13 citations · 13 across the 1 of their papers we have counts for
3 papers
Dense Dilated UNet: Deep Learning for 3D Photoacoustic Tomography Image Reconstruction
Steven Guan, Ko-Tsung Hsu, Matthias Eyassu +1
In photoacoustic tomography (PAT), the acoustic pressure waves produced by optical excitation are measured by an array of detectors and used to reconstruct an image. Sparse spatial…
Limited View and Sparse Photoacoustic Tomography for Neuroimaging with Deep Learning
Steven Guan, Amir A. Khan, Siddhartha Sikdar +1
Photoacoustic tomography (PAT) is a nonionizing imaging modality capable of acquiring high contrast and resolution images of optical absorption at depths greater than traditional o…
Fully Dense UNet for 2D Sparse Photoacoustic Tomography Artifact Removal
Steven Guan, Amir Khan, Siddhartha Sikdar +1
Photoacoustic imaging is an emerging imaging modality that is based upon the photoacoustic effect. In photoacoustic tomography (PAT), the induced acoustic pressure waves are measur…