Papers
4
Total Citations
37
H-Index
3
About
Yejiong Shi is a pioneering researcher at the intersection of biomedical optics and robotic systems, whose work is transforming intraoperative imaging and forensic science. His primary research areas include optical coherence tomography angiography (OCTA), robotic-assisted imaging, and autonomous detection systems. Shi’s major contributions center on developing robotic OCT platforms that overcome traditional limitations in imaging depth, field of view, and focus tracking. His landmark 2022 paper on “Whole Brain Micro-Vascular Imaging Using Robot Assisted Optical Coherence Tomography Angiography” (23 citations) introduced a robotic arm that dynamically adjusts to irregular sample surfaces, enabling high-resolution, large-field microvascular imaging. This work laid the foundation for his groundbreaking 2025 study on “Intraoperative Fast Adaptive Focus Tracking Robotic OCT” (7 citations), which achieved real-time tumor grading and large-area microvascular imaging during human spinal cord surgery—a first in the field. Shi also innovated forensic science with his 2024 paper on “Rapid, autonomous and ultra-large-area detection of latent fingerprints using object-driven OCT” (7 citations), demonstrating depth-resolved, autonomous fingerprint detection over extensive areas. With a growing citation impact and a clear trajectory toward clinical translation, Shi is establishing himself as a leader in robotic biomedical imaging.
Research Focus
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Top Papers
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