output
20202025
most citedProbabilistic dose prediction using mixture density networks for automated radiation therapy treatment planning

15 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★ 15 cited

Probabilistic dose prediction using mixture density networks for automated radiation therapy treatment planning

Viktor Nilsson, Hanna Gruselius, Tianfang Zhang +2

We demonstrate the application of mixture density networks (MDNs) in the context of automated radiation therapy treatment planning. It is shown that an MDN can produce good predict…