15 citations · 25 across the 4 of their papers we have counts for
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eess.IV2022
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…
eess.IV2022★ 15 cited
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…