14 citations · 25 across the 7 of their papers we have counts for
7 papers · 1 filter
H-Net: Unsupervised Attention-based Stereo Depth Estimation Leveraging Epipolar Geometry
Baoru Huang, Jian-Qing Zheng, Stamatia Giannarou +1
Depth estimation from a stereo image pair has become one of the most explored applications in computer vision, with most of the previous methods relying on fully supervised learnin…
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…
Fast Estimation of Haemoglobin Concentration in Tissue Via Wavelet Decomposition
Geoffrey Jones, Neil T Clancy, Xiaofei Du +4
Tissue oxygenation and perfusion can be an indicator for organ viability during minimally invasive surgery, for example allowing real-time assessment of tissue perfusion and oxygen…
Endoscopic Depth Measurement and Super-Spectral-Resolution Imaging
Jianyu Lin, Neil T. Clancy, Yang Hu +5
Intra-operative measurements of tissue shape and multi/ hyperspectral information have the potential to provide surgical guidance and decision making support. We report an optical…
Recovering Dense Tissue Multispectral Signal from in vivo RGB Images
Jianyu Lin, Neil T. Clancy, Daniel S. Elson
Hyperspectral/multispectral imaging (HSI/MSI) contains rich information clinical applications, such as 1) narrow band imaging for vascular visualisation; 2) oxygen saturation for i…