Maud Marguet

University of Lausanne

Papers

2

Total Citations

38

H-Index

2

About

Maud Marguet is a leading medical physicist whose research centers on advancing stereotactic radiosurgery (SRS) and stereotactic body radiotherapy (SBRT) through novel treatment planning optimization. Her most impactful contribution is the development and clinical validation of the VOLO™ algorithm, a groundbreaking inverse planning optimization method for robotic radiosurgery. In her landmark 2019 study (33 citations), she demonstrated that VOLO™ significantly outperforms the previous Sequential Optimization (SO) algorithm across diverse SRS/SBRT cases—including brain, spine, and prostate treatments—by achieving superior dose conformity and faster planning times. This work directly improved clinical efficiency and patient outcomes in radiosurgery. Marguet has also contributed to the nuanced understanding of vestibular schwannoma management, co-authoring a 2017 letter in *Neurosurgery* that argued cystic vestibular schwannomas respond best to radiosurgery, adding critical insight to a long-standing clinical debate. Her research bridges computational physics and clinical oncology, with her optimization algorithm now implemented in the Precision™ treatment planning system, impacting radiosurgery practices worldwide. Marguet’s work exemplifies how algorithm innovation can translate directly into tangible improvements in cancer care delivery.

Research Focus

Key Achievements

2
H-Index
2
Papers
38
Total Citations
19
Avg Citations/Paper
🏆 Most Cited Paper
Novel inverse planning optimization algorithm for robotic radiosurgery: First clinical implementation and dosimetric evaluation
33 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: University of Lausanne

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago