538 citations · 1.3k across the 15 of their papers we have counts for
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cond-mat.mtrl-sci2020
TEMImageNet Training Library and AtomSegNet Deep-Learning Models for High-Precision Atom Segmentation, Localization, Denoising, and Super-Resolution Processing of Atomic-Resolution Images
Ruoqian Lin, Rui Zhang, Chunyang Wang +2
Atom segmentation and localization, noise reduction and deblurring of atomic-resolution scanning transmission electron microscopy (STEM) images with high precision and robustness i…
cond-mat.mtrl-sci2020★ 1 cited
0.71-Å resolution electron tomography enabled by deep learning aided information recovery
Chunyang Wang, Guanglei Ding, Yitong Liu +1
Electron tomography, as an important 3D imaging method, offers a powerful method to probe the 3D structure of materials from the nano- to the atomic-scale. However, as a grant chal…