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

15 citations · 15 across the 2 of their papers we have counts for

collaborators

2 papers

math.OC2023

Automated Radiation Therapy Patient Scheduling: A Case Study at a Belgian Hospital

Sara Frimodig, Carole Mercier, Geert De Kerf

The predicted increase in the number of patients receiving radiation therapy (RT) to treat cancer calls for an optimized use of resources. To manually schedule patients on the line…

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…