Deep Learning-Based Multimodal Fusion of Whole-Slide Images and RNA Sequencing Identifies Survival-Relevant Glioblastoma Clusters.

Zadeh Shirazi A, Gomez GA

DOI: 10.1002/cam4.72182
Published: 2026 Aug
Container: Cancer medicine
Publisher: Not recorded
Open access: yes

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BibTeX

@article{allodium:10.1002/cam4.72182,
  title = {Deep Learning-Based Multimodal Fusion of Whole-Slide Images and RNA Sequencing Identifies Survival-Relevant Glioblastoma Clusters.},
  author = {Zadeh Shirazi A and Gomez GA},
  year = {2026},
  journal = {Cancer medicine},
  doi = {10.1002/cam4.72182},
  url = {https://doi.org/10.1002/cam4.72182}
}

RIS

TY  - JOUR
TI  - Deep Learning-Based Multimodal Fusion of Whole-Slide Images and RNA Sequencing Identifies Survival-Relevant Glioblastoma Clusters.
AU  - Zadeh Shirazi A
AU  - Gomez GA
PY  - 2026
JO  - Cancer medicine
DO  - 10.1002/cam4.72182
UR  - https://doi.org/10.1002/cam4.72182
ER  -

APA

A, Z. S., & GA, G. (2026). Deep Learning-Based Multimodal Fusion of Whole-Slide Images and RNA Sequencing Identifies Survival-Relevant Glioblastoma Clusters.. Cancer medicine. https://doi.org/10.1002/cam4.72182

Source records

pubmed · retrieved 2026-09-26T06:23:57.315Z