معرفی
Leyun Pan is a Senior Scientist at the German Cancer Research Center (DKFZ) in Heidelberg, Germany, where they have been working since 2004. They are affiliated with the Clinical Cooperation Unit Nuclear Medicine at DKFZ, focusing on advanced medical imaging techniques, particularly in the field of Positron Emission Tomography (PET).
Their educational background includes:
- B.S. in Computer Science from Jinan University (1993.9-1997.7)
- M.S. in Computer Science from Shandong University (1997.9-2000.1)
- Ph.D. in Computer Science & Engineering from Shanghai Jiao Tong University (2000.4-2004.8)
Dr. Pan's research primarily focuses on Kinetic Modeling and Parametric imaging of dynamic PET data, Development of Quantitative PET software, Development of Gene PET software, Development of new models for the evaluation of dynamic PET data, and AI-based Dynamic PET Data Analysis. Their work bridges computer science and nuclear medicine, developing advanced computational methods for medical imaging analysis. They have made significant contributions to the field of quantitative PET imaging, particularly in oncology applications, with over 50 publications, an H-Index of 23, and 1,516 citations.
Dr. Pan's recent publications demonstrate a strong focus on advancing PET imaging technologies, particularly in oncology. Their work spans from fundamental methodological developments in kinetic modeling and parametric imaging to practical clinical applications. A notable trend is the integration of artificial intelligence techniques with traditional PET imaging methods to improve diagnostic accuracy and efficiency. Their research has evolved from basic software development to sophisticated AI-driven approaches for cancer diagnosis and treatment monitoring.
Dr. Pan has been actively involved in numerous research collaborations and projects, including multicenter studies in multiple myeloma, partnerships with Siemens on PET imaging techniques, and international collaborations with institutions in Sweden, Greece, and China. They have participated in significant research networks including the Network Transregio SFB-TR 79 sponsored by the German Research Society and the DOT-MOBI network sponsored by the Federal Ministry of Education and Research BMBF. Since 2005, they have presented more than 20 times at SNMMI and EANM meetings.
As part of the Clinical Cooperation Unit Nuclear Medicine at DKFZ, Dr. Pan collaborates extensively with various research groups including the Research Consortium for Medical Image Analysis (RECOMIA), and maintains partnerships with Siemens, the University of Gothenburg, the National Technical University of Athens, and Harbin Institute of Technology, Shenzhen. Their current work focuses on precise cancer diagnosis based on big data, AI tools for automated PET/CT analysis, and advanced segmentation techniques for tumor volume calculation.
