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

15 citations

researchers with a paper here

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

collaborating institutions

4 papers

physics.med-ph2025★ 2 cited

Partitioning of multiple brain metastases improves dose gradients in single-isocenter radiosurgery

Johan Sundström, Anton Finnson, Elin Hynning +2

Background: A growing number of cancer patients with brain metastases can benefit from stereotactic radiosurgery (SRS) thanks to recent advances in systemic therapies. With an incr…

physics.med-ph2023★ 6 cited

An innovative dose rate independent 2D Ce-doped YAG scintillating dosimetry system for time resolved beam monitoring in ultra-high dose rate electron FLASH radiation therapy

Verdi Vanreusel, Sophie Heinrich, Thomas De Kerf +6

FLASH-RT has proven beneficial in preclinical studies. However, the lack of accurate real time 2D dosimetry is a limiting factor. In this work, an innovative solution for 2D real t…

physics.med-ph2023★ 12 cited

Optically stimulated luminescence system as an alternative for radiochromic film for 2D reference dosimetry in UHDR electron beams

Verdi Vanreusel, Alessia Gasparini, Federica Galante +11

Radiotherapy is part of the treatment of over 50% of cancer patients. Its efficacy is limited by the radiotoxicity to the healthy tissue. FLASH-RT is based on the biological effect…

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…