A review of explainable and interpretable AI with applications in COVID‐19 imaging

Jordan D. Fuhrman, Naveena Gorre, Qiyuan Hu, Hui Li, Issam El Naqa, Maryellen L. Giger

Open source

DOI: 10.1002/mp.15359
Published: 2021-12-07
Container: Medical Physics
Publisher: Wiley
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1002/mp.15359,
  title = {A review of explainable and interpretable AI with applications in COVID‐19 imaging},
  author = {Jordan D. Fuhrman and Naveena Gorre and Qiyuan Hu and Hui Li and Issam El Naqa and Maryellen L. Giger},
  year = {2021},
  journal = {Medical Physics},
  doi = {10.1002/mp.15359},
  url = {https://doi.org/10.1002/mp.15359}
}

RIS

TY  - JOUR
TI  - A review of explainable and interpretable AI with applications in COVID‐19 imaging
AU  - Jordan D. Fuhrman
AU  - Naveena Gorre
AU  - Qiyuan Hu
AU  - Hui Li
AU  - Issam El Naqa
AU  - Maryellen L. Giger
PY  - 2021
JO  - Medical Physics
DO  - 10.1002/mp.15359
UR  - https://doi.org/10.1002/mp.15359
ER  -

APA

Fuhrman, J. D., Gorre, N., Hu, Q., Li, H., Naqa, I. E., & Giger, M. L. (2021). A review of explainable and interpretable AI with applications in COVID‐19 imaging. Medical Physics. https://doi.org/10.1002/mp.15359

Source records

crossref · retrieved 2026-09-27T02:37:50.940Z