An Orchestration Platform that Puts Radiologists in the Driver’s Seat of AI Innovation: a Methodological Approach

Raphael Y. Cohen, Aaron D. Sodickson

Open source

DOI: 10.1007/s10278-022-00649-0
Published: 2022-11-23
Container: Journal of Digital Imaging
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/s10278-022-00649-0,
  title = {An Orchestration Platform that Puts Radiologists in the Driver’s Seat of AI Innovation: a Methodological Approach},
  author = {Raphael Y. Cohen and Aaron D. Sodickson},
  year = {2022},
  journal = {Journal of Digital Imaging},
  doi = {10.1007/s10278-022-00649-0},
  url = {https://doi.org/10.1007/s10278-022-00649-0}
}

RIS

TY  - JOUR
TI  - An Orchestration Platform that Puts Radiologists in the Driver’s Seat of AI Innovation: a Methodological Approach
AU  - Raphael Y. Cohen
AU  - Aaron D. Sodickson
PY  - 2022
JO  - Journal of Digital Imaging
DO  - 10.1007/s10278-022-00649-0
UR  - https://doi.org/10.1007/s10278-022-00649-0
ER  -

APA

Cohen, R. Y., & Sodickson, A. D. (2022). An Orchestration Platform that Puts Radiologists in the Driver’s Seat of AI Innovation: a Methodological Approach. Journal of Digital Imaging. https://doi.org/10.1007/s10278-022-00649-0

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crossref · retrieved 2026-09-25T10:12:18.314Z