About the Lab

Computational Sensing Group (CSG) of Xiamen University integrates information and mathematics theory, signal and image processing methods, artificial intelligence technology, etc. with optimization models and numerical algorithms, high-performance distributed computing, big data cloud platform, etc. Tightly combine to establish a new theoretical method of high-efficiency, high-fidelity and low-cost computational perception, ranging from atomic molecular molecular images to large-scale remote sensing images, as well as virtual networked medical big data and social networks.

At present, the main research direction is computational medical imaging, dedicated to breaking through the Nyquist sampling criteria through signal models, reconstruction algorithms and artificial intelligence, promoting the development of fast, high-dimensional, high-resolution, intelligent magnetic resonance medical imaging technology and solving high-end magnetic resonance medicine The key bottleneck of imaging equipment, creating original and independent intellectual property rights of new medical imaging technologies, achieving rapid molecular detection and stable medical imaging, advancing the development of signal processing methods and cutting-edge scientific research in medical imaging, protecting people's health and reducing medical costs .

(Source:http://csrc.xmu.edu.cn )