Quan Chen

About

Quan Chen is a researcher whose work bridges medical physics and computational imaging, with key contributions in radiotherapy safety and non-line-of-sight (NLOS) imaging. In medical physics, Chen has been a leading advocate for automating radiotherapy chart checks, arguing that computer automation should replace manual processes in clinical settings. Their 2021 paper on this topic, which builds on the foundational AAPM Task Group 40 report, has garnered 8 citations and underscores a critical shift toward efficiency and error reduction in cancer treatment. In computational imaging, Chen has advanced NLOS reconstruction—a technique for imaging objects hidden around corners—by introducing structure sparsity regularization to overcome low signal-to-noise challenges. Their 2023 work in this area, with 5 citations, holds promise for autonomous driving, robotic vision, and security monitoring. Chen’s dual focus on practical clinical improvements and cutting-edge imaging technologies demonstrates a commitment to translating complex physics into real-world impact, making their research both timely and transformative for students and professionals in medical physics and optics.

Research Focus

Key Achievements

Top Papers

1. 1
   Computer automation for physics chart check should be adopted in clinic to replace manual chart checking for radiotherapy

   8 citations · 2021
2. 2
   Non-line-of-sight reconstruction via structure sparsity regularization

   5 citations · 2023

Key Collaborators

Contact & Links