2 papers
eess.IV2020
Compensating for visibility artefacts in photoacoustic imaging with a deep learning approach providing prediction uncertainties
Guillaume Godefroy, Bastien Arnal, Emmanuel Bossy
Conventional photoacoustic imaging may suffer from the limited view and bandwidth of ultrasound transducers. A deep learning approach is proposed to handle these problems and is de…
physics.optics2020
Photoacoustic fluctuation imaging: theory and application to blood flow imaging
Sergey Vilov, Guillaume Godefroy, Bastien Arnal +1
Photoacoustic fluctuation imaging, which exploits randomness in photoacoustic generation, provides enhanced images in terms of resolution and visibility, as compared to conventiona…