51 citations · 75 across the 3 of their papers we have counts for
3 papers
Deep-learning-driven Reliable Single-pixel Imaging with Uncertainty Approximation
Ruibo Shang, Mikaela A. O'Brien, Geoffrey P. Luke
Single-pixel imaging (SPI) has the advantages of high-speed acquisition over a broad wavelength range and system compactness, which are difficult to achieve by conventional imaging…
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…