Papers
9
Total Citations
229
H-Index
5
About
Dr. Youchun Ma is a leading researcher in the field of vascular interventional surgery robotics, with a primary focus on developing intelligent, autonomous systems for minimally invasive endovascular procedures. His work centers on the integration of deep learning, particularly Convolutional Neural Networks (CNNs), to enhance surgical perception, skill assessment, and robot control. Dr. Ma’s most significant contributions include the creation of a CNN-based prototype for unstructured surgical state perception and navigation, which has garnered 88 citations, and the development of machine learning models for objective operation skills assessment using a novel “Vascular Difficulty Index” (48 citations). He has also pioneered non-contact detection methods for surgeon operation in master-slave robotic systems (46 citations), enabling safer, non-interference interaction. His research further extends to force and torque identification, collaborative clamping devices, and irregular motion recognition of guidewires, all aimed at improving the precision and safety of vascular interventions. Through his highly cited work, Dr. Ma is advancing the next generation of surgical robots that can learn from expert surgeons, assess procedural difficulty, and ultimately assist in treating cardiovascular and cerebrovascular diseases with greater accuracy and reduced patient risk.
Research Focus
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Top Papers
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