44 citations · 110 across the 4 of their papers we have counts for
5 papers
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…
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…
Super-resolution photoacoustic and ultrasound imaging with sparse arrays
Sergey Vilov, Bastien Arnal, Eliel Hojman +3
It has previously been demonstrated that model-based reconstruction methods relying on a priori knowledge of the imaging point spread function (PSF) coupled to sparsity priors on t…
Overcoming the acoustic diffraction limit in photoacoustic imaging by localization of flowing absorbers
Sergey Vilov, Bastien Arnal, Emmanuel Bossy
The resolution of photoacoustic imaging deep inside scattering media is limited by the acoustic diffraction limit. In this work, taking inspiration from super-resolution imaging te…
Super-resolution photoacoustic imaging via flow induced absorption fluctuations
Thomas Chaigne, Bastien Arnal, Sergey Vilov +2
In deep tissue photoacoustic imaging the spatial resolution is inherently limited by the acoustic wavelength. We present an approach for surpassing the acoustic diffraction limit b…