معرفی
Xue Gu is a Research Fellow in Molecular Biophysics and Biochemistry at Yale University, specializing in advanced medical imaging technologies. Her research develops deep learning frameworks for PET and SPECT image reconstruction, denoising, and analysis, with particular focus on cardiac and neurological applications. Recent work includes innovative approaches for low-count PET reconstruction, attenuation correction without CT, and dynamic motion correction.
Gu's publications demonstrate consistent focus on improving quantitative accuracy in nuclear medicine through generative adversarial networks (GANs), diffusion models, and self-supervised learning techniques. Her methods address critical challenges in cardiac SPECT denoising, Rb-82 PET imaging, and synaptic density estimation from MRI. The BodyGPS project represents a significant contribution to anatomical positioning systems for medical imaging analysis.
