22 citations · 22 across the 2 of their papers we have counts for
2 papers
eess.IV2025
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…
eess.IV2019★ 22 cited
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…