Qinglei Zhang
Papers
3
Total Citations
104
H-Index
2
About
Qinglei Zhang is a researcher whose work bridges medical imaging and robotic automation, demonstrating a rare versatility across two demanding fields. In medical diagnostics, Zhang made a significant contribution to prostate cancer management with a highly cited 2017 study comparing 68Ga-PSMA-11 PET-CT with multiparametric MRI for preoperative lymph node staging. This work, which has garnered 96 citations, provided critical insights into improving the accuracy of detecting lymph node metastases in intermediate- to high-risk prostate cancer patients, directly impacting surgical planning and patient outcomes. More recently, Zhang has advanced industrial robotics with innovative approaches to perception and motion planning. A 2024 paper on 6D pose estimation using point cloud geometric information addresses the challenge of robotic grasping in disordered environments, where lighting and sensor noise often degrade performance. This work, already accumulating 7 citations, offers a robust solution for industrial automation. Complementing this, a 2025 study introduces a SAC-Bi-RRT two-layer real-time motion planning framework for robot assembly in unstructured settings, tackling the critical problem of safe, dynamic obstacle avoidance. With 1 citation to date, this emerging work signals Zhang's ongoing commitment to enabling reliable robotic manipulation in complex, real-world scenarios.
Research Focus
Key Achievements
Top Papers
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