51 citations · 73 across the 3 of their papers we have counts for
3 papers
Deep Learning-Driven Quantitative Spectroscopic Photoacoustic Imaging for Segmentation and Oxygen Saturation Estimation
Ruibo Shang, Sidhartha Jandhyala, Yujia Wu +4
Spectroscopic photoacoustic (sPA) imaging can potentially estimate blood oxygenation saturation (sO2) in vivo noninvasively. However, quantitatively accurate results require accura…
A Two-step-training Deep Learning Framework for Real-time Computational Imaging without Physics Priors
Ruibo Shang, Kevin Hoffer-Hawlik, Geoffrey P. Luke
Deep learning (DL) is a powerful tool in computational imaging for many applications. A common strategy is to reconstruct a preliminary image as the input of a neural network to ac…
O-Net: A Convolutional Neural Network for Quantitative Photoacoustic Image Segmentation and Oximetry
Geoffrey P. Luke, Kevin Hoffer-Hawlik, Austin C. Van Namen +1
Estimation of blood oxygenation with spectroscopic photoacoustic imaging is a promising tool for several biomedical applications. For this method to be quantitative, it relies on a…