Marco A. F. Pimentel
Papers
1
Total Citations
5
H-Index
1
About
Marco A. F. Pimentel is a leading researcher in biomedical signal processing and machine learning, with a particular focus on advancing respiratory motion management in robotic radiotherapy. His work addresses a critical challenge in cancer treatment: compensating for tumor motion caused by breathing during extracranial radiotherapy. Pimentel’s major contribution lies in developing a unified framework that integrates prediction and correlation models—two traditionally separate components—using multi-task Gaussian Processes. This approach simultaneously predicts respiratory motion to offset system latencies and correlates external marker signals with internal tumor position, enabling more precise real-time adaptation. His 2014 paper on this topic, which has garnered 5 citations, demonstrates the elegance of his methodology in simplifying complex clinical workflows. While his citation count reflects the niche, specialized nature of his research, its impact is profound for practitioners seeking to improve treatment accuracy. Pimentel’s work exemplifies how advanced statistical learning can bridge the gap between theoretical modeling and practical clinical application, offering a streamlined solution that enhances the safety and efficacy of robotic radiosurgery.
Research Focus
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Top Papers
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