Current Professional Societies
Deep learning on medical images;
Brain aging and neurodegenerative diseases
1.Lin L, Fu Z, Wu Y, Wu S.Voluntary wheel running delays brain atrophy in aged mice. Technol Health Care. 2019;27(S1):175-184.
2.Lin L, Fu Z, Jin C, Tian M, Wu S. Small-world indices via network efficiency for brain networks from diffusion MRI. Exp Brain Res. 2018 Oct;236(10):2677-2689
3.Fu Z, Lin L, Tian M, Wang J, Zhang B, Chu P, Li S, Pathan MM, Deng Y, Wu S. Evaluation of five diffeomorphic image registration algorithms for mouse brain magnetic resonance microscopy. J Microsc. 2017 Nov;268(2):141-154
4.Lin L, Jin C, Fu Z, Zhang B, Bin G, Wu S.Predicting healthy older adult's brain age based on structural connectivity networks using artificial neural networks. Comput Methods Programs Biomed. 2016 Mar;125:8-17.
Lan Lin, Associate Professor and Master Student Supervisor, obtained his Ph.D. in bioengineering in August 2006 from Arizona State University. From 2006 to 2011, he worked in Arizona State University and University of Arizona to study the mechanism of aging and neurodegenerative diseases with neuroimaging (MRI / fMRI / PET) technology and modern morphometric processing and analysis methods. Since 2012, he has worked in the School of Life science and Bioengineering in Beijing University of technology. He has presided over one project supported by the National Natural Science Foundation of China and two projects supported by the Natural Science Foundation of Beijing Municipal Commission. More than 80 papers have been published and many of them have been indexed by SCI / EI.