Sweta Banerjee

Research Assistant



Hochschule Flensburg

Kanzleistraße 91-93, 24943 Flensburg, Germany



EfficientBioAI: Making Bioimaging AI Models Efficient in Energy, Latency and Representation


Preprint


Yu Zhou, Justin Sonneck, Sweta Banerjee, Stefanie Dörr, Anika Grüneboom, Kristina Lorenz, Jianxu Chen
ArXiv, 2023


Cite

Cite

APA   Click to copy
Zhou, Y., Sonneck, J., Banerjee, S., Dörr, S., Grüneboom, A., Lorenz, K., & Chen, J. (2023). EfficientBioAI: Making Bioimaging AI Models Efficient in Energy, Latency and Representation. ArXiv. https://doi.org/10.48550/arXiv.2306.06152


Chicago/Turabian   Click to copy
Zhou, Yu, Justin Sonneck, Sweta Banerjee, Stefanie Dörr, Anika Grüneboom, Kristina Lorenz, and Jianxu Chen. “EfficientBioAI: Making Bioimaging AI Models Efficient in Energy, Latency and Representation.” ArXiv (December 2023).


MLA   Click to copy
Zhou, Yu, et al. “EfficientBioAI: Making Bioimaging AI Models Efficient in Energy, Latency and Representation.” ArXiv, Dec. 2023, doi:10.48550/arXiv.2306.06152.


BibTeX   Click to copy

@article{yu2023a,
  title = {EfficientBioAI: Making Bioimaging AI Models Efficient in Energy, Latency and Representation},
  year = {2023},
  month = dec,
  journal = {ArXiv},
  doi = {10.48550/arXiv.2306.06152},
  author = {Zhou, Yu and Sonneck, Justin and Banerjee, Sweta and Dörr, Stefanie and Grüneboom, Anika and Lorenz, Kristina and Chen, Jianxu},
  month_numeric = {12}
}


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