Next-Generation Radiogenomics Sequencing for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients Using Multimodal Imaging and Machine Learning Algorithms.

Shiri I, Maleki H, Hajianfar G, Abdollahi H, Ashrafinia S, Hatt M, Zaidi H, Oveisi M, Rahmim A

Open source

DOI
10.1007/s11307-020-01487-8
Published
2020 Aug
Container
Molecular imaging and biology
Publisher
Not recorded
Open access
unknown

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BibTeX

@article{allodium:10.1007/s11307-020-01487-8,
  title = {Next-Generation Radiogenomics Sequencing for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients Using Multimodal Imaging and Machine Learning Algorithms.},
  author = {Shiri I and Maleki H and Hajianfar G and Abdollahi H and Ashrafinia S and Hatt M and Zaidi H and Oveisi M and Rahmim A},
  year = {2020},
  journal = {Molecular imaging and biology},
  doi = {10.1007/s11307-020-01487-8},
  url = {https://doi.org/10.1007/s11307-020-01487-8}
}

RIS

TY  - JOUR
TI  - Next-Generation Radiogenomics Sequencing for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients Using Multimodal Imaging and Machine Learning Algorithms.
AU  - Shiri I
AU  - Maleki H
AU  - Hajianfar G
AU  - Abdollahi H
AU  - Ashrafinia S
AU  - Hatt M
AU  - Zaidi H
AU  - Oveisi M
AU  - Rahmim A
PY  - 2020
JO  - Molecular imaging and biology
DO  - 10.1007/s11307-020-01487-8
UR  - https://doi.org/10.1007/s11307-020-01487-8
ER  - 

APA

I, S., H, M., G, H., H, A., S, A., M, H., H, Z., M, O., & A, R. (2020). Next-Generation Radiogenomics Sequencing for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients Using Multimodal Imaging and Machine Learning Algorithms.. Molecular imaging and biology. https://doi.org/10.1007/s11307-020-01487-8

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