1 citations · 1 across the 4 of their papers we have counts for
4 papers
DGGAN: Degradation Guided Generative Adversarial Network for Real-time Endoscopic Video Enhancement
Handing Xu, Zhenguo Nie, Tairan Peng +2
Endoscopic surgery relies on intraoperative video, making image quality a decisive factor for surgical safety and efficacy. Yet, endoscopic videos are often degraded by uneven illu…
SuperMeshing: A New Deep Learning Architecture for Increasing the Mesh Density of Metal Forming Stress Field with Attention Mechanism and Perceptual Features
Qingfeng Xu, Zhenguo Nie, Handing Xu +2
In stress field analysis, the finite element analysis is a crucial approach, in which the mesh-density has a significant impact on the results. High mesh density usually contribute…
SuperMeshing: A Novel Method for Boosting the Mesh Density in Numerical Computation within 2D Domain
Handing Xu, Zhenguo Nie, Qingfeng Xu +1
Due to the limit of mesh density, the improvement of the spatial precision of numerical computation always leads to a decrease in computing efficiency. Aiming at this inability of…
Artificial Intelligence Enhanced Rapid and Efficient Diagnosis of Mycoplasma Pneumoniae Pneumonia in Children Patients
Chenglin Pan, Kuan Yan, Xiao Liu +5
Artificial intelligence methods have been increasingly turning into a potentially powerful tool in the diagnosis and management of diseases. In this study, we utilized logistic reg…