Sebastiaan Breedveld
Papers
11
Total Citations
207
H-Index
7
About
Sebastiaan Breedveld is a prominent researcher specializing in radiotherapy treatment planning optimization, with particular expertise in robotic radiosurgery, intensity-modulated radiation therapy (IMRT), and automated planning systems. His work has fundamentally advanced the field of computerized treatment planning by developing sophisticated algorithms that optimize both beam angles and intensity profiles with minimal human intervention. Breedveld is perhaps best known for his development of the **iCycle** algorithm, a fully automated multi-criterial optimization system that revolutionized how treatment plans are generated for procedures such as prostate stereotactic body radiation therapy (SBRT). His research consistently tackles critical clinical challenges, including reducing treatment times in robotic radiosurgery, improving dose delivery precision through advanced multi-leaf collimator (MLC) modeling, and minimizing secondary cancer risks in breast irradiation patients. His contributions span over a decade of innovation, from early work on node reduction techniques and collimator efficiency (2011) to more recent developments in total-beam-space beam angle optimization (2022). Collectively, his most-cited publications have accumulated over 200 citations, reflecting their significant influence on clinical practice and computational radiotherapy research. His work stands as an essential reference for researchers and clinicians seeking to harness automation for safer, more precise cancer treatment delivery.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6Fully automated treatment planning for MLC‐based robotic radiotherapy12 citations · 2021
- 7
- 8
- 9
- 10