output
20182026
most citedDeep learning reconstruction of digital breast tomosynthesis images for accurate breast density and patient-specific radiation dose estimation

41 citations

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Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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physics.med-ph2020★ 41 cited

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…

physics.med-ph2018★ 1 cited

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…