41 citations · 43 across the 3 of their papers we have counts for
3 papers
Deep Learning-based Initialization of Iterative Reconstruction for Breast Tomosynthesis
Koen Michielsen, Nikita Moriakov, Jonas Teuwen +1
Reconstruction of digital breast tomosynthesis is a challenging problem due to the limited angle data available in such systems. Due to memory limitations, deep learning-based meth…
Deep learning reconstruction of digital breast tomosynthesis images for accurate breast density and patient-specific radiation dose estimation
Jonas Teuwen, Nikita Moriakov, Christian Fedon +7
The two-dimensional nature of mammography makes estimation of the overall breast density challenging, and estimation of the true patient-specific radiation dose impossible. Digital…
Deep Learning Framework for Digital Breast Tomosynthesis Reconstruction
Nikita Moriakov, Koen Michielsen, Jonas Adler +3
Digital breast tomosynthesis is rapidly replacing digital mammography as the basic x-ray technique for evaluation of the breasts. However, the sparse sampling and limited angular r…