44 citations · 110 across the 4 of their papers we have counts for
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eess.IV2020★ 44 cited
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★ 29 cited
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…