15 citations · 25 across the 4 of their papers we have counts for
4 papers
A Flow-based Truncated Denoising Diffusion Model for Super-resolution Magnetic Resonance Spectroscopic Imaging
Siyuan Dong, Zhuotong Cai, Gilbert Hangel +12
Magnetic Resonance Spectroscopic Imaging (MRSI) is a non-invasive imaging technique for studying metabolism and has become a crucial tool for understanding neurological diseases, c…
Noise-resilient approach for deep tomographic imaging
Zhen Guo, Zhiguang Liu, Qihang Zhang +2
We propose a noise-resilient deep reconstruction algorithm for X-ray tomography. Our approach shows strong noise resilience without obtaining noisy training examples. The advantage…
Physics-assisted Generative Adversarial Network for X-Ray Tomography
Zhen Guo, Jung Ki Song, George Barbastathis +5
X-ray tomography is capable of imaging the interior of objects in three dimensions non-invasively, with applications in biomedical imaging, materials science, electronic inspection…
Advantage of Machine Learning over Maximum Likelihood in Limited-Angle Low-Photon X-Ray Tomography
Zhen Guo, Jung Ki Song, George Barbastathis +5
Limited-angle X-ray tomography reconstruction is an ill-conditioned inverse problem in general. Especially when the projection angles are limited and the measurements are taken in…