Ghahremani, Parmida, Li, Yanyun, Kaufman, Arie, Vanguri, Rami, Greenwald, Noah, Angelo, Michael, Hollmann, Travis J., and Nadeem, Saad. Deep learning-inferred multiplex immunofluorescence for immunohistochemical image quantification. Retrieved from https://par.nsf.gov/biblio/10350256. Nature Machine Intelligence 4.4 Web. doi:10.1038/s42256-022-00471-x.

Ghahremani, Parmida, Li, Yanyun, Kaufman, Arie, Vanguri, Rami, Greenwald, Noah, Angelo, Michael, Hollmann, Travis J., & Nadeem, Saad. Deep learning-inferred multiplex immunofluorescence for immunohistochemical image quantification. Nature Machine Intelligence, 4 (4). Retrieved from https://par.nsf.gov/biblio/10350256. https://doi.org/10.1038/s42256-022-00471-x

Ghahremani, Parmida, Li, Yanyun, Kaufman, Arie, Vanguri, Rami, Greenwald, Noah, Angelo, Michael, Hollmann, Travis J., and Nadeem, Saad. "Deep learning-inferred multiplex immunofluorescence for immunohistochemical image quantification". Nature Machine Intelligence 4 (4). Country unknown/Code not available. https://doi.org/10.1038/s42256-022-00471-x. https://par.nsf.gov/biblio/10350256.

@article{osti_10350256,
place = {Country unknown/Code not available}, title = {Deep learning-inferred multiplex immunofluorescence for immunohistochemical image quantification}, url = {https://par.nsf.gov/biblio/10350256}, DOI = {10.1038/s42256-022-00471-x}, abstractNote = {}, journal = {Nature Machine Intelligence}, volume = {4}, number = {4}, author = {Ghahremani, Parmida and Li, Yanyun and Kaufman, Arie and Vanguri, Rami and Greenwald, Noah and Angelo, Michael and Hollmann, Travis J. and Nadeem, Saad}, }