158 citations · 240 across the 13 of their papers we have counts for
Showing 2019Show all
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eess.IV2019★ 9 cited
Enhancing the Extraction of Interpretable Information for Ischemic Stroke Imaging from Deep Neural Networks
Erico Tjoa, Guo Heng, Lu Yuhao +1
We implement a visual interpretability method Layer-wise Relevance Propagation (LRP) on top of 3D U-Net trained to perform lesion segmentation on the small dataset of multi-modal i…
cond-mat.mtrl-sci2019★ 69 cited
Machine learning driven synthesis of few-layered WTe2
Manzhang Xu, Bijun Tang, Chao Zhu +14
Reducing the lateral scale of two-dimensional (2D) materials to one-dimensional (1D) has attracted substantial research interest not only to achieve competitive electronic device a…
cond-mat.mtrl-sci2019★ 158 cited
Machine learning-guided synthesis of advanced inorganic materials
Bijun Tang, Yuhao Lu, Jiadong Zhou +6
Synthesis of advanced inorganic materials with minimum number of trials is of paramount importance towards the acceleration of inorganic materials development. The enormous complex…