14 citations · 14 across the 1 of their papers we have counts for
4 papers
U-Net Training with Instance-Layer Normalization
Xiao-Yun Zhou, Peichao Li, Zhao-Yang Wang +1
Normalization layers are essential in a Deep Convolutional Neural Network (DCNN). Various normalization methods have been proposed. The statistics used to normalize the feature map…
Estimation of Tissue Oxygen Saturation from RGB images and Sparse Hyperspectral Signals based on Conditional Generative Adversarial Network
Qingbiao Li, Jianyu Lin, Neil T. Clancy +1
Purpose: Intra-operative measurement of tissue oxygen saturation (StO2) is important in the detection of ischemia, monitoring perfusion and identifying disease. Hyperspectral imagi…
Estimation of Tissue Oxygen Saturation from RGB Images based on Pixel-level Image Translation
Qing-Biao Li, Xiao-Yun Zhou, Jianyu Lin +3
Intra-operative measurement of tissue oxygen saturation (StO2) has been widely explored by pulse oximetry or hyperspectral imaging (HSI) to assess the function and viability of tis…
Abdominal Aortic Aneurysm Segmentation with a Small Number of Training Subjects
Jian-Qing Zheng, Xiao-Yun Zhou, Qing-Biao Li +2
Pre-operative Abdominal Aortic Aneurysm (AAA) 3D shape is critical for customized stent-graft design in Fenestrated Endovascular Aortic Repair (FEVAR). Traditional segmentation app…