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About

Jiulong Lan is a pioneering researcher in the field of medical robotics and autonomous ultrasound imaging systems, whose work sits at the compelling intersection of computer vision, robotic automation, and clinical diagnostics. Lan's most significant contributions center on developing intelligent robotic systems capable of performing precise, fully automated three-dimensional ultrasound scanning — a breakthrough that addresses longstanding challenges of operator dependency and inconsistency in conventional medical imaging. His landmark 2018 paper, "Robotic Arm Based Automatic Ultrasound Scanning for Three-Dimensional Imaging," has amassed an impressive 223 citations, demonstrating the field's enthusiastic reception of his human skin-inspired approach, which cleverly integrates depth camera technology to map surface contours and guide probe trajectories. A companion study published the same year, proposing a fully automatic 3D ultrasound scanning system, has gathered over 100 citations, further cementing his reputation as a leader in this space. Lan's subsequent work on six-degree-of-freedom robotic prosthetic arms extends his innovations into remote-controlled diagnostic applications, broadening the clinical relevance of his research. For students and researchers exploring medical robotics, autonomous imaging, or human-robot interaction in healthcare settings, Lan's portfolio offers essential foundational and applied insights.