activity
20192023
most citedThe state-of-the-art 3D anisotropic intracranial hemorrhage segmentation on non-contrast head CT: The INSTANCE challenge

19 citations · 40 across the 5 of their papers we have counts for

collaborators

5 papers

eess.IV2023★ 19 cited

The state-of-the-art 3D anisotropic intracranial hemorrhage segmentation on non-contrast head CT: The INSTANCE challenge

Xiangyu Li, Gongning Luo, Kuanquan Wang +31

Automatic intracranial hemorrhage segmentation in 3D non-contrast head CT (NCCT) scans is significant in clinical practice. Existing hemorrhage segmentation methods usually ignores…

q-bio.QM2020

Accelerating drug repurposing for COVID-19 via modeling drug mechanism of action with large scale gene-expression profiles

Lu Han, G. C. Shan, B. F. Chu +4

The novel coronavirus disease, named COVID-19, emerged in China in December 2019, and has rapidly spread around the world. It is clearly urgent to fight COVID-19 at global scale. T…

cs.CV2020★ 8 cited

Recognizing Handwritten Mathematical Expressions as LaTex Sequences Using a Multiscale Robust Neural Network

Hongyu Wang, Guangcun Shan

In this paper, a robust multiscale neural network is proposed to recognize handwritten mathematical expressions and output LaTeX sequences, which can effectively and correctly focu…

cs.CV2019

An Efficient Target Detection and Recognition Method in Aerial Remote-sensing Images Based on Multiangle Regions-of-Interest

Guangcun Shan, Hongyu Wang, Wei Liang +3

Recently, deep learning technology have been extensively used in the field of image recognition. However, its main application is the recognition and detection of ordinary pictures…

cs.CV2019★ 13 cited

Robust Encoder-Decoder Learning Framework towards Offline Handwritten Mathematical Expression Recognition Based on Multi-Scale Deep Neural Network

Guangcun Shan, Hongyu Wang, Wei Liang

Offline handwritten mathematical expression recognition is a challenging task, because handwritten mathematical expressions mainly have two problems in the process of recognition.…