Bas Schipaanboord

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About

Bas Schipaanboord is a radiotherapy treatment planning researcher whose work sits at the intersection of medical physics, optimization algorithms, and clinical automation. His research focuses primarily on automating and improving intensity-modulated radiotherapy (IMRT) planning, with particular emphasis on beam angle optimization (BAO) and multi-leaf collimator (MLC)-based delivery for robotic radiotherapy systems. Schipaanboord's most significant contributions center on removing manual bottlenecks from the treatment planning workflow. His fully automated planning framework, which integrates noncoplanar beam angle optimization with prioritized multicriteria optimization of pencil-beam fluence maps, demonstrated that high-quality robotic radiotherapy plans could be generated without human intervention — a meaningful step toward consistent, scalable clinical workflows. His subsequent TBS-BAO method offered a novel solution to the notoriously difficult, non-convex beam angle optimization problem by leveraging a total-beam-space reference plan as a guiding framework. He has also contributed to improving dosimetric accuracy in MLC segment generation, accounting for real-world radiation scatter and collimator effects that simpler models overlook. With citations accumulating across journals in medical physics and radiation oncology, Schipaanboord's research addresses practical challenges that directly affect treatment quality for cancer patients, making his work relevant to both clinicians and computational researchers advancing automated radiotherapy planning.