Sebastiaan Breedveld

Dr. Sebastiaan Breedveld is an Associate Professor in the Department of Radiotherapy at Erasmus MC, a leading medical institution in the Netherlands. His work bridges medical physics, radiation oncology, and artificial intelligence, with a strong focus on improving cancer treatment through advanced radiotherapy techniques.

Research Interests: His primary research areas include proton therapy, intensity-modulated radiation therapy (IMRT), automated treatment planning, and the application of deep learning in dose prediction and plan optimization. He is particularly interested in making adaptive radiotherapy more efficient and clinically feasible, especially for complex cases such as head and neck and oropharyngeal cancers.

The recent trend in his publications shows a strong shift toward automation and AI-driven solutions in radiotherapy, aiming to reduce planning time while maintaining high dosimetric quality. His work integrates machine learning models for instantaneous dose prediction, robustness evaluation, and beam angle optimization, significantly advancing the field of intelligent treatment planning.

Supervision & Collaboration: He has supervised multiple academic projects, including doctoral theses, and collaborates extensively with researchers in medical physics and oncology. His network spans national and international institutions, focusing on innovation in clinical radiotherapy workflows.

Laboratory & Team: While not explicitly mentioned, his involvement in projects like 'iCycle-pBAO' and deep learning dose prediction suggests he is part of or leads a research team focused on algorithm development and clinical translation within the Radiotherapy department at Erasmus MC.