Hengjie Liu
Papers
2
Total Citations
11
H-Index
2
About
Hengjie Liu is a researcher at the forefront of medical image analysis and radiation oncology, specializing in real-time tumor tracking for stereotactic body radiation therapy (SBRT). His work addresses the critical challenge of accurately localizing tumors that are poorly visible on X-ray images, particularly when traditional fiducial markers are absent. Liu’s major contributions include the development of a zero-shot deep learning framework, "Deep match," which enables robust, fiducial-free respiratory motion tracking—a breakthrough that eliminates the need for invasive marker implantation. This work has garnered early attention, with 8 citations since its 2024 publication, signaling its potential to transform clinical workflows. Additionally, his research on robust localization of poorly visible tumors has earned 3 citations, further underscoring his impact in enhancing treatment precision. Liu’s achievements are notable for their practical focus: by improving motion tracking accuracy without requiring additional hardware or patient preparation, his methods promise to make SBRT safer and more accessible. As a rising voice in medical physics, Liu is shaping the next generation of adaptive radiotherapy.
Research Focus
Key Achievements
Top Papers
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