Dr. Xianlin Song


Dr. Xianlin Song, Nanchang University, China (SPIE member)

Xianlin Song, Deputy Director of Imaging and Visual Representation Laboratory of Nanchang University, Master Supervisor of Nanchang University, National Natural Science Foundation review expert, SPIE member, member of China Computer Society and China Communication Society. He graduated from the research group of Academician Luo Qingming, Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, and had a short-term exchange study in Stanford University. He has been committed to the research of new intelligent photoelectric imaging methods and new technologies, and has in-depth research in artificial intelligence, optical imaging, photoacoustic imaging, super resolution imaging and other fields. His papers on photoacoustic imaging were cited by Lihong V. Wang, academician of the National Academy of Engineering, an international leader in the field of photoacoustic imaging. He has been invited to give presentations at top international academic conferences such as SPIE Photonics West, SPIE Medical Imaging and SPIE/COS Photonics Asia. He is an anonymous reviewer for several journals, such as Advanced Science, Photoacoustics, Physics in Medicine & Biology, Advanced Intelligent Systems, Journal of Neural Engineering, Annalen der Physik, Current Medical Imaging, He is the conference chairman of IACOP 2023. His paper, "High-resolution volumetric information fusion for depth of field enhancement in photoacoustic microscopy",“Noiseinsensitive defocused signal and resolution enhancement for opticalresolution photoacoustic microscopy via deep learning" was selected as the cover and front page of Journal of Biophotonics, a top international journal in the field of biomedical photonics. He Won the SPIE-CLP Conference on Advanced Photonics 2022 Most Popular excellent paper Award, 2020 SPIE Community Champion Award.
Research interests: Intelligent photoelectric imaging,  Artificial intelligence, optical imaging, photoacoustic imaging, super resolution imaging