A deep learning framework for efficient analysis of breast volume and fibroglandular tissue using MR data with strong artifacts

Tatyana Ivanovska, Thomas G. Jentschke, Amro Daboul, Katrin Hegenscheid, Henry Völzke, Florentin Wörgötter. A deep learning framework for efficient analysis of breast volume and fibroglandular tissue using MR data with strong artifacts. Int. J. Computer Assisted Radiology and Surgery, 14(10):1627-1633, 2019. [doi]

@article{IvanovskaJDHVW19,
  title = {A deep learning framework for efficient analysis of breast volume and fibroglandular tissue using MR data with strong artifacts},
  author = {Tatyana Ivanovska and Thomas G. Jentschke and Amro Daboul and Katrin Hegenscheid and Henry Völzke and Florentin Wörgötter},
  year = {2019},
  doi = {10.1007/s11548-019-01928-y},
  url = {https://doi.org/10.1007/s11548-019-01928-y},
  researchr = {https://researchr.org/publication/IvanovskaJDHVW19},
  cites = {0},
  citedby = {0},
  journal = {Int. J. Computer Assisted Radiology and Surgery},
  volume = {14},
  number = {10},
  pages = {1627-1633},
}