APA   Click to copy
Slavkova, K., Doiphode, N., Zou, C., Nguyen, A. A.-T., Sharma, A., McCarthy, A. M., & Kontos, D. (2024). Sat2Nu: a modular deep learning pipeline for converting fat-suppressed breast MRIs to nonfat-suppressed images with foreseeable applications in abbreviated breast MRI. In 17th International Workshop on Breast Imaging (p. 1317416). SPIE. https://doi.org/10.1117/12.3027028

Chicago/Turabian   Click to copy
Slavkova, Kalina, Nehal Doiphode, Chunrui Zou, Alex Anh-Tu Nguyen, Arunima Sharma, Anne Marie McCarthy, and Despina Kontos. “Sat2Nu: a Modular Deep Learning Pipeline for Converting Fat-Suppressed Breast MRIs to Nonfat-Suppressed Images with Foreseeable Applications in Abbreviated Breast MRI.” In 17th International Workshop on Breast Imaging, 1317416. 1317416. SPIE, 2024.

MLA   Click to copy
Slavkova, Kalina, et al. “Sat2Nu: a Modular Deep Learning Pipeline for Converting Fat-Suppressed Breast MRIs to Nonfat-Suppressed Images with Foreseeable Applications in Abbreviated Breast MRI.” 17th International Workshop on Breast Imaging, SPIE, 2024, p. 1317416, doi:10.1117/12.3027028.

@inproceedings{kalina2024a,
  title = {Sat2Nu: a modular deep learning pipeline for converting fat-suppressed breast MRIs to nonfat-suppressed images with foreseeable applications in abbreviated breast MRI.},
  year = {2024},
  month = may,
  day = {29},
  journal = {17th International Workshop on Breast Imaging},
  organization = {SPIE},
  pages = {1317416},
  series = {1317416},
  doi = {10.1117/12.3027028},
  author = {Slavkova, Kalina and Doiphode, Nehal and Zou, Chunrui and Nguyen, Alex Anh-Tu and Sharma, Arunima and McCarthy, Anne Marie and Kontos, Despina},
  month_numeric = {5}
}