomics and radiogenomics: supporting the assessment and differentiation of pseudoprogression in cellular immunotherapy for glioblastoma},
  author = {Yihua Han and Wenjing Li and Yanji Jin and Songbiao Cui and Guanghui Dong},
  year = {2026},
  journal = {Frontiers in Immunology},
  doi = {10.3389/fimmu.2026.1920605},
  url = {https://doi.org/10.3389/fimmu.2026.1920605}
}

RIS

TY  - JOUR
TI  - AI-driven radiomics and radiogenomics: supporting the assessment and differentiation of pseudoprogression in cellular immunotherapy for glioblastoma
AU  - Yihua Han
AU  - Wenjing Li
AU  - Yanji Jin
AU  - Songbiao Cui
AU  - Guanghui Dong
PY  - 2026
JO  - Frontiers in Immunology
DO  - 10.3389/fimmu.2026.1920605
UR  - https://doi.org/10.3389/fimmu.2026.1920605
ER  -

APA

Han, Y., Li, W., Jin, Y., Cui, S., & Dong, G. (2026). AI-driven radiomics and radiogenomics: supporting the assessment and differentiation of pseudoprogression in cellular immunotherapy for glioblastoma. Frontiers in Immunology. https://doi.org/10.3389/fimmu.2026.1920605

Source records

crossref · retrieved 2026-09-25T14:38:54.184Z