ย Dr. Yunxian Zhang | Biomedical Engineering | Young Scientist Award

 

๐ŸŒŸ Profile Summary

In the realms of medical artificial intelligence, medical image processing, and intelligent planning for robot-assisted surgery, I have cultivated profound expertise through extensive research and practical experience. My commitment to excellence and aptitude for solving complex problems define my scientific endeavors. My focus on machine learning principles and their application in medical diagnostics, coupled with skills in handling intricate medical images, underscores my dedication to advancing healthcare technologies.

 

๐ŸŒ Professional Profiles

๐ŸŒ Specialties and Skills

Artificial intelligence technology, Medical image processing, Medical imaging, Imagingomics analysis, Medical imaging equipment, Bioinformatics analysis

๐Ÿ“… Selected Recent Conference Presentations

2023 Medical Physics Youth Paper Report Conference, China, Dec. 25, 2023. 2021 Global Digital Economy Conference, China, Aug. 2-3, 2021. IEEE International Conference on Medical Imaging Physics and Engineering, China, Nov. 12-14, 2021. International Symposium on Image Computing and Digital Medicine, China, Dec. 6, 2020.

๐Ÿ“š Educational Background

Ph.D., Biomedical Engineering, Capital Medical University, 2023 Study Area: Surgical robotics, Medical imaging, and medical AI. M.S., Biomedical Engineering, Capital Medical University, 2020 Study Area: Bio-informatics, medical AI.ย B.S., Biomedical Engineering, Xinxiang Medical University, 2017 Study Area: Biomedical Engineering.

๐Ÿข Working Experience

Lecturer, Medical Imageology Department, Health Science Center, Yangtza University, China Duration: 11/2023 – Present Research Assistant, Bioinstrumentation Department, Capital Medical University, China Duration: 9/2020 – 7/2023 Research Assistant, School of Biomedical Engineering, Capital Medical University, China Duration: 9/2017 – 7/2020.

๐Ÿ” Research Projects

Beijing Natural Science Foundation Grant/Award Number: L202005 Key Investigator Beijing Municipal Science and Technology Grant/Award Number: Z211100003521005 Key Investigator Ministry of Science and Technology Grant/Award Number: G20200123023 Key Investigator National Natural Science Foundation of China Grant/Award Number: 61827809 Key Investigator Capitalโ€™s Funds for Health Improvement and Research (CFH) Grant/Award Number: 2020-2-2072 Key Investigator

 

 

๐Ÿ“šTop Noted Publication

 

 

  • Zhang Y, Zhao J, et al. “Optimal Pedicle Screw Path Planning from Multi-directional Projections.” 2021 IEEE International Conference on Medical Imaging Physics and Engineering.

 

 

 

 

 

 

 

 

Biomedical Engineering

 

 

Yunxian Zhang | Biomedical Engineering | Young Scientist Award

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